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Texas A&M - STAT 303
  • 6 Pages Practice_FinalExam
    Practice_FinalExam

    School: Texas A&M

    Use the following to answer questions 1-5: The data referred to in this question were collected on 41 employees of a large company. The company is trying to predict the current salary of its employees from their starting salary (both expressed in tho

  • 11 Pages practest_4_elizabeth
    Practest_4_elizabeth

    School: Texas A&M

    Course: Statistical Methods

    Section I A farmer wanted to compare the number of bushels of corn that were yielded when he tried three different fertilizers (labeled 1, 2, and 3) on his crops. The farmer divided up his land into many plots, and each plot was randomly assigned one of t

  • 64 Pages ch6
    Ch6

    School: Texas A&M

    IntroductiontoInference IPS Chapter 6 6.1: Estimating with Confidence 6.2: Tests of Significance 6.3: Use and Abuse of Tests 6.4: Power and Inference as a Decision 2012 W.H. Freeman and Company OverviewofInference Methods for drawing conclusions about a

  • 33 Pages Chapter 3
    Chapter 3

    School: Texas A&M

    Introduction Read the summary sections in Ch 3 Obtaining Data: Available Data and Anecdotal Evidence Explanatory and Response variables Observation vs. Experiment Lurking variables and Confounding 1 Why study sampling? Wikipedia says 10% of the gener

  • 23 Pages CHAPTER 12
    CHAPTER 12

    School: Texas A&M

    Chapter 12 One-Way Analysis of Variance Introduction to the Practice of STATISTICS SEVENTH EDITION Moore / McCabe / Craig Lecture Presentation Slides 12.1 Inference for One-Way Analysis of Variance The Idea of ANOVA Comparing Several Means The Problem

  • 2 Pages Chapter_4
    Chapter_4

    School: Texas A&M

    Chapter 4 - Probability A random phenomenon has outcomes that we cannot predict but that nonetheless have a regular distribution in very many repetitions. The probability of an event is the proportion of times the event occurs in many repeated trials of a

  • 1 Page confint
    Confint

    School: Texas A&M

    Confidence Intervals Formulas Chapter 6 For (mean): x z / 2 / n 1. The sample mean, x , estimates the population mean, and is therefore the center of our interval. 2. The margin of error is made of: a. z/2 gives us the desired confidence level. b. the pop

  • 2 Pages DIFF
    DIFF

    School: Texas A&M

    Many companies place advertisements to improve the image of their brand rather than to promote specific products. In a randomized comparative experiment, business students read ads that cited either the Wall Street Journal or the National Enquirer for imp

  • 3 Pages ex2pracsp13
    Ex2pracsp13

    School: Texas A&M

    STAT303 PracticeExam #2 Spring 2013 1. Suppose we are trying to test H0 : = 3 vs. HA : = 4. We want to test H0 : = 60 vs. HA : > 60. We 3, where is the average number of children a woman get a sample of 50 and nd the mean to be 55.3. From thinks a family

  • 2 Pages Bivariaterecap
    Bivariaterecap

    School: Texas A&M

    Bivariate data Recap Defintions: Equation of the line, y = b0 + b1x: calculated by minimizing the distance of the points to the line in the y(vertical) direction, assuming x is the independent variable, y is dependent on x and hoping to be able to predict

  • 2 Pages linreg_ans
    Linreg_ans

    School: Texas A&M

    STAT303 Sec 507-510 Regression Practice 1. How would you describe the correlation of this data? A. B. C. D. E. 5. Which of the following is the best approximation of the linear equation for this data? Strongly negative Moderately negative Weak Moderately

  • 4 Pages mkp3sp13_ans
    Mkp3sp13_ans

    School: Texas A&M

    STAT303 Sec 504 Spring 2013 Make Up Exam #3 Instructor: Julie Hagen Carroll Name: 1. Please write any questions or explanations on this exam so that we can discuss them later. 2. There are 20 multiple-choice questions on this exam, each worth 5 points. Th

  • 1 Page reganova
    Reganova

    School: Texas A&M

    ANALYSIS OF VARIANCE for Simple Linear Regression Hypotheses: Ho: 1 = 0 (use y = y to predict y, there is no linear relationship between x and y) HA: 1 0 (use y = b0 + b1 * x to predict y, there is a stat sig linear relationship between x and y) Assumptio

  • 64 Pages ch6 (1)
    Ch6 (1)

    School: Texas A&M

    IntroductiontoInference IPS Chapter 6 6.1: Estimating with Confidence 6.2: Tests of Significance 6.3: Use and Abuse of Tests 6.4: Power and Inference as a Decision 2012 W.H. Freeman and Company OverviewofInference Methods for drawing conclusions about a

  • 7 Pages CH_5_means
    CH_5_means

    School: Texas A&M

    5.1 The Sampling Distribution of a Sample Mean Population Distribution vs. Sampling Distribution The Mean and Standard Deviation of the Sample Mean Sampling Distribution of a Sample Mean Central Limit Theorem 1 Sampling Distributions The law of large

  • 1 Page anovainfo
    Anovainfo

    School: Texas A&M

    ANALYSIS OF VARIANCE One-Way ANOVA Assumptions: 1. Each of the k population or group distributions is normal. check with a Normal Quantile Plot (or boxplot) of each group 2. These distributions have identical variances (standard deviations). check if larg

  • 7 Pages Practice Exam 2_2
    Practice Exam 2_2

    School: Texas A&M

    Course: Statistical Methods

    1. An agricultural researcher plants 25 plots with a new variety of yellow corn. Assume that the yield per acre for the new variety of yellow corn follows a normal distribution with unknown mean and standard deviation = 10 bushels per acre. If the average

  • 1 Page Q2
    Q2

    School: Texas A&M

    Course: Statistical Methods

    Stat-303-501 QUIZ 1 Name: KEY - - Please put your answers in the box below. Q1) D 2 points Q2) C 1 point Q3) B 2 points 1. Suppose that the random variable X is the amount in dollars won on a $1 lottery ticket, and that Xs probability distribution is summ

  • 1 Page Q3
    Q3

    School: Texas A&M

    Course: Statistical Methods

    Stat-303-501 QUIZ 2 Name: KEY - - Please put your answers in the box below. Q1) C 2 POINTS Q2) B 3 POINTS 1. A restaurant owner wants to know what proportion of dinner parties order appetizers. Suppose that the true proportion is 60%. He takes a sample of

  • 1 Page Q6
    Q6

    School: Texas A&M

    Course: Statistical Methods

    Stat-303-501 QUIZ 5: Name: KEY Please put your answers in the box below. Q1) A Q2) C 2 pts 3 pts Researchers are interested in whether or not household income will predict how much money is spent on cell phone bills. They randomly sampled 10 households of

  • 1 Page Q7
    Q7

    School: Texas A&M

    Course: Statistical Methods

    Stat-303-501 QUIZ 5 Name: KEY Please put your answers in the box below. Q1) D 3 pts Q2) B 2 pts Three freshman English professors from A&M, SMU, and MSU had a discussion and a conference about TV shows and the kind of students that attended different univ

  • 5 Pages spr8(key2)
    Spr8(key2)

    School: Texas A&M

    Course: Statistical Methods

    1.) In a hypothesis test for Ho: = 0.04 vs. Ha: 0.04, it was found from a sample of 36 that x = 0.06, and it was known that = 0.02. Calculate the test statistic for this test. A.) 1 B.) 0 C.) 6 D.) 0.06 E.) 0.04 2.) In a hypothesis test of Ho: = 5 vs. Ha:

  • 4 Pages ex3asp13
    Ex3asp13

    School: Texas A&M

    STAT303 Sec 504 Spring 2013 Exam #3 Form A Instructor: Julie Hagen Carroll Name: 1. Dont even open this until you are told to do so. 2. There are 18 multiple-choice questions on this exam, each worth 5 points, and 5 True/False, each worth 2 points. There

  • 3 Pages finasp11
    Finasp11

    School: Texas A&M

    STAT303: 508, 509 and 510 Final Exam, Form A 1. What are the missing values in the Treatment row? ANOVA table Source df SS Treatments 5 ? Error 266.332 Total 121 300.295 MS ? F-Stat ? A. # of means = 6, SST = 33.963, = 2.958 B. # of means = 6, SST = 33.96

  • 1 Page Graphs_and_Summaries
    Graphs_and_Summaries

    School: Texas A&M

    Graphs and Summaries Categorical Bar chart Numeric Stemplot Pie chart Histogram Frequency table Frequency table Count Mean, median Proportion Standard deviation, IQR

  • 3 Pages prac3sp13_ans
    Prac3sp13_ans

    School: Texas A&M

    STAT303 Sec 508-510 Practic Exam #3 Fall 2011 1. If I test H0 : p = 0.5 vs. HA : p = 0.5 and reject at the 5. Does your major aect your grade expectations? The table below show the counts and expected counts for 10% level, then college and expected grade

  • 5 Pages SYL_201311_12932
    SYL_201311_12932

    School: Texas A&M

    Syllabus Statistics 303 Section 504, Spring 2013 Monday/Wednesday 4:10 - 5:25PM HELD 200 Instructor: Julie Hagen Carroll, BLOC 410A, e-mail: julie@stat.tamu.edu Oce Hours: T 2-4, W 2-3. For apptsplease email me and give me at least 24 hours. Stat Dept. Oc

  • 23 Pages 7
    7

    School: Texas A&M

    7.2 Comparing Two Means Two-Sample Problems The Two-Sample t Procedures Pooled Two-Sample t Procedures 1 Two-Sample Problems What if we want to compare the mean of some quantitative variable for the individuals in two populations, Population 1 and Popu

  • 2 Pages Residual
    Residual

    School: Texas A&M

    Good Residual Plot happens when all the assumptions for regression are met. Height vs. Weight Damage vs. TNT Size vs. Cost Heteroskedasticity happens when the error depends on the x variable Sales vs. Temperature Salary vs. Education Sanity vs. Dosage Dep

  • 1 Page categorical_data
    Categorical_data

    School: Texas A&M

    Probabilities of a Two-Way Table Grades Males Females Totals A r1c1 r1c2 R1 B r2c1 r2c2 R2 C r3c1 r3c2 R3 D r4c1 r4c2 R4 C1 C2 Grand Total Totals row total cell count column total Sum of all the data = n Joint Probabilities: the cell counts divided by the

  • 5 Pages ex1asp01
    Ex1asp01

    School: Texas A&M

    STAT303 Secs 509511 Spring 2001 Exam #1 Form A Instructor: Julie Hagen Carroll May 2, 2001 1. Dont EVEN open this until you are told to do so. 2. Be sure to MARK your REGISTERED section number and your test form (A, B, C or D) on the scantron! 3. Sign you

  • 4 Pages ex1asp02
    Ex1asp02

    School: Texas A&M

    STAT303 Secs 509511 Spring 2002 Exam #1 Form A Instructor: Julie Hagen Carroll PRINT Your Name: Thursday Section: Computer Number: 1. Dont EVEN open this until you are told to do so. 2. Be sure to MARK your REGISTERED section number and your test form (A,

  • 5 Pages ex1asp03
    Ex1asp03

    School: Texas A&M

    STAT303 Secs 509511 Spring 2003 Exam #1 Form A Instructor: Julie Hagen Carroll September 24, 2002 1. Dont EVEN open this until you are told to do so. 2. There are 20 multiple-choice questions on this exam, each worth 5 points. There is partial credit. Ple

  • 5 Pages ex1asp04
    Ex1asp04

    School: Texas A&M

    STAT303 Secs 508510 Spring 2004 Exam #1 Form A Instructor: Julie Hagen Carroll 1. Dont EVEN open this until you are told to do so. 2. There are 20 multiple-choice questions on this exam, each worth 5 points. There is partial credit. Please mark your answe

  • 4 Pages ex1asp07
    Ex1asp07

    School: Texas A&M

    STAT303 Sec 508-510 Spring 2007 Exam #1 Form A Instructor: Julie Hagen Carroll Name: 1. Dont even open this until you are told to do so. 2. Please PRINT your name in the blanks provided. 3. There are 20 multiple-choice questions on this exam, each worth 5

  • 3 Pages ex1asp08
    Ex1asp08

    School: Texas A&M

    STAT303 Sec 508-510 Spring 2008 Exam #1 Form A Instructor: Julie Hagen Carroll Name: 1. Dont even open this until you are told to do so. 2. All graphs are on the last page which you may remove. 3. There are 20 multiple-choice questions on this exam, each

  • 4 Pages ex1asp09
    Ex1asp09

    School: Texas A&M

    Stat 303-508-510 Spring 2009 Exam 1 Form A 1. Do not open this test until told to do so. 2. BEFORE YOU DO ANYTHING ELSE: fill out your name, section (508=Tuesday 12:45, 509=2:20 or 510=3:55), UIN, and FORM (A, B or C). 3. Sign your name on the scantron wh

  • 3 Pages ex1asp10
    Ex1asp10

    School: Texas A&M

    STAT303 Sec 508-510 Spring 2010 Exam #1 Form A Instructor: Julie Hagen Carroll Name: 1. Dont even open this until you are told to do so. 2. There are 20 multiple-choice questions on this exam, each worth 5 points. There is partial credit. Please mark your

  • 4 Pages ex1asp11
    Ex1asp11

    School: Texas A&M

    STAT303 Sec 508-510 Spring 2011 Exam #1 Form A Instructor: Julie Hagen Carroll Name: 1. Dont even open this until you are told to do so. 2. There are 20 multiple-choice questions on this exam, each worth 5 points. There is partial credit. Please mark your

  • 4 Pages ex1asp12
    Ex1asp12

    School: Texas A&M

    STAT303 Secs 507-510 Spring 2012 Exam #1 Form A Instructor: Julie Hagen Carroll May 2, 2012 1. Do not open this exam until you are told to do so. 2. There are 20 multiple-choice questions on this exam, each worth the same amount. Please mark your answers

  • 4 Pages ex1asp13
    Ex1asp13

    School: Texas A&M

    STAT303 Secs 504 Spring 2013 Exam #1 Form A Instructor: Julie Hagen Carroll February 7, 2013 1. Do not open this exam until you are told to do so. 2. There are 20 multiple-choice questions on this exam, each worth the same amount. Please mark your answers

  • 5 Pages ex1f04a
    Ex1f04a

    School: Texas A&M

    STAT303: Secs 508 - 510 Fall 2004 Exam #1 Form A Instructor: Julie Hagen Carroll 1. Dont EVEN open this until you are told to do so. 2. Be sure to mark your CORRECT section number and your test form on the scantron! 3. Sign your name where indicated on yo

  • 4 Pages ex1af12
    Ex1af12

    School: Texas A&M

    STAT303 Sec 507-510 Fall 2012 Exam #1 Form A Instructor: Julie Hagen Carroll Name: 1. Dont even open this until you are told to do so. 2. There are 20 multiple-choice questions on this exam, each worth 5 points. There is partial credit. Please mark your a

  • 4 Pages ex1af11
    Ex1af11

    School: Texas A&M

    STAT303 Sec 507 Fall 2011 Exam #1 Form A Instructor: Julie Hagen Carroll Name: 1. Please PRINT your name in the blank above. 2. Do not open this exam until you are told to do so. 3. There are 20 multiple-choice questions on this exam, each worth the same.

  • 3 Pages ex1af10
    Ex1af10

    School: Texas A&M

    STAT303 Sec 508-510 Fall 2010 Exam #1 Form A Instructor: Julie Hagen Carroll Name: 1. Dont even open this until you are told to do so. 2. All graphs are on the last page which you may remove. 3. There are 20 multiple-choice questions on this exam, each wo

  • 1 Page ciandht
    Ciandht

    School: Texas A&M

    Confidence Intervals and Hypothesis Testing Review Definitions: H0 the null hypothesis, the status quo, what we assume to be true and reject if the data supports the alternative HA the alternative hypothesis, often called the researchers hypothesis, if we

  • 1 Page Hypothesis
    Hypothesis

    School: Texas A&M

    Hypothesis Testing Summary One Categorical Random Variable: Proportions are best summary I. Assumptions 1.) Both np and n(1-p) are at least 10. 2.) Independence: random sampling or random assignment (or both), and population size not too small(sample can

  • 3 Pages zttables
    Zttables

    School: Texas A&M

    Z and t Tables Z Table: Negative Values Body of table gives area under Z curve to the left of z. Example: P[Z < -2.63] = .0043 z -3.80 -3.70 -3.60 -3.50 -3.40 -3.30 -3.20 -3.10 -3.00 -2.90 -2.80 -2.70 -2.60 -2.50 -2.40 -2.30 -2.20 -2.10 -2.00 -1.90 -1.80

  • 4 Pages ex1a8f06
    Ex1a8f06

    School: Texas A&M

    STAT303: Secs 508-510 Fall 2006 Exam #1 Form A Instructor: Julie Hagen Carroll 1. Dont EVEN open this until you are told to do so. 2. Be sure to mark your CORRECT section number and your test form on the scantron! 3. Sign your name where indicated on your

  • 5 Pages ex1a508
    Ex1a508

    School: Texas A&M

    STAT303 Sec 508-510 Spring 2006 Exam #1 Instructor: Julie Hagen Carroll Name: 1. Dont even open this until you are told to do so. 2. Please PRINT your name in the blanks provided. 3. There are 20 multiple-choice questions on this exam, each worth 5 points

  • 4 Pages ex1af01
    Ex1af01

    School: Texas A&M

    STAT303 Secs 508510 Fall 2001 Exam #1 Form A Instructor: Julie Hagen Carroll 1. Dont EVEN open this until you are told to do so. 2. Be sure to mark your section number and your test form (A, B, C or D) on the scantron! 3. Dont sign your name until you tur

  • 4 Pages ex1af02
    Ex1af02

    School: Texas A&M

    STAT303 Secs 508510 Fall 2002 Exam #1 Form A Instructor: Julie Hagen Carroll September 24, 2002 1. Dont EVEN open this until you are told to do so. 2. There are 20 multiple-choice questions on this exam, each worth 5 points. There is partial credit. Pleas

  • 4 Pages ex1af03
    Ex1af03

    School: Texas A&M

    STAT303 Secs 508510 Fall 2003 Exam #1 Form A Instructor: Julie Hagen Carroll September 23, 2003 1. Dont EVEN open this until you are told to do so. 2. There are 20 multiple-choice questions on this exam, each worth 5 points. There is partial credit. Pleas

  • 5 Pages ex1af05
    Ex1af05

    School: Texas A&M

    STAT303: Sec 508-510 Fall 2005 Exam #1 Form A Instructor: Julie Hagen Carroll 1. Dont EVEN open this until you are told to do so. 2. Be sure to mark your CORRECT section number and your test form on the scantron! 3. Sign your name where indicated on your

  • 4 Pages ex1af07
    Ex1af07

    School: Texas A&M

    STAT303 Sec 508-510 Fall 2007 Exam #1 Form A Instructor: Julie Hagen Carroll Name: 1. Dont even open this until you are told to do so. 2. All graphs are on the last page which you may remove. 3. There are 20 multiple-choice questions on this exam, each wo

  • 5 Pages ex1af08
    Ex1af08

    School: Texas A&M

    Stat 303-508-510 Fall 2008 Exam 1 Form A 1. Do not open this test until told to do so. 2. BEFORE YOU DO ANYTHING ELSE: fill out your name, section (508=Tuesday 12:45, 509=2:20 or 510=3:55), UIN, and FORM (A, B or C). 3. Sign your name on the scantron wher

  • 4 Pages ex1af09
    Ex1af09

    School: Texas A&M

    STAT303 Sec 508-510 Fall 2009 Exam #1 Form A Instructor: Julie Hagen Carroll Name: 1. Dont even open this until you are told to do so. 2. All graphs are on the last page which you may remove. 3. There are 20 multiple-choice questions on this exam, each wo

  • 4 Pages ex1fsp05a
    Ex1fsp05a

    School: Texas A&M

    STAT303: Secs 508 - 510 Spring 2005 Exam #1 Form A Instructor: Julie Hagen Carroll 1. Dont EVEN open this until you are told to do so. 2. Be sure to mark your CORRECT section number and your test form on the scantron! 3. Sign your name where indicated on

  • 4 Pages exam 1 ex
    Exam 1 Ex

    School: Texas A&M

    Lab#_ Section 30_5_ Exam 1 Explanations Name_ Partner: _ 1. We know that the distribution of our dataset is bell-shaped, the mean, x = 14 and the standard deviation, s = 6. Which of the following statements would be true about our data? A.) The me

  • 7 Pages lab11
    Lab11

    School: Texas A&M

    %!PS (but not EPSF; comments have been disabled) %DVIPSCommandLine: dvips -Php1 -o lab11.dvi %DVIPSParameters: dpi=600, compressed, comments removed %DVIPSSource: TeX output 1996.04.14:1748 /TeXDict 250 dict def TeXDict begin /N{def}def /B{bind def}N

  • 10 Pages lab1
    Lab1

    School: Texas A&M

    %!PS (but not EPSF; comments have been disabled) %DVIPSCommandLine: dvips -o lab1.ps lab1 %DVIPSParameters: dpi=600, compressed, comments removed %DVIPSSource: TeX output 1996.09.03:1607 /TeXDict 250 dict def TeXDict begin /N{def}def /B{bind def}N /S

  • 60 Pages Chapter1
    Chapter1

    School: Texas A&M

    Chapter 1: Looking at Data Distributions 1 1. Introduction Individual: objects described by a set of data (people, animals, or things) Variable: Characteristic of an individual. It can take on different values for different individuals. Examples

  • 5 Pages ex02_p_sol
    Ex02_p_sol

    School: Texas A&M

    Practice Exam II 1) Ashley calculates a 95% confidence interval for the proportion of students at A&M who are foreign. Her confidence interval was (0.102, 0.435). Which of the following statements about Ashley's Confidence Interval are true? (Check a

  • 8 Pages lab1
    Lab1

    School: Texas A&M

    %!PS (but not EPSF; comments have been disabled) %DVIPSCommandLine: dvips -Psp1 -o lab1.dvi %DVIPSParameters: dpi=400, compressed, comments removed %DVIPSSource: TeX output 1996.01.16:1839 /TeXDict 250 dict def TeXDict begin /N{def}def /B{bind def}N

  • 6 Pages lab5
    Lab5

    School: Texas A&M

    %!PS (but not EPSF; comments have been disabled) %DVIPSCommandLine: dvips -Psp1 -o lab5.dvi %DVIPSParameters: dpi=400, compressed, comments removed %DVIPSSource: TeX output 1996.02.26:1152 /TeXDict 250 dict def TeXDict begin /N{def}def /B{bind def}N

  • 6 Pages lab7
    Lab7

    School: Texas A&M

    %!PS (but not EPSF; comments have been disabled) %DVIPSCommandLine: dvips -Psp1 -o lab7.dvi %DVIPSParameters: dpi=400, compressed, comments removed %DVIPSSource: TeX output 1996.03.18:1354 /TeXDict 250 dict def TeXDict begin /N{def}def /B{bind def}N

  • 7 Pages lab8
    Lab8

    School: Texas A&M

    %!PS (but not EPSF; comments have been disabled) %DVIPSCommandLine: dvips -Psp1 -o lab8.dvi %DVIPSParameters: dpi=400, compressed, comments removed %DVIPSSource: TeX output 1996.03.25:1529 /TeXDict 250 dict def TeXDict begin /N{def}def /B{bind def}N

  • 11 Pages syllabus303
    Syllabus303

    School: Texas A&M

    %!PS (but not EPSF; comments have been disabled) %DVIPSCommandLine: dvips -osyllabus303.dvi.ps syllabus303 %DVIPSParameters: dpi=600, compressed, comments removed %DVIPSSource: TeX output 1996.01.16:1021 /TeXDict 250 dict def TeXDict begin /N{def}def

  • 12 Pages syllabus303
    Syllabus303

    School: Texas A&M

    %!PS (but not EPSF; comments have been disabled) %DVIPSCommandLine: dvips -o syllabus303.ps syllabus303 %DVIPSParameters: dpi=600, compressed, comments removed %DVIPSSource: TeX output 1996.09.01:1634 /TeXDict 250 dict def TeXDict begin /N{def}def /B

  • 18 Pages ch10teacher
    Ch10teacher

    School: Texas A&M

    Statistics 303 Chapter 10 Least Squares Regression Analysis 1 Regression Review (you may want to look at Chapter 2) We have seen that we can examine the relationship between two numeric variables. Linear Regression Linear Regression Miles per Gal

  • 46 Pages ch8
    Ch8

    School: Texas A&M

    Statistics 303 Chapter 8 Inference for Proportions Recall from Chapter5 Sampling distribution of a categorical data. The random variable, X, is a count of the occurrences of some outcome in a fixed number of observations. The distribution of the

  • 9 Pages lab10
    Lab10

    School: Texas A&M

    %!PS (but not EPSF; comments have been disabled) %DVIPSCommandLine: dvips -Php1 -o lab10.dvi %DVIPSParameters: dpi=600, compressed, comments removed %DVIPSSource: TeX output 1996.04.15:1450 /TeXDict 250 dict def TeXDict begin /N{def}def /B{bind def}N

  • 5 Pages lab9
    Lab9

    School: Texas A&M

    %!PS (but not EPSF; comments have been disabled) %DVIPSCommandLine: dvips -Psp1 -o lab9.dvi %DVIPSParameters: dpi=400, compressed, comments removed %DVIPSSource: TeX output 1996.04.08:1105 /TeXDict 250 dict def TeXDict begin /N{def}def /B{bind def}N

  • 3 Pages HW 1
    HW 1

    School: Texas A&M

    Lab#_ Section 30_5_ Name_ Partner: _ Homework #1 Due Feb. 2nd or 3rd. BE SURE YOU READ THE HOMEWORK INFORMATION HANDOUT! You must have the header information at the top of YOUR homework. Even though you may have a partner, each of you must turn in

  • 8 Pages completed HW 1
    Completed HW 1

    School: Texas A&M

    Lab # _ Section: 303-510 5 0% Name: Partner: Bars s how percents 4 0% Percent 3 0% 2 0% 1 0% fi sh sop h j u ni o r sen i o r class 1. The Shape of this distribution appears to be mostly normal because the peak is relatively center and it

  • 4 Pages Hw 2 completed
    Hw 2 Completed

    School: Texas A&M

    Lab # _ Section: 303-510 Name: Partner: Homework 2 1) a) As a Liberal Arts (LA) major you are 42.1% likely to be a visual learner. b) As an Architecture (ARCH) major you are 25% likely to be a manual learner. c) A student in the college of Veterina

  • 3 Pages hw2
    Hw2

    School: Texas A&M

    Lab#_ Section 30_5_ Homework #2 Name_ Partner: _ BE SURE YOU READ THE HOMEWORK INFORMATION HANDOUT! This homework is due Feb. 9th or 10th in lab. You will be using the F04survey.sav data file from last week. 1. Run Analyze Descriptive statistics

  • 4 Pages practice1
    Practice1

    School: Texas A&M

    1. Which of the following is a discrete quantitative variable? A. Zip code B. Weight of a person C. Section of STAT 303 D. Number of cars a person owns E. Room temperature measured as accurately as possible 2. The average price of an IPOD sold in eBa

  • 31 Pages Chapter4
    Chapter4

    School: Texas A&M

    S ta tis tic s 303 Chapter 4 Probability Probability model When we study certain random phenomenon (ex. tossing a coin, choosing a digit at random ), we will describe it by: A list of all possible outcomes (called sample space, denoted by S) Ex.1.

  • 4 Pages julie08sp2
    Julie08sp2

    School: Texas A&M

    STAT303 Sec 508-510 Spring 2008 Exam #2 Form A Instructor: Julie Hagen Carroll Name: 1. Don't even open this until you are told to do so. 2. There are 20 multiple-choice questions on this exam, each worth 5 points. There is partial credit. Please mar

  • 3 Pages ZTtable
    ZTtable

    School: Texas A&M

    Z and t Tables Z Table: Negative Values Body of table gives area under Z curve to the left of z. Example: P[Z < -2.63] = .0043 z -3.80 -3.70 -3.60 -3.50 -3.40 -3.30 -3.20 -3.10 -3.00 -2.90 -2.80 -2.70 -2.60 -2.50 -2.40 -2.30 -2.20 -2.10 -2.00 -1.90 -

  • 8 Pages lab2
    Lab2

    School: Texas A&M

    %!PS (but not EPSF; comments have been disabled) %DVIPSCommandLine: dvips -Psp1 -o lab2.dvi %DVIPSParameters: dpi=400, compressed, comments removed %DVIPSSource: TeX output 1996.01.19:1338 /TeXDict 250 dict def TeXDict begin /N{def}def /B{bind def}N

  • 6 Pages lab3
    Lab3

    School: Texas A&M

    %!PS (but not EPSF; comments have been disabled) %DVIPSCommandLine: dvips -Psp1 -o lab3.dvi %DVIPSParameters: dpi=400, compressed, comments removed %DVIPSSource: TeX output 1996.01.29:1220 /TeXDict 250 dict def TeXDict begin /N{def}def /B{bind def}N

  • 6 Pages lab4
    Lab4

    School: Texas A&M

    %!PS (but not EPSF; comments have been disabled) %DVIPSCommandLine: dvips -Psp1 -o lab4.dvi %DVIPSParameters: dpi=400, compressed, comments removed %DVIPSSource: TeX output 1996.02.05:1424 /TeXDict 250 dict def TeXDict begin /N{def}def /B{bind def}N

  • 7 Pages lab6
    Lab6

    School: Texas A&M

    %!PS (but not EPSF; comments have been disabled) %DVIPSCommandLine: dvips -Psp1 -o lab6.dvi %DVIPSParameters: dpi=400, compressed, comments removed %DVIPSSource: TeX output 1996.03.04:1247 /TeXDict 250 dict def TeXDict begin /N{def}def /B{bind def}N

  • 6 Pages Chapter7and8_Review
    Chapter7and8_Review

    School: Texas A&M

    Part A: 1. When trying to hire managers and executives, companies sometimes verify the academic credentials described by the applicants. One company that performs these checks summarized its findings for a six-month period. Of the 84 applicants whose

  • 5 Pages Test1_Sp04_Answer
    Test1_Sp04_Answer

    School: Texas A&M

    1. (b)The following is a stem and leaf plot of the average highway mileage for 10 different types of two-seater cars. MPG Stem-and-Leaf Plot Frequency 1.00 2.00 5.00 1.00 1.00 Stem & Leaf 0. 1. 2. 3. 4. 9 38 13477 5 1 How many outliers are in this d

  • 48 Pages Chapter3
    Chapter3

    School: Texas A&M

    Chapter 3: Producing Data 1 1. Inferential Statistics Population : The population is the group of people or things that we're interested in. This group is defined by whatever question is being asked. Example 1: Do Texas A&M students have breakfas

  • 2 Pages HW1
    HW1

    School: Texas A&M

    Stat303: Statistical Methods Homework 1 (07/08/2009) Instructor: Anh Dao USE 2 DECIMAL PLACES for your answers. Problem 1 Range = max min Problem 3 Using the y-axis as a guide, we can nd out that: Percents Percents Percents Percents (length (length (lengt

  • 3 Pages HW2
    HW2

    School: Texas A&M

    Stat303: Statistical Methods Homework 1 (07/08/2009) Instructor: Anh Dao USE 2 DECIMAL PLACES for your answers. Problem 1 (a) The number goes to the left blank box would be x 2s. The number goes to the right blank box would be x + 2s Suppose, would the qu

  • 2 Pages HW3
    HW3

    School: Texas A&M

    Stat303: Statistical Methods Homework 3 (07/14/2009) Instructor: Anh Dao Problem 1 Look at the Bias and Variability chart at the end of section 3.3. Then look for the histogram which match with the give conditions for bias and variability. Problem 2 (a) I

  • 4 Pages HW4
    HW4

    School: Texas A&M

    Stat303: Statistical Methods Homework 4 (07/16/2009) Instructor: Anh Dao Problem 1 You are asked to nd the probabilities of those events. (a) Suppose the event is Z < 2.01. Then the proportion of observations from a from a standard normal distribution can

  • 2 Pages HW5
    HW5

    School: Texas A&M

    Stat303: Statistical Methods Homework 5 (07/18/2009) Instructor: Anh Dao Problem 1 (a) caught = ncaught (b) Let n = 29 and if probability of errors caught is 0.70 then probability of errors missed= 1 0.70 = 0.3. Thus missed = n (1 caught ) = 29 (1 0.7) =

  • 5 Pages pexamII
    PexamII

    School: Texas A&M

    PRACTICE EXAM-2 1.) Researchers in the school of education have come up with a new method of presenting Algebra I material to students. To test whether it is better than the old method, students in A&M Consolidated are randomly assigned to algebra classes

  • 12 Pages PracticeExam4
    PracticeExam4

    School: Texas A&M

    Stat 303: Section 204 Practice Exam-4 Instructor: Priya Kohli Use the following for the next two questions. The weight efficiency of vehicles was the subject of a recent study; when weight was measured in pounds and used to predict fuel efficiency measure

  • 8 Pages PracticeFinal
    PracticeFinal

    School: Texas A&M

    Name_ STAT 303-101 Final July 2, 2009 1. Sign your name on this page first. 2. There are 25 multiple-choice questions, each worth 5 points. There are no partial credits. So make sure that you mark the answer that is most correct. Multiple answers will be

  • 7 Pages ReviewI
    ReviewI

    School: Texas A&M

    Stat303: Statistical Methods Review for Exam I (07/14/2009) Instructor: Anh Dao 1. Boxplots are the best numeric graphs that we have discussed for (A) determining if there are outliers (B) comparing distributions (C) nding the mean (D) All of the above ar

  • 19 Pages ReviewIII
    ReviewIII

    School: Texas A&M

    STAT 303-202 SAMPLE EXAM-III SUMMER II 2009 Name:_ UIN: _ Instructions 1. Please do not open the exam sheet until told to do so. 2. Fill out your name, section, form and UIN. 3. Sign on the Scranton where it says SIGNATURE. By doing this you are agreeing

  • 4 Pages exam2
    Exam2

    School: Texas A&M

    Course: Statistical Methods

    1) For a given value x of a normally distributed value X, which of the following is true of the standardized value z? A) z can be calculated without knowing the mean and standard deviation of X. B) P(Z < z) = P(X < z) C) z measures the distance in standar

  • 4 Pages exam2Key
    Exam2Key

    School: Texas A&M

    Course: Statistical Methods

    1) For a given value x of a normally distributed value X, which of the following is true of the standardized value z? A) z can be calculated without knowing the mean and standard deviation of X. B) P(Z < z) = P(X < z) C) z measures the distance in standar

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