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Practice_FinalExam
School: Texas A&M
Use the following to answer questions 15: 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

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

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

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

CHAPTER 12
School: Texas A&M
Chapter 12 OneWay Analysis of Variance Introduction to the Practice of STATISTICS SEVENTH EDITION Moore / McCabe / Craig Lecture Presentation Slides 12.1 Inference for OneWay Analysis of Variance The Idea of ANOVA Comparing Several Means The Problem

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

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

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

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

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

Linreg_ans
School: Texas A&M
STAT303 Sec 507510 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

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 multiplechoice questions on this exam, each worth 5 points. Th

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

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

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

Anovainfo
School: Texas A&M
ANALYSIS OF VARIANCE OneWay 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

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

Q2
School: Texas A&M
Course: Statistical Methods
Stat303501 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

Q3
School: Texas A&M
Course: Statistical Methods
Stat303501 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

Q6
School: Texas A&M
Course: Statistical Methods
Stat303501 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

Q7
School: Texas A&M
Course: Statistical Methods
Stat303501 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

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:

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 multiplechoice questions on this exam, each worth 5 points, and 5 True/False, each worth 2 points. There

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 ? FStat ? A. # of means = 6, SST = 33.963, = 2.958 B. # of means = 6, SST = 33.96

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

Prac3sp13_ans
School: Texas A&M
STAT303 Sec 508510 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

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, email: julie@stat.tamu.edu Oce Hours: T 24, W 23. For apptsplease email me and give me at least 24 hours. Stat Dept. Oc

7
School: Texas A&M
7.2 Comparing Two Means TwoSample Problems The TwoSample t Procedures Pooled TwoSample t Procedures 1 TwoSample Problems What if we want to compare the mean of some quantitative variable for the individuals in two populations, Population 1 and Popu

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

Categorical_data
School: Texas A&M
Probabilities of a TwoWay 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

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

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,

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 multiplechoice questions on this exam, each worth 5 points. There is partial credit. Ple

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 multiplechoice questions on this exam, each worth 5 points. There is partial credit. Please mark your answe

Ex1asp07
School: Texas A&M
STAT303 Sec 508510 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 multiplechoice questions on this exam, each worth 5

Ex1asp08
School: Texas A&M
STAT303 Sec 508510 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 multiplechoice questions on this exam, each

Ex1asp09
School: Texas A&M
Stat 303508510 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

Ex1asp10
School: Texas A&M
STAT303 Sec 508510 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 multiplechoice questions on this exam, each worth 5 points. There is partial credit. Please mark your

Ex1asp11
School: Texas A&M
STAT303 Sec 508510 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 multiplechoice questions on this exam, each worth 5 points. There is partial credit. Please mark your

Ex1asp12
School: Texas A&M
STAT303 Secs 507510 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 multiplechoice questions on this exam, each worth the same amount. Please mark your answers

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 multiplechoice questions on this exam, each worth the same amount. Please mark your answers

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

Ex1af12
School: Texas A&M
STAT303 Sec 507510 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 multiplechoice questions on this exam, each worth 5 points. There is partial credit. Please mark your a

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 multiplechoice questions on this exam, each worth the same.

Ex1af10
School: Texas A&M
STAT303 Sec 508510 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 multiplechoice questions on this exam, each wo

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

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

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

Ex1a8f06
School: Texas A&M
STAT303: Secs 508510 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

Ex1a508
School: Texas A&M
STAT303 Sec 508510 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 multiplechoice questions on this exam, each worth 5 points

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

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 multiplechoice questions on this exam, each worth 5 points. There is partial credit. Pleas

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 multiplechoice questions on this exam, each worth 5 points. There is partial credit. Pleas

Ex1af05
School: Texas A&M
STAT303: Sec 508510 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

Ex1af07
School: Texas A&M
STAT303 Sec 508510 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 multiplechoice questions on this exam, each wo

Ex1af08
School: Texas A&M
Stat 303508510 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

Ex1af09
School: Texas A&M
STAT303 Sec 508510 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 multiplechoice questions on this exam, each wo

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

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 bellshaped, the mean, x = 14 and the standard deviation, s = 6. Which of the following statements would be true about our data? A.) The me

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Completed HW 1
School: Texas A&M
Lab # _ Section: 303510 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

Hw 2 Completed
School: Texas A&M
Lab # _ Section: 303510 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

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

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

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.

Julie08sp2
School: Texas A&M
STAT303 Sec 508510 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 multiplechoice questions on this exam, each worth 5 points. There is partial credit. Please mar

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 

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

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

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

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

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 sixmonth period. Of the 84 applicants whose

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 twoseater cars. MPG StemandLeaf 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

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

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 yaxis as a guide, we can nd out that: Percents Percents Percents Percents (length (length (lengt

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

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

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

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) =

PexamII
School: Texas A&M
PRACTICE EXAM2 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

PracticeExam4
School: Texas A&M
Stat 303: Section 204 Practice Exam4 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

PracticeFinal
School: Texas A&M
Name_ STAT 303101 Final July 2, 2009 1. Sign your name on this page first. 2. There are 25 multiplechoice 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

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

ReviewIII
School: Texas A&M
STAT 303202 SAMPLE EXAMIII 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

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

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