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Texas A&M | STAT 303
STATISTICAL METHODS
Professors
- Willa W. Chen,
- Carroll,
- Rister,
- Trijya,
- Zhan,
- Sun,
- Singh,
- Martin,
- Paul Martin,
- Dao,
- Maadooliat
100 sample documents related to STAT 303
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Texas A&M STAT 303
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 -
Texas A&M STAT 303
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 -
Texas A&M STAT 303
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 measured in miles per gallon, the linear regression equation was foun -
Texas A&M STAT 303
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 -
Texas A&M STAT 303
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 -
Texas A&M STAT 303
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 -
Texas A&M STAT 303
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 -
Texas A&M STAT 303
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 -
Texas A&M STAT 303
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 -
Texas A&M STAT 303
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: -
Texas A&M STAT 303
Exam 1 - STAT 303 Session 202 Summer II 2009 Name: UIN: Signature: 1. Do not open this test until told to do so. 2. Turn in your exam with your answers circled when you are done with the exam. You should submit your exam, scantron, and prepared sheet. Fai -
Texas A&M STAT 303
Exam 2 - STAT 303 Session 202 Summer II 2009 Name: UIN: Signature: 1. Do not open this test until told to do so. 2. Turn in your exam with your answers circled when you are done with the exam. You should submit your exam, scantron, and prepared sheet. Fai -
Texas A&M STAT 303
Exam 3 - STAT 303 Session 202 Summer II 2009 Name: UIN: Signature: 1. Do not open this test until told to do so. 2. Turn in your exam with your answers circled when you are done with the exam. You should submit your exam and your seat number together sc -
Texas A&M STAT 303
Exam 4 - STAT 303 Session 202 Summer II 2009 Name: UIN: Signature: 1. Do not open this test until told to do so. 2. Turn in your exam with your answers circled when you are done with the exam. You should submit your exam scantron 3. Talking with other s -
Texas A&M STAT 303
Final - STAT 303 Session 202 Summer II 2009 Name: UIN: Signature: 1. Do not open this test until told to do so. 2. Turn in your exam with your answers circled when you are done with the exam. You should submit your exam scantron 3. Talking with other st -
Texas A&M STAT 303
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 -
Texas A&M STAT 303
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 -
Texas A&M STAT 303
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 -
Texas A&M STAT 303
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 -
Texas A&M STAT 303
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) = -
Texas A&M STAT 303
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 -
Texas A&M STAT 303
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 -
Texas A&M STAT 303
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 -
Texas A&M STAT 303
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 -
Texas A&M STAT 303
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 -
Texas A&M STAT 303
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 -
Texas A&M STAT 303
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 -
Texas A&M STAT 303
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 -
Texas A&M STAT 303
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 -
Texas A&M STAT 303
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 -
Texas A&M STAT 303
Stat 303: Section 502 Fall 2006 Exam 1 Form A Instructor: Kristin Lennox Instructions: 1.) Dont open the exam until I tell you to. (Meanwhile, read the rest of the instructions.) 2.) Write your name on this exam sheet. Mark your name, UIN, course and -
Texas A&M STAT 303
Stat 303: Section 501 Fall 2006 Form A Instructor: Kristin Lennox Instructions: 1.) Dont open the exam until I tell you. (Meanwhile, read the rest of the instructions.) 2.) Write your name on this exam sheet. Mark your name, UIN, course and section n -
Texas A&M STAT 303
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 -
Texas A&M STAT 303
Quiz 1 STAT 303-506 Photo # Major Name What name you prefer? Are you graduating this year?(yes/no) 1. Describe something unique about yourself (to help me get to know you). 2. What are your expectations/goals for this course (i.e. what would you li -
Texas A&M STAT 303
Syllabus Statistics 303 Section 203, Summer 2008 MWF 12:00 - 1:35pm BLOC 150, TR 12:00 - 1:35pm BLOC 161 Instructor: Vincent LeMoine, e-mail: vlemoine@stat.tamu.edu Office Hours: Yet to be announced, Office: 405-E Stat Dept. Office: Blocker 447, 8-5p -
Texas A&M STAT 303
STAT303 Practice Questions Sp 06 jhc D. The assumption of linearity has been violated. E. All of the assumptions for simple linear regression are valid. Source | SS df MS -+-Model | 47.5154184 1 47.5154184 Residual | 8.0485833 8 1.00607291 -+-Total -
Texas A&M STAT 303
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. -
Texas A&M STAT 303
STATISTICS 303 Statistical Methods Fall 2005 Getting Started There are two websites associated with Statistics 303. One is a general information website and is open to the public. The other is closed to the public and has more detailed information ab -
Texas A&M STAT 303
Chapter 3: Producing Data Two types of statistical studies: 1) Observational study: Records information about subjects without applying any treatment to subjects (passive participation of researcher). Ex: Opinion polls, market studies, surveys, etc. -
Texas A&M STAT 303
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 -
Texas A&M STAT 303
* Analysis of Variance (ANOVA) : The reason we use ANOVA is that we have more than 2 populations, and we are interested in comparing population means. Two-sample t-test or pooled t-test is to compare only two independent population means. As I told y -
Texas A&M STAT 303
Statistics 303 Chapter4and1.3 Probability Probability The probability of an outcome is the proportion of times the outcome would occur if we repeated the procedure many times. Examples Coin: What is the probability of obtaining heads when flip -
Texas A&M STAT 303
Statistics 303 Chapter6 InferenceforaMean Confidence Intervals In statistics, when we cannot get information from the entire population, we take a sample. However, as we have seen before statistics calculated from samples vary from sample to sampl -
Texas A&M STAT 303
Ch 2 and 9.1 Relationships Between 2 Variables More than one variable can be measured on each individual. Examples: Gender and Height Size and Cost Eye color and Major We want to look at the relationship among these variables. Is there an ass -
Texas A&M STAT 303
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 - -
Texas A&M STAT 303
Name:SOLUTION STAT303506 Quiz#6 1. Ifwehavecategoricaldata,wecanstillusethenormaldistributiontoestimate percentagesandpercentilesofthesampleproportion,pn,aslongasnAND n(1) 10,i.e.,pnisapproximately~N(,(1)/n).Iftocloseto0or1,or ifoursampleisntlargeen -
Texas A&M STAT 303
Study Tips * Study tips presented by the College of Education for students studying math and sciences. 1. Find a study buddy that is in your class. Even if neither of you are particularly good at math, it is beneficial to have to think of how to exp -
Texas A&M STAT 303
Concepts Trial outcome event, sample space Independence Random variable Def: a variable whose value is a numerical outcome of a random phenomenon. Type: discrete R.V and continuous R.V. Display: distribution sequence and density curve P( X ) * X De -
Texas A&M STAT 303
One popular measure of strength is the maximum number of pounds a person can bench press. Unfortunately, it is a bit dangerous for an inexperienced athlete unfamiliar with proper bench press techniques to \"max out\". To try to predict y = the maximum -
Texas A&M STAT 303
Statistics 303 Chapter 5 Sampling Distributions Sampling Distributions Until now, we have only talked about population distributions. Example: Suppose the proportion of those who agree with a particular UN policy is 0.53. Suppose we randomly sam -
Texas A&M STAT 303
2 Test of Independence Hypotheses: Ho: the row and column variables are independent. HA: the row and column variables are related Chi-Squared test Statistic: X2 = (Ei - Oi)2/Ei where Eij = n(ci/n)(rj/n) = cirj/n Assumptions: Each expected count mu -
Texas A&M STAT 303
1) H0: =15 H0: 1- 2 0 H0: 1 = 2 The others either are HA, do not include the equals sign, or involve the statistics (xbar, p-hat) and not the parameters (mu and pi) 2) A) n = 100; = .01 While a large sample size is good, the Type I error rate is -
Texas A&M STAT 303
Sampling distribution Interpretation of sampling distribution Example: Sample count of success X binomial, mean and variance? HW5 prob.1 Sample proportion p=X/n approximately normal, symbol and condition Sample mean x approximately normal, symbol -
Texas A&M STAT 303
Lab 6 Open Excel where we will generate normal data. 1. Go to ToolsData AnalysisRandom Number Generator. Type 20 for Number of Variables, 25 for Number of Random Numbers, Normal for Distribution, 30 for Mean, 5 for Standard Deviation, some `random\' f -
Texas A&M STAT 303
Ch 2 and 9.1 Relationships Between 2 Variables More than one variable can be measured on each individual. Examples: Gender and Height Size and Cost Eye color and Major We want to look at the relationship among these variables. Is there an ass -
Texas A&M STAT 303
(#1 6 points) (0.412)*75000 + (0.254)*82000 + (0.333)42500 + (0.001)*115 = 65880.615 (#2 9 points) You cannot use the normal distribution to answer this question because n*=.36 < 10 And because the normal distribution is only used for areas (like the -
Texas A&M STAT 303
Exam 1 - Feb. 20th Exam 1 will cover Chapters 1-3 There will be 10 multiple choice questions and 9 work out problems. Please show all your work on the work out problems. Total number of points will be 100. I will indicate how many points each pro -
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Texas A&M STAT 303
Points:_(out of 10) 1. (4 points) Consider the following data set: 12, 18, 10, 9, 19, 8 Hint: the observations are not ordered! First, order the observations: 8, 9, 10, 12, 18, 19 Find (each correct answer worths 1 point): (a) Q1 = 9 (c) Q3 = 18 Note -
Texas A&M STAT 303
Stat 303, Section 503 01/30/2009 Student\'s name_KEY_ QUIZ 1 1. There are 5 problems, each problem worth 2 points. 2. You will have 10 minutes for this quiz. 3. Please do it yourself, no discussion is allowed. 4. Feel free to use your notes. 5. Good -
Texas A&M STAT 303
Syllabus Statistics 303 Section 503, Spring 2009 Monday and Friday 10:20 - 11:10am. in CHEN 112, Wednesday 10:20 - 11:10am. in BLOC 162 Instructor: Olga Y. Savchuk, BLOC 406B, e-mail: savchuk@stat.tamu.edu Oce Hours: Monday, Wednesday, and Friday 11: -
Texas A&M STAT 303
3. Rejecting H0 : 1 = 0 in the regression inference procedure says A. the xs are not useful in predicting the ys. B. the slope of the regression line is large (i.e., a big number). C. the probability of making a Type II error is NOT 0. D. Exactly two -
Texas A&M STAT 303
STOP! DO NOT LOOK AT THE ANSWERS UNTIL YOU HAVE AT LEAST ATTEMPTED THE ACTUAL PROBLEMS! It\'s like buying a treadmill and using it as a shelf for your junk food. (5 minutes) Notice n*(1-p)=18, so we can use the z-score For 90% confidence Z-score is 1. -
Texas A&M STAT 303
Statistics 303 Test 3 NAME: _ Do not turn the page until the test begins. You have 60 minutes Even though this is not a math test, you will need to be able to compute statistics. If you do not have a calculator raise your hand and one will be provide -
Texas A&M STAT 303
1. Which of the following is true according to the Central Limit Theorem? a. If the population distribution is normal, the sample size must be large for the distribution of the sample means to be normal. b. If the population distribution is skewed, t -
Texas A&M STAT 303
1. Two brands of cornflakes both print on the box that they weigh 12 oz. However, you believe that, on average, Brand A weighs more than Brand B. What is the alternative hypothesis that you are testing? a. 12 b. pA > pB c. x A > x B d. e. ^ ^ p A -
Texas A&M STAT 303
1. (d)In an experiment designed to study the effects of illumination level on task performance 15 subjects were required to insert a fine tipped probe into the eyeholes of 10 needles in rapid succession both for a low light level and for a high light -
Texas A&M STAT 303
Based on past experience, an architect has determined the probability mass function for the number of times a drawing must be examined by a client before it is accepted. Let the random variable X = the number of times a drawing must be examined by a -
Texas A&M STAT 303
Statistics 303-506 Exam II Form A March 27, 2009 Instructor: Paul Martin 1. Do not open the exam until instructed to do so. 2. Do not forget to put your name on the exam. 3. You will have 60 minutes to finish this exam. 4. There will be partial cred -
Texas A&M STAT 303
Syllabus Statistics 303 Sections 103, Summer I 2008 MWF: 121:35, BLOC 150,TR: 121:35 BLOC 161 Instructor: Xiaolei Xun, BLOC 422, e-mail: xxun@stat.tamu.edu Office Hours: Tuesday 1:45-3:15pm and Thursday 1:45-3:15pm. Stat Dept. Office: Blocker 447, 8- -
Texas A&M STAT 303
Statistics 303 Chapter2and9.1 TwoVariableDescriptives Relationships Between 2 Variables More than one variable can be measured on each individual. Examples: Gender and Height Size and Cost Eye color and Major We want to look at the relationsh -
Texas A&M STAT 303
Statistics 303 Chapter 1 One Variable Descriptives 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. Examp -
Texas A&M STAT 303
1(e)Which of the following is true according to the Central Limit Theorem? a. If the population distribution is normal, the sample size must be large for the distribution of the sample means to be normal. b. If the population distribution is skewed, -
Texas A&M STAT 303
Week 4: Additional Material STAT 303 CD Course Mean and Standard Deviation The formulas we have been using for the mean and standard deviation assume that all outcomes are equally likely. How do we calculate mean and standard deviation when co -
Texas A&M STAT 303
What is Statistics? Statistics is the science of collecting, organizing, and interpreting numerical facts, which we call data. The goal of statistics is to gain understanding from this data. Statistics is divided into three areas: descriptive statist -
Texas A&M STAT 303
STATI STI CS-303 I NTRODUCTI ON What is Statistics? Science of Dat a Collect ion, Pr esent at ion/Classificat ion and I nt er pr et at ion/Explanat ion of dat a When do you come acr oss statistics? Polls, Magazines, Polit ics, spor t s et c. Examp -
Texas A&M STAT 303
Chapter 6.1: Confidence Intervals for a Mean 1 1. Confidence Interval In statistics, when we cannot get information from the entire population, we take a sample. Although the sample behaves similarly to the population, it doesnt match it exactly. -
Texas A&M STAT 303
Statistics 303 Test 2 NAME: _ Even though this is not a math test, you will need to be Able to calculate Z-scores, and confidence intervals. If you do not have a calculator raise your hand and one Will be provided as soon as possible. Do not leave yo -
Texas A&M STAT 303
Open the airfare data from my website. 1. First we want to see if distance of flights can be used to predict airfare. What type of analysis do we use? Go to analyze -> regression -> linear. Move lfare (ln(fare) into the dependent box and ldistance i -
Texas A&M STAT 303
%!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 -
Texas A&M STAT 303
%!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 -
Texas A&M STAT 303
%!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 -
Texas A&M STAT 303
%!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 -
Texas A&M STAT 303
%!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 -
Texas A&M STAT 303
%!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 -
Texas A&M STAT 303
%!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 -
Texas A&M STAT 303
%!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 -
Texas A&M STAT 303
Chapter 3: Producing Data Inferential Statistics Sampling Designing Experiments Inferential Statistics We start with a question about a group or groups. The group(s) we are interested in is(are) called the population(s). Examples What is the -
Texas A&M STAT 303
Name: SOLUTION STAT 303506 Quiz #9 Due: April 8, 2009 1. Describe when you would use a ttest instead of a ztest? SOLUTION: You would use a ztest if the population standard deviation is known. On the other hand, you would use a ttest if the populatio -
Texas A&M STAT 303
Bivariate Data - Ch 2 (x1, y1), (x2, y2), . . . (xn, yn) => n subjects with 2 observations per subject, (xi, yi), both x,and yi are quantitative variables. Summaries for bivarite data: scatterplot: xy graph regression equation: yi = b0 + b1xi r -
Texas A&M STAT 303
Syllabus Statistics 303 Section 105, Summer I 2008 MTR 2:00pm-3:35pm CHEN102; WF 2:00pm-3:35pm BLOC161 Instructor: Ying Sun, BLOC 406F, e-mail: sunwards@stat.tamu.edu Any email that I receive before 7 pm M-F, I will answer before the end of the day. -
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Texas A&M STAT 303
1. (5 points) Part 1: Multiple choice questions Variable \"number of people in household\" is: (mark one answer) A. Categorical B. Numeric, discrete C. Numeric, continuous 2. (5 points) Consider the data 3, 3, 3, 3, 3, 3, 3, 3, 3, 3 The standard dev -
Texas A&M STAT 303
Stat 303-503 03/06/2009 Your score: KEY Problem 1 (4 points total) Suppose it is known that 64% of people in Spain have brown eyes. Simple random sample of 25 Spanish people was taken. It appeared that 15 persons in selected sample had brown eyes. ( -
Texas A&M STAT 303
Lab 6A Open Excel where we will generate normal data. 1. Go to ToolsData AnalysisRandom Number Generator. Type 20 for Number of Variables, 25 for Number of Random Numbers, Normal for Distribution, 30 for Mean, 5 for Standard Deviation, some `random\' -
Texas A&M STAT 303
1. The hypotheses H0: = 10 versus Ha: 10 are examined using a sample of size18. The one-sample t statistic has the value t = 2.05. Between what two values does the P-value of this test fall? A. 0.01 < P-value < 0.025 B. 0.02 < P-value < 0.05 C. 0. -
Texas A&M STAT 303
Probabilities of a Two-Way Table Grades A B C D Totals Males r1c1 r2c1 r3c1 r4c1 C1 Females r1c2 r2c2 r3c2 r4c2 C2 Totals R1 R2 R3 R4 Grand Total cell count row total column total Sum of all the data Joint Probabilities: the cell counts divided -
Texas A&M STAT 303
Statistics 303 Chapter 10 Least Squares Regression Analysis 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 Gallon -
Texas A&M STAT 303
Statistics 303 Chapter 9 TwoWay Tables Relationships Between Two Categorical Variables Relationships between two categorical variables Depending on the situation, one of the variables is the explanatory variable and the other is the response varia -
Texas A&M STAT 303
Statistics 303 Chapter12 ANalysisOfVAriance ANOVA: Comparing Several Means The statistical methodology for comparing several means is called analysis of variance, or ANOVA. In this case one variable is categorical. This variable forms the groups
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