200 300 400 500 100 200 300 400 100 200 300 400 500 100 200 300 400 500 100 200 300 400 500 100 Univariate Data Probability Experiments & SamplingInference“Random”

Slides:



Advertisements
Similar presentations
Which Test? Which Test? Explorin g Data Explorin g Data Planning a Study Planning a Study Anticipat.
Advertisements

Review Feb Adapted from: Taylor, S. (2009). Statistical Analysis. Taken from:
Decision Errors and Power
Comparing Two Population Means The Two-Sample T-Test and T-Interval.
DATA ANALYSIS I MKT525. Plan of analysis What decision must be made? What are research objectives? What do you have to know to reach those objectives?
Topic 2: Statistical Concepts and Market Returns
8 - 10: Intro to Statistical Inference
Independent Sample T-test Often used with experimental designs N subjects are randomly assigned to two groups (Control * Treatment). After treatment, the.
Slide Copyright © 2009 Pearson Education, Inc. Active Learning Lecture Slides For use with Classroom Response Systems Intro Stats Third Edition.
Chapter 11: Inference for Distributions
Chapter 9 Hypothesis Testing.
Copyright ©2006 Brooks/Cole, a division of Thomson Learning, Inc. More About Regression Chapter 14.
Active Learning Lecture Slides
AP Stats Test Review  What are the four parts of the course? Inference, Experimental Design, Probability, and Data Analysis  How many multiple choice.
Hypothesis Testing – Examples and Case Studies
Graphs Experiments and Studies Sampling and Surveys Center and Spread Normal Distributions.
© 2013 Cengage Learning. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part.
Statistics PSY302 Quiz Chapters 16 & Alpha α is also known as: A.The null hypopthesis B.Chi Square C.The significance level D.The Analysis of Variance.
Understanding Multivariate Research Berry & Sanders.
Copyright © 2013, 2010 and 2007 Pearson Education, Inc. Chapter Inference on the Least-Squares Regression Model and Multiple Regression 14.
The paired sample experiment The paired t test. Frequently one is interested in comparing the effects of two treatments (drugs, etc…) on a response variable.
Statistics & Biology Shelly’s Super Happy Fun Times February 7, 2012 Will Herrick.
Topics: Statistics & Experimental Design The Human Visual System Color Science Light Sources: Radiometry/Photometry Geometric Optics Tone-transfer Function.
Education Research 250:205 Writing Chapter 3. Objectives Subjects Instrumentation Procedures Experimental Design Statistical Analysis  Displaying data.
The Practice of Statistics, 5th Edition Starnes, Tabor, Yates, Moore Bedford Freeman Worth Publishers CHAPTER 10 Comparing Two Populations or Groups 10.2.
Agresti/Franklin Statistics, 1 of 122 Chapter 8 Statistical inference: Significance Tests About Hypotheses Learn …. To use an inferential method called.
AP Stat Review Descriptive Statistics Grab Bag Probability
 In Chapter 10 we tested a parameter from a population represented by a sample against a known population ( ).  In chapter 11 we will test a parameter.
Copyright © 2013, 2009, and 2007, Pearson Education, Inc. Chapter 13 Multiple Regression Section 13.3 Using Multiple Regression to Make Inferences.
Essential Statistics Chapter 141 Thinking about Inference.
Copyright ©2011 Brooks/Cole, Cengage Learning Inference about Simple Regression Chapter 14 1.
Descriptive & Inferential Statistics Adopted from ;Merryellen Towey Schulz, Ph.D. College of Saint Mary EDU 496.
Introduction to Inference: Confidence Intervals and Hypothesis Testing Presentation 8 First Part.
Week111 The t distribution Suppose that a SRS of size n is drawn from a N(μ, σ) population. Then the one sample t statistic has a t distribution with n.
Ex St 801 Statistical Methods Inference about a Single Population Mean.
Review Lecture 51 Tue, Dec 13, Chapter 1 Sections 1.1 – 1.4. Sections 1.1 – 1.4. Be familiar with the language and principles of hypothesis testing.
Week121 Robustness of the two-sample procedures The two sample t-procedures are more robust against nonnormality than one-sample t-procedures. When the.
Chapter 14: Inference for Regression. A brief review of chapter 4... (Regression Analysis: Exploring Association BetweenVariables )  Bi-variate data.
T tests comparing two means t tests comparing two means.
Confidence Intervals and Hypothesis Testing Using and.
Statistical Inference Drawing conclusions (“to infer”) about a population based upon data from a sample. Drawing conclusions (“to infer”) about a population.
AP Statistics Chapter 11 Notes. Significance Test & Hypothesis Significance test: a formal procedure for comparing observed data with a hypothesis whose.
Statistics Nik Bobrovitz BHSc, MSc PhD Student University of Oxford December 2015
1 Probability and Statistics Confidence Intervals.
Learning Objectives After this section, you should be able to: The Practice of Statistics, 5 th Edition1 DESCRIBE the shape, center, and spread of the.
Marginal Distribution Conditional Distribution. Side by Side Bar Graph Segmented Bar Graph Dotplot Stemplot Histogram.
Statistical Decision Making. Almost all problems in statistics can be formulated as a problem of making a decision. That is given some data observed from.
STA248 week 121 Bootstrap Test for Pairs of Means of a Non-Normal Population – small samples Suppose X 1, …, X n are iid from some distribution independent.
Anticipating Patterns Statistical Inference
CHAPTER 10 Comparing Two Populations or Groups
Statistical Quality Control, 7th Edition by Douglas C. Montgomery.
CHAPTER 10 Comparing Two Populations or Groups
AP STATISTICS REVIEW INFERENCE
Comparing Populations
CHAPTER 10 Comparing Two Populations or Groups
CHAPTER 10 Comparing Two Populations or Groups
CHAPTER 12 More About Regression
CHAPTER 10 Comparing Two Populations or Groups
CHAPTER 10 Comparing Two Populations or Groups
CHAPTER 10 Comparing Two Populations or Groups
CHAPTER 10 Comparing Two Populations or Groups
CHAPTER 10 Comparing Two Populations or Groups
CHAPTER 10 Comparing Two Populations or Groups
CHAPTER 10 Comparing Two Populations or Groups
CHAPTER 10 Comparing Two Populations or Groups
CHAPTER 10 Comparing Two Populations or Groups
CHAPTER 10 Comparing Two Populations or Groups
Introductory Statistics
Presentation transcript:

Univariate Data Probability Experiments & SamplingInference“Random”

Univariate Data 100 Points 2:001:59 1:58 1:57 1:561:551:541:531:521:511:501:49 1:481:47 1:461:451:441:431:421:411:401:391:381:371:361:35 1:34 1:331:32 1:31 1:301:291:281:27 1:261:25 1:24 1:231:22 1:21 1:20 1:191:18 1:17 1:161:151:141:131:121:11 1:10 1:091:08 1:07 1:06 1:05 1:041:031:021:01 1:000:59 0:58 0:57 0:560:55 0:54 0:53 0:520:51 0:50 0:490:48 0:47 0:46 0:450:44 0:430:42 0:410:400:390:380:37 0:36 0:35 0:34 0:33 0:32 0:310:30 0:290:280:270:260:25 0:24 0:230:22 0:210:200:190:18 0:17 0:16 0:150:14 0:13 0:12 0:11 0:10 0:090:08 0:07 0:06 0:050:040:030:020:01End A distribution that has a mean significantly greater than the median would most likely ____________________ A.Symmetric B.Skewed Right C.Skewed Left D.Bimodal E.Uniform

B

200 Points 2:001:59 1:58 1:57 1:561:551:541:531:521:511:501:49 1:481:47 1:461:451:441:431:421:411:401:391:381:371:361:35 1:34 1:331:32 1:31 1:301:291:281:27 1:261:25 1:24 1:231:22 1:21 1:20 1:191:18 1:17 1:161:151:141:131:121:11 1:10 1:091:08 1:07 1:06 1:05 1:041:031:021:01 1:000:59 0:58 0:57 0:560:55 0:54 0:53 0:520:51 0:50 0:490:48 0:47 0:46 0:450:44 0:430:42 0:410:400:390:380:37 0:36 0:35 0:34 0:33 0:32 0:310:30 0:290:280:270:260:25 0:24 0:230:22 0:210:200:190:18 0:17 0:16 0:150:14 0:13 0:12 0:11 0:10 0:090:08 0:07 0:06 0:050:040:030:020:01End Univariate Data A.Standard Deviation B.Variance C.Mean D.Median E.Range Which of the following is most resistant to outliers?

D

300 Points 2:001:59 1:58 1:57 1:561:551:541:531:521:511:501:49 1:481:47 1:461:451:441:431:421:411:401:391:381:371:361:35 1:34 1:331:32 1:31 1:301:291:281:27 1:261:25 1:24 1:231:22 1:21 1:20 1:191:18 1:17 1:161:151:141:131:121:11 1:10 1:091:08 1:07 1:06 1:05 1:041:031:021:01 1:000:59 0:58 0:57 0:560:55 0:54 0:53 0:520:51 0:50 0:490:48 0:47 0:46 0:450:44 0:430:42 0:410:400:390:380:37 0:36 0:35 0:34 0:33 0:32 0:310:30 0:290:280:270:260:25 0:24 0:230:22 0:210:200:190:18 0:17 0:16 0:150:14 0:13 0:12 0:11 0:10 0:090:08 0:07 0:06 0:050:040:030:020:01End Univariate Data Wieland tells you that your quiz grade was the 90 th percentile. If the mean and standard deviation were 77 and 8 respectively, what was your grade? A.87 B.90 C.92 D.94 E.97

A

400 Points 2:001:59 1:58 1:57 1:561:551:541:531:521:511:501:49 1:481:47 1:461:451:441:431:421:411:401:391:381:371:361:35 1:34 1:331:32 1:31 1:301:291:281:27 1:261:25 1:24 1:231:22 1:21 1:20 1:191:18 1:17 1:161:151:141:131:121:11 1:10 1:091:08 1:07 1:06 1:05 1:041:031:021:01 1:000:59 0:58 0:57 0:560:55 0:54 0:53 0:520:51 0:50 0:490:48 0:47 0:46 0:450:44 0:430:42 0:410:400:390:380:37 0:36 0:35 0:34 0:33 0:32 0:310:30 0:290:280:270:260:25 0:24 0:230:22 0:210:200:190:18 0:17 0:16 0:150:14 0:13 0:12 0:11 0:10 0:090:08 0:07 0:06 0:050:040:030:020:01End Univariate Data Using the dataset, calculate the mean and standard deviation. {3, 8, 10, 3, 12, 10} A.(7.5, 3.5) B.(7.6, 3.5) C.(7.6, 12.3) D.(7.6, 4.0) E.(8.0, 4.0)

B

500 Points 2:001:59 1:58 1:57 1:561:551:541:531:521:511:501:49 1:481:47 1:461:451:441:431:421:411:401:391:381:371:361:35 1:34 1:331:32 1:31 1:301:291:281:27 1:261:25 1:24 1:231:22 1:21 1:20 1:191:18 1:17 1:161:151:141:131:121:11 1:10 1:091:08 1:07 1:06 1:05 1:041:031:021:01 1:000:59 0:58 0:57 0:560:55 0:54 0:53 0:520:51 0:50 0:490:48 0:47 0:46 0:450:44 0:430:42 0:410:400:390:380:37 0:36 0:35 0:34 0:33 0:32 0:310:30 0:290:280:270:260:25 0:24 0:230:22 0:210:200:190:18 0:17 0:16 0:150:14 0:13 0:12 0:11 0:10 0:090:08 0:07 0:06 0:050:040:030:020:01End Univariate Data Which of the statements is true about standard deviation? I.It depends on the mean II.It is a measure of spread III.It is not resistant to outliers A.I & II B.I & III C.II & III D.I, II, & III E.None

D

100 Points 2:001:59 1:58 1:57 1:561:551:541:531:521:511:501:49 1:481:47 1:461:451:441:431:421:411:401:391:381:371:361:35 1:34 1:331:32 1:31 1:301:291:281:27 1:261:25 1:24 1:231:22 1:21 1:20 1:191:18 1:17 1:161:151:141:131:121:11 1:10 1:091:08 1:07 1:06 1:05 1:041:031:021:01 1:000:59 0:58 0:57 0:560:55 0:54 0:53 0:520:51 0:50 0:490:48 0:47 0:46 0:450:44 0:430:42 0:410:400:390:380:37 0:36 0:35 0:34 0:33 0:32 0:310:30 0:290:280:270:260:25 0:24 0:230:22 0:210:200:190:18 0:17 0:16 0:150:14 0:13 0:12 0:11 0:10 0:090:08 0:07 0:06 0:050:040:030:020:01End Probability The probability of Jason serving an ace in tennis is 0.15, and the probability that he double faults is What is the probability that he doesn’t serve an ace or double fault? A.0.4 B.0.45 C.0.5 D.0.55 E.0.6

E

200 Points 2:001:59 1:58 1:57 1:561:551:541:531:521:511:501:49 1:481:47 1:461:451:441:431:421:411:401:391:381:371:361:35 1:34 1:331:32 1:31 1:301:291:281:27 1:261:25 1:24 1:231:22 1:21 1:20 1:191:18 1:17 1:161:151:141:131:121:11 1:10 1:091:08 1:07 1:06 1:05 1:041:031:021:01 1:000:59 0:58 0:57 0:560:55 0:54 0:53 0:520:51 0:50 0:490:48 0:47 0:46 0:450:44 0:430:42 0:410:400:390:380:37 0:36 0:35 0:34 0:33 0:32 0:310:30 0:290:280:270:260:25 0:24 0:230:22 0:210:200:190:18 0:17 0:16 0:150:14 0:13 0:12 0:11 0:10 0:090:08 0:07 0:06 0:050:040:030:020:01End Probability What is the probability that you and your friend choose the same number between 1 and 20 inclusive? A.0.5 B.0.05 C D E.Cannot be determined

B

300 Points 2:001:59 1:58 1:57 1:561:551:541:531:521:511:501:49 1:481:47 1:461:451:441:431:421:411:401:391:381:371:361:35 1:34 1:331:32 1:31 1:301:291:281:27 1:261:25 1:24 1:231:22 1:21 1:20 1:191:18 1:17 1:161:151:141:131:121:11 1:10 1:091:08 1:07 1:06 1:05 1:041:031:021:01 1:000:59 0:58 0:57 0:560:55 0:54 0:53 0:520:51 0:50 0:490:48 0:47 0:46 0:450:44 0:430:42 0:410:400:390:380:37 0:36 0:35 0:34 0:33 0:32 0:310:30 0:290:280:270:260:25 0:24 0:230:22 0:210:200:190:18 0:17 0:16 0:150:14 0:13 0:12 0:11 0:10 0:090:08 0:07 0:06 0:050:040:030:020:01End Probability The probability of randomly choosing someone who is left handed is 0.1. In a group of 15 people, what is the probability that 2 are left handed? A B C D E.0.816

A

400 Points 2:001:59 1:58 1:57 1:561:551:541:531:521:511:501:49 1:481:47 1:461:451:441:431:421:411:401:391:381:371:361:35 1:34 1:331:32 1:31 1:301:291:281:27 1:261:25 1:24 1:231:22 1:21 1:20 1:191:18 1:17 1:161:151:141:131:121:11 1:10 1:091:08 1:07 1:06 1:05 1:041:031:021:01 1:000:59 0:58 0:57 0:560:55 0:54 0:53 0:520:51 0:50 0:490:48 0:47 0:46 0:450:44 0:430:42 0:410:400:390:380:37 0:36 0:35 0:34 0:33 0:32 0:310:30 0:290:280:270:260:25 0:24 0:230:22 0:210:200:190:18 0:17 0:16 0:150:14 0:13 0:12 0:11 0:10 0:090:08 0:07 0:06 0:050:040:030:020:01End Bivariate Data The average height of a senior boy is 5’8” with a standard deviation of 3”. The average height of a senior girl is 5’4” with a standard deviation of 2”. When paired up for graduation, what is the probability that the girl is taller than the boy? A B C D E.0.212

C

500 Points 2:001:59 1:58 1:57 1:561:551:541:531:521:511:501:49 1:481:47 1:461:451:441:431:421:411:401:391:381:371:361:35 1:34 1:331:32 1:31 1:301:291:281:27 1:261:25 1:24 1:231:22 1:21 1:20 1:191:18 1:17 1:161:151:141:131:121:11 1:10 1:091:08 1:07 1:06 1:05 1:041:031:021:01 1:000:59 0:58 0:57 0:560:55 0:54 0:53 0:520:51 0:50 0:490:48 0:47 0:46 0:450:44 0:430:42 0:410:400:390:380:37 0:36 0:35 0:34 0:33 0:32 0:310:30 0:290:280:270:260:25 0:24 0:230:22 0:210:200:190:18 0:17 0:16 0:150:14 0:13 0:12 0:11 0:10 0:090:08 0:07 0:06 0:050:040:030:020:01End Probability Suppose that 62% of the graduates from a HS go on to 4 yr colleges, 15% go on to 2 yr colleges, 18% find a job, and the remaining graduates search for a job. If a randomly selected student is not going to a 4 yr college, what is the probability that he/she will find employment. A B C D E.0.560

B

100 Points 2:001:59 1:58 1:57 1:561:551:541:531:521:511:501:49 1:481:47 1:461:451:441:431:421:411:401:391:381:371:361:35 1:34 1:331:32 1:31 1:301:291:281:27 1:261:25 1:24 1:231:22 1:21 1:20 1:191:18 1:17 1:161:151:141:131:121:11 1:10 1:091:08 1:07 1:06 1:05 1:041:031:021:01 1:000:59 0:58 0:57 0:560:55 0:54 0:53 0:520:51 0:50 0:490:48 0:47 0:46 0:450:44 0:430:42 0:410:400:390:380:37 0:36 0:35 0:34 0:33 0:32 0:310:30 0:290:280:270:260:25 0:24 0:230:22 0:210:200:190:18 0:17 0:16 0:150:14 0:13 0:12 0:11 0:10 0:090:08 0:07 0:06 0:050:040:030:020:01End Inference If you and a friend both randomly choose a number between 1 and 20 inclusive, what is the probability that you pick the same number? A.0.5 B.0.05 C D E.Cannot be determined

A

200 Points 2:001:59 1:58 1:57 1:561:551:541:531:521:511:501:49 1:481:47 1:461:451:441:431:421:411:401:391:381:371:361:35 1:34 1:331:32 1:31 1:301:291:281:27 1:261:25 1:24 1:231:22 1:21 1:20 1:191:18 1:17 1:161:151:141:131:121:11 1:10 1:091:08 1:07 1:06 1:05 1:041:031:021:01 1:000:59 0:58 0:57 0:560:55 0:54 0:53 0:520:51 0:50 0:490:48 0:47 0:46 0:450:44 0:430:42 0:410:400:390:380:37 0:36 0:35 0:34 0:33 0:32 0:310:30 0:290:280:270:260:25 0:24 0:230:22 0:210:200:190:18 0:17 0:16 0:150:14 0:13 0:12 0:11 0:10 0:090:08 0:07 0:06 0:050:040:030:020:01End Experiments/Sampling The purpose of blocking in experimental design is to ___________ Hint: matched pair is a type of blocking A.Control for confounding variables B. Control for experimenter bias C.Replicate the experiment D.Control for lurking variables E.Incorporate blinding

A

300 Points 2:001:59 1:58 1:57 1:561:551:541:531:521:511:501:49 1:481:47 1:461:451:441:431:421:411:401:391:381:371:361:35 1:34 1:331:32 1:31 1:301:291:281:27 1:261:25 1:24 1:231:22 1:21 1:20 1:191:18 1:17 1:161:151:141:131:121:11 1:10 1:091:08 1:07 1:06 1:05 1:041:031:021:01 1:000:59 0:58 0:57 0:560:55 0:54 0:53 0:520:51 0:50 0:490:48 0:47 0:46 0:450:44 0:430:42 0:410:400:390:380:37 0:36 0:35 0:34 0:33 0:32 0:310:30 0:290:280:270:260:25 0:24 0:230:22 0:210:200:190:18 0:17 0:16 0:150:14 0:13 0:12 0:11 0:10 0:090:08 0:07 0:06 0:050:040:030:020:01End Experiments/Sampling Mr. DeMaio wants to collect a sample of 50 PV students. To keep the sample proportions equal to the population proportions, he samples 12 seniors, 14 juniors, 13 sophomores, & 11 freshmen. What type of sampling method was used? A.Simple Random B.Systematic C.Stratified D.Cluster E.Convenience

C

400 Points 2:001:59 1:58 1:57 1:561:551:541:531:521:511:501:49 1:481:47 1:461:451:441:431:421:411:401:391:381:371:361:35 1:34 1:331:32 1:31 1:301:291:281:27 1:261:25 1:24 1:231:22 1:21 1:20 1:191:18 1:17 1:161:151:141:131:121:11 1:10 1:091:08 1:07 1:06 1:05 1:041:031:021:01 1:000:59 0:58 0:57 0:560:55 0:54 0:53 0:520:51 0:50 0:490:48 0:47 0:46 0:450:44 0:430:42 0:410:400:390:380:37 0:36 0:35 0:34 0:33 0:32 0:310:30 0:290:280:270:260:25 0:24 0:230:22 0:210:200:190:18 0:17 0:16 0:150:14 0:13 0:12 0:11 0:10 0:090:08 0:07 0:06 0:050:040:030:020:01End Experiments/Sampling Which of the statements describes good practices when designing experiments? I.Control the effects of confounding variables II.Replicate to increase variation from treatments III.Randomize to ensure that an effect is observed. A.I only B.I and II C.I and III D.II only E.I, II, and III

A

500 Points 2:001:59 1:58 1:57 1:561:551:541:531:521:511:501:49 1:481:47 1:461:451:441:431:421:411:401:391:381:371:361:35 1:34 1:331:32 1:31 1:301:291:281:27 1:261:25 1:24 1:231:22 1:21 1:20 1:191:18 1:17 1:161:151:141:131:121:11 1:10 1:091:08 1:07 1:06 1:05 1:041:031:021:01 1:000:59 0:58 0:57 0:560:55 0:54 0:53 0:520:51 0:50 0:490:48 0:47 0:46 0:450:44 0:430:42 0:410:400:390:380:37 0:36 0:35 0:34 0:33 0:32 0:310:30 0:290:280:270:260:25 0:24 0:230:22 0:210:200:190:18 0:17 0:16 0:150:14 0:13 0:12 0:11 0:10 0:090:08 0:07 0:06 0:050:040:030:020:01End Experiments/Sampling Which of the following best describes the goal of sampling? I.Produce an average sample II.Choose the average representatives III.Produce a representative sample A.I only B.II only C.I & II D.III only E.I and III

D

100 Points 2:001:59 1:58 1:57 1:561:551:541:531:521:511:501:49 1:481:47 1:461:451:441:431:421:411:401:391:381:371:361:35 1:34 1:331:32 1:31 1:301:291:281:27 1:261:25 1:24 1:231:22 1:21 1:20 1:191:18 1:17 1:161:151:141:131:121:11 1:10 1:091:08 1:07 1:06 1:05 1:041:031:021:01 1:000:59 0:58 0:57 0:560:55 0:54 0:53 0:520:51 0:50 0:490:48 0:47 0:46 0:450:44 0:430:42 0:410:400:390:380:37 0:36 0:35 0:34 0:33 0:32 0:310:30 0:290:280:270:260:25 0:24 0:230:22 0:210:200:190:18 0:17 0:16 0:150:14 0:13 0:12 0:11 0:10 0:090:08 0:07 0:06 0:050:040:030:020:01End Inference If all other values are held constant, which of the following is true of a confidence interval if the sample size is increased? A.The margin of error will decrease B.The sample mean will increase C.The margin of error will increase D.The population mean will increase E.The sample variability will decrease

A

Inference 200 Points 2:001:59 1:58 1:57 1:561:551:541:531:521:511:501:49 1:481:47 1:461:451:441:431:421:411:401:391:381:371:361:35 1:34 1:331:32 1:31 1:301:291:281:27 1:261:25 1:24 1:231:22 1:21 1:20 1:191:18 1:17 1:161:151:141:131:121:11 1:10 1:091:08 1:07 1:06 1:05 1:041:031:021:01 1:000:59 0:58 0:57 0:560:55 0:54 0:53 0:520:51 0:50 0:490:48 0:47 0:46 0:450:44 0:430:42 0:410:400:390:380:37 0:36 0:35 0:34 0:33 0:32 0:310:30 0:290:280:270:260:25 0:24 0:230:22 0:210:200:190:18 0:17 0:16 0:150:14 0:13 0:12 0:11 0:10 0:090:08 0:07 0:06 0:050:040:030:020:01End In a survey of 550 students, 260 stated that they had worked during the summer break. In the same survey last year, 300 of 610 stated the same. Which type of test should be used to determine if the difference is statistically significant? A.A matched pair t test B.A one sample t test C.A 1 proportion z test D.A 2 sample t test E.A 2 proportion z test

E

Inference 300 Points 2:001:59 1:58 1:57 1:561:551:541:531:521:511:501:49 1:481:47 1:461:451:441:431:421:411:401:391:381:371:361:35 1:34 1:331:32 1:31 1:301:291:281:27 1:261:25 1:24 1:231:22 1:21 1:20 1:191:18 1:17 1:161:151:141:131:121:11 1:10 1:091:08 1:07 1:06 1:05 1:041:031:021:01 1:000:59 0:58 0:57 0:560:55 0:54 0:53 0:520:51 0:50 0:490:48 0:47 0:46 0:450:44 0:430:42 0:410:400:390:380:37 0:36 0:35 0:34 0:33 0:32 0:310:30 0:290:280:270:260:25 0:24 0:230:22 0:210:200:190:18 0:17 0:16 0:150:14 0:13 0:12 0:11 0:10 0:090:08 0:07 0:06 0:050:040:030:020:01End The mean weight of 120 male high school students is 156 lbs with a standard deviation of 23 lbs. Which test should be used to determine whether the mean weight of all high school seniors is more than 150 lbs? A.A matched pair t test B.A one sample t test C.A 1 proportion z test D.A 2 sample t test E.A 2 proportion z test

B

Inference 400 Points 2:001:59 1:58 1:57 1:561:551:541:531:521:511:501:49 1:481:47 1:461:451:441:431:421:411:401:391:381:371:361:35 1:34 1:331:32 1:31 1:301:291:281:27 1:261:25 1:24 1:231:22 1:21 1:20 1:191:18 1:17 1:161:151:141:131:121:11 1:10 1:091:08 1:07 1:06 1:05 1:041:031:021:01 1:000:59 0:58 0:57 0:560:55 0:54 0:53 0:520:51 0:50 0:490:48 0:47 0:46 0:450:44 0:430:42 0:410:400:390:380:37 0:36 0:35 0:34 0:33 0:32 0:310:30 0:290:280:270:260:25 0:24 0:230:22 0:210:200:190:18 0:17 0:16 0:150:14 0:13 0:12 0:11 0:10 0:090:08 0:07 0:06 0:050:040:030:020:01End Which of the following statements is true? I.The null hypothesis is stated in terms of a population paramenter II.The alternative hypothesis is stated in terms of a sample statistic III.The larger the p-value the weaker the evidence against the null hypothesis A.I & II B.I & III C.III only D.I, II, & III E.None

B

Inference 500 Points 2:001:59 1:58 1:57 1:561:551:541:531:521:511:501:49 1:481:47 1:461:451:441:431:421:411:401:391:381:371:361:35 1:34 1:331:32 1:31 1:301:291:281:27 1:261:25 1:24 1:231:22 1:21 1:20 1:191:18 1:17 1:161:151:141:131:121:11 1:10 1:091:08 1:07 1:06 1:05 1:041:031:021:01 1:000:59 0:58 0:57 0:560:55 0:54 0:53 0:520:51 0:50 0:490:48 0:47 0:46 0:450:44 0:430:42 0:410:400:390:380:37 0:36 0:35 0:34 0:33 0:32 0:310:30 0:290:280:270:260:25 0:24 0:230:22 0:210:200:190:18 0:17 0:16 0:150:14 0:13 0:12 0:11 0:10 0:090:08 0:07 0:06 0:050:040:030:020:01End

A

“Random” 100 Points 2:001:59 1:58 1:57 1:561:551:541:531:521:511:501:49 1:481:47 1:461:451:441:431:421:411:401:391:381:371:361:35 1:34 1:331:32 1:31 1:301:291:281:27 1:261:25 1:24 1:231:22 1:21 1:20 1:191:18 1:17 1:161:151:141:131:121:11 1:10 1:091:08 1:07 1:06 1:05 1:041:031:021:01 1:000:59 0:58 0:57 0:560:55 0:54 0:53 0:520:51 0:50 0:490:48 0:47 0:46 0:450:44 0:430:42 0:410:400:390:380:37 0:36 0:35 0:34 0:33 0:32 0:310:30 0:290:280:270:260:25 0:24 0:230:22 0:210:200:190:18 0:17 0:16 0:150:14 0:13 0:12 0:11 0:10 0:090:08 0:07 0:06 0:050:040:030:020:01End A 95% confidence interval for the true slope of a regression line is (-3.38,-0.936). Which of the following is the point estimate for the slope? A B C D E

B

“Random” 200 Points 2:001:59 1:58 1:57 1:561:551:541:531:521:511:501:49 1:481:47 1:461:451:441:431:421:411:401:391:381:371:361:35 1:34 1:331:32 1:31 1:301:291:281:27 1:261:25 1:24 1:231:22 1:21 1:20 1:191:18 1:17 1:161:151:141:131:121:11 1:10 1:091:08 1:07 1:06 1:05 1:041:031:021:01 1:000:59 0:58 0:57 0:560:55 0:54 0:53 0:520:51 0:50 0:490:48 0:47 0:46 0:450:44 0:430:42 0:410:400:390:380:37 0:36 0:35 0:34 0:33 0:32 0:310:30 0:290:280:270:260:25 0:24 0:230:22 0:210:200:190:18 0:17 0:16 0:150:14 0:13 0:12 0:11 0:10 0:090:08 0:07 0:06 0:050:040:030:020:01End Students are comparing the grade distributions of three professors who teach the same course. Which test would they employ? A.Chi Square test for independence B.Chi Square test for goodness of fit C.Chi Square test for homogeneity D.t-test E.None of the above

C

“Random” 300 Points 2:001:59 1:58 1:57 1:561:551:541:531:521:511:501:49 1:481:47 1:461:451:441:431:421:411:401:391:381:371:361:35 1:34 1:331:32 1:31 1:301:291:281:27 1:261:25 1:24 1:231:22 1:21 1:20 1:191:18 1:17 1:161:151:141:131:121:11 1:10 1:091:08 1:07 1:06 1:05 1:041:031:021:01 1:000:59 0:58 0:57 0:560:55 0:54 0:53 0:520:51 0:50 0:490:48 0:47 0:46 0:450:44 0:430:42 0:410:400:390:380:37 0:36 0:35 0:34 0:33 0:32 0:310:30 0:290:280:270:260:25 0:24 0:230:22 0:210:200:190:18 0:17 0:16 0:150:14 0:13 0:12 0:11 0:10 0:090:08 0:07 0:06 0:050:040:030:020:01End A researcher wishes to study the effects of diet on weight loss. He recruits 60 overweight subjects to participate in the study and records their gender. He also randomly assigns three different diet and exercise regimens to the subjects. Which of the following describes appropriate blocking techniques? A.Block on gender B.Block on diet C.Block on exercise D.Both B & C E.A, B, & C

A

“Random” 400 Points 2:001:59 1:58 1:57 1:561:551:541:531:521:511:501:49 1:481:47 1:461:451:441:431:421:411:401:391:381:371:361:35 1:34 1:331:32 1:31 1:301:291:281:27 1:261:25 1:24 1:231:22 1:21 1:20 1:191:18 1:17 1:161:151:141:131:121:11 1:10 1:091:08 1:07 1:06 1:05 1:041:031:021:01 1:000:59 0:58 0:57 0:560:55 0:54 0:53 0:520:51 0:50 0:490:48 0:47 0:46 0:450:44 0:430:42 0:410:400:390:380:37 0:36 0:35 0:34 0:33 0:32 0:310:30 0:290:280:270:260:25 0:24 0:230:22 0:210:200:190:18 0:17 0:16 0:150:14 0:13 0:12 0:11 0:10 0:090:08 0:07 0:06 0:050:040:030:020:01End Which of the following statements are true? I.The range of the sample data set can never be greater than the range of the population. II.While the range is affected by outliers, the interquartile range is not. III.Changing the order from ascending to descending changes the sign of the range. A.I only B.II only C.III only D.I and II E.I and III

D

“Random” 500 Points 2:001:59 1:58 1:57 1:561:551:541:531:521:511:501:49 1:481:47 1:461:451:441:431:421:411:401:391:381:371:361:35 1:34 1:331:32 1:31 1:301:291:281:27 1:261:25 1:24 1:231:22 1:21 1:20 1:191:18 1:17 1:161:151:141:131:121:11 1:10 1:091:08 1:07 1:06 1:05 1:041:031:021:01 1:000:59 0:58 0:57 0:560:55 0:54 0:53 0:520:51 0:50 0:490:48 0:47 0:46 0:450:44 0:430:42 0:410:400:390:380:37 0:36 0:35 0:34 0:33 0:32 0:310:30 0:290:280:270:260:25 0:24 0:230:22 0:210:200:190:18 0:17 0:16 0:150:14 0:13 0:12 0:11 0:10 0:090:08 0:07 0:06 0:050:040:030:020:01End Increasing your sample size in a hypothesis test: I. Decreases the probability of a Type I Error II.Decreases the probability of a Type II Error III.Increases the Power of the test A.I only B.II only C.I & III D.II & III E.I, II, & III

D