-
9.44 t statistics and standardized tests: On its Web site, the Princeton Review claims that students who have taken its course improve their Graduate Record Examination (GRE) scores, on average, by 210 points (based on the old scoring system). (No other information is provided about this statistic.) Treating this average gain as a population
mean , a researcher wonders whether the far cheaper technique of practicing for the GRE on one’s own would lead to a different average gain. She randomly selects five students from the pool of students at her university who plan to take the GRE. The students take a practice test before and after 2 months of self-study. They reported (fictional) gains of 160, 240, 340, 70, and 250 points. (Note that many experts suggest that the results from self-study are similar to those from a structured course for students who have the self-discipline to study on their own. Regardless of the format, preparation has been convincingly demonstrated to lead to increased scores, on average.)-
Using symbolic notation and formulas (where appropriate), determine the appropriate mean and standard error for the distribution to which we will compare this sample. Show all steps of your calculations.
-
Using symbolic notation and the formula, calculate the t statistic for this sample.
-
As an interested consumer, what critical questions would you want to ask about the statistic reported by the Princeton Review? List at least three questions.
-
Trending nowThis is a popular solution!
Step by stepSolved in 4 steps with 1 images
- could you please help to answer this question? thank youarrow_forward40 30 20 10 0 00 : 00000 -1.00 00000 -0.75 3. A statistics student seeking part-time employment as a New York City cab driver is trying to decide between driving a yellow cab or a green cab and examines tip amounts to help in making the decision. Using data from the New York City Taxi & Limousine Commission (http:// www.nyc.gov/html/tlc/html/about/trip_record_data.shtml), the stu- dent examines tip amounts from 25 randomly selected green cab fares and tip amounts from 25 randomly selected yellow cab fares. Graphs and summary statistics of the sample data from green cabs (G) and yellow cabs (Y) are shown. Green Cab ooooooooo000 Yellow Cab oooooooooooo 우1 -0.50 88.8. COCO 2 - 3 -0.25 4 5 Amount of Trip 0.go null = 0 Source: http://www.nyc.gov/html/tlc/html/about/trip_record_data.shtml Because each sample includes outliers, a two-sample t-test for H₁ a difference in means is not appropriate to test the hypotheses: Ho: MG My = 0, Ha:MG My # 0. The student simulates a distri- µy bution of…arrow_forwardA graduate student is interested in how viewing different types of scenes affects working memory. For his study, he selects a random sample of 36 adults. The subjects complete a series of working memory tests before and after walking in an urban setting. Before the walk, the mean score on the test of working memory was 9.1. After the walk, the mean score was 1.4 higher. The graduate student has no presupposed assumptions about how viewing different types of scenes affects working memory, so he formulates the null and alternative hypotheses as: H00 : μDD = 0 H11 : μDD ≠ 0 Assume that the data satisfy all of the required assumptions for a repeated-measures t test. The graduate student calculates the following statistics for his hypothesis test: Mean difference (MDD) 1.4 Estimated population standard deviation of the differences (s) 1.6 Estimated standard error of the mean differences (sMDMD) 0.2667 Degrees of freedom (df) 35 The t statistic 5.25 The critical values of t…arrow_forward
- The price of a share of stock divided by the company's estimated future earnings per share is called the P/E ratio. High P/E ratios usually indicate "growth" stocks, or maybe stocks that are simply overpriced. Low P/E ratios indicate "value" stocks or bargain stocks. A random sample of 51 of the largest companies in the United States gave the following P/E ratiost. 9 20 11 35 19 13 15 21 29 53 16 26 21 14 21 27 10 12 47 14 40 18 60 72 33 14 8 49 5 16 8 19 12 31 67 51 26 18 17 20 19 13 25 23 27 44 20 27 19 18 32 (a) Use a calculator with mean and sample standard deviation keys to find the sample mean x and sample standard deviation s. (Round your answers to one decimal place.) (b) Find a 90% confidence interval for the P/E population mean u of all large U.S. companies. (Round your answers to one decimal place.) lower limit upper limit (c) Find a 99% confidence interval for the P/E population mean u of all large U.S. companies. (Round your answers to one decimal place.) lower limit upper…arrow_forwardJust answer question number 1 Answers: 1. 2 vs. 3, q = 6.74, Reject H0, the mean scores of groups 2 and 3 differ significantly; 2 vs. 4, q = 2.04, Do not reject H0, there is no evidence for a significant difference between the mean scores of groups 2 and 4; 2 vs. 1, q = 5.62, Reject H0, the mean scores of groups 2 and 1 differ significantly.arrow_forwardA professor was interested in how exam performance related to study time. Just before an exam began the professor asked students in his class to write down how many hours they had studied for the exam in the past two weeks. He then compared their exam scores to the reported study time. What type of study did the professor carry out? ex post facto correlational case experimentalarrow_forward
- (3) The table contains hypothetical data from a study that a bank conducted on the credit card balances of male and female credit card holders (credit cards owned by both men and women were left out of the study). Male Female Mean $3,550 $2,670 Median $2,175 $2,500 Std Dev $1,240 $825 a. What conclusions can we come to by comparing the medians of the males and females? b. What conclusions can we come to by comparing the standard deviations of the males and females? c. Notice that the mean and median of the males are fairly far apart while the mean and median of the females are not. What does this tell us about the credit card balances of the males vs the credit card balances of the females?arrow_forwardYou are examining two data sets involving test scores, set A and set B. The score 96 appears in both data sets. In which of the following data sets does 96 represent a higher score? Explain.(a) The percentile rank of 96 is higher in set B than in set A. A. 96 represents a higher score in Set A because a larger percentage of scores fall below 96 in set A.B. 96 represents a higher score in Set B because a larger percentage of scores fall below 96 in set B. C. 96 represents an equivalent score in both sets because an equal percentage of scores fall below 96 in both sets.D. It is impossible to tell in which set 96 represents a higher score because a percentage depends on the number of test scores in the set, which is unknown. (b) The mean is 90 in both data sets, but set A has a higher standard deviation.A. 96 represents a higher score in Set A because 96 is more standard deviations above the mean.B. 96 represents a higher score in Set B because 96 is more standard deviations above the…arrow_forwardA hospital has a main campus and three satellite locations. Management wants to reduce waiting time for ER cases. A random sample of 11 ER cases at each location was selected, and the waiting time was measured. (The table of data at the very end may be copied and pasted directly into Excel.) Complete parts (a) through (d) to determine if there is statistical evidence of a difference in the mean waiting times betweeen the four locations. Part 1 a. State the two hypotheses. Choose the correct answer below. A.H0:μ1=μ2=•••=μ4H1:Not allμjare equal (where j=1,2,...,4) B.H0:μ1=μ2=•••=μ4H1:μ1≠μ2≠•••≠μ4 C.H0:μ1=μ2=•••=μ11H1:μ1≠μ2≠•••≠μ11 D.H0:μ1=μ2=•••=μ11H1:Not allμjare equal (wherej=1,2,...,11) b. At the 0.05 level of significance, state the test statistic. (Round to two decimal places to the right of the decimal point as needed.) A.FSTAT = 0.005, from the first row of the ANOVA table B.FSTAT = 4.91, from the first row of the ANOVA table…arrow_forward
- MATLAB: An Introduction with ApplicationsStatisticsISBN:9781119256830Author:Amos GilatPublisher:John Wiley & Sons IncProbability and Statistics for Engineering and th...StatisticsISBN:9781305251809Author:Jay L. DevorePublisher:Cengage LearningStatistics for The Behavioral Sciences (MindTap C...StatisticsISBN:9781305504912Author:Frederick J Gravetter, Larry B. WallnauPublisher:Cengage Learning
- Elementary Statistics: Picturing the World (7th E...StatisticsISBN:9780134683416Author:Ron Larson, Betsy FarberPublisher:PEARSONThe Basic Practice of StatisticsStatisticsISBN:9781319042578Author:David S. Moore, William I. Notz, Michael A. FlignerPublisher:W. H. FreemanIntroduction to the Practice of StatisticsStatisticsISBN:9781319013387Author:David S. Moore, George P. McCabe, Bruce A. CraigPublisher:W. H. Freeman