QUESTION 10 A retail chain would like to test if a difference exists between the variability of customer satisfaction scores from twvo locations. The following data represents satisfaction scores from a random sample of customers from these locations on a scale of 1-20. Location 1 14 20 18 15 17 16 12 Location 2 19 17 18 16 20 18 The test statistic for this hypothesis test would be OA 1.965 O B. 3.500 OC3.078 OD.2.431

QUESTION 10 A retail chain would like to test if a difference exists between the variability of customer satisfaction scores from twvo locations. The following data represents satisfaction scores from a random sample of customers from these locations on a scale of 1-20. Location 1 14 20 18 15 17 16 12 Location 2 19 17 18 16 20 18 The test statistic for this hypothesis test would be OA 1.965 O B. 3.500 OC3.078 OD.2.431

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

If a research design has only one scale variables and the researcher is asking a question about the degree of association between those two variables, which research design is appropriate? a. Pearson correlation coefficient b. factorial ANOVA c. regression d. independent-samples t test
Interpret and discuss the results for each table, given ? = ?. ??
A 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…
Researchers investigate how the presence of cell phones influence the quality of human interaction. Subjects are randomly selected from a population and divided into an experimental group that is asked to leave their phones in the front of the room and a control group that are not asked to leave their cell phones at the front of the room. Subjects are left alone for 10 minutes and then asked to take a survey designed to measure quality of interactions they had with others in the experiment. What statistical test is appropriate?
A school principal claims that the number of students who are tardy to school does not vary from month to month. A survey over the school year produced the following results. Using a 0.01 level of significance, test a teacher's claim that the number of tardy students does vary by the month. Number Aug. Oct. Sept. 18 13 19 Tardy Students Nov. Dec. Jan. 14 8 Feb. Mar. Apr. 6 13 11 15 May 16 Copy Data Step 2 of 4: Calculate the expected value for the number of tardies in October. Enter your answer as a fraction or a decimal rounded to three decimal places.
A school principal claims that the number of students who are tardy to school does not vary from month to month. A survey over the school year produced the following results. Using a 0.01 level of significance, test a teacher's claim that the number of tardy students does vary by the month. Number Aug. Sept. Oct. 18 13 19 Tardy Students Nov. 14 Dec. Jan. Feb. Mar. Apr. May 8 6 13 11 15 16 Copy Data Step 3 of 4: Compute the value of the test statistic. Round any intermediate calculations to at least six decimal places, and round your final answer to three decimal places.
A plant pathologist wants to compare two strains of bacteria in terms of its reproduction rate. Test of normality showed that the two samples have heterogeneous variances. Which of the following would you advise the plant pathologist to conduct? A. t-test B. Mann Whitney C. Kruskal Wallis test . D Anova F-test
treatment conditions. a. Treatment 1 0 0 0 3 0 0 T=3 SS = 7.5 Treatment 2 2 3 1 3 2 1 T = 12 SS=4 Treatment 3 4 2 4 3 4 4 G=36 SStotal = 42 T = 21 SS = 3.5 Use an analysis of variance with a = .05 to determine whether these data indicate any significant mean differences among the treatments. Please organize all of your work on a source table E C
QUESTION 1 A health researcher read that a 150-pound college-aged, male can burn an average of 530 calories per hour playing tennis with a standard deviation of 25 calories. 40 college-aged males were randomly selected at a commuter school and the mean number of calories burned per hour playing tennis was 540 calories. Do college-aged male tennis players at the commuter school burn more calories per hour than the college-aged, male tennis player population? Test with a 0.05 significance level. What are the hypotheses? Null and Alternate
#2...Can you write out answer please n thank u
QUESTION 2 A study is being carried out to see any differences in life satisfaction between young, middle- aged, and older men and women. A life satisfaction questionnaire is given to each participant in the research. A high degree of life satisfaction is indicated by a high score on the questionnaire. The results are listed in the table below. Adult Categories Gender Young Middle Older Men 7 10 Women 11 10 The MINITAB output for the above data is as follows. Analysis of Variance Source gender adult categories DF MS 6.000 8.667 C 0.225 4.334 0.187 6.000 A 4.000 27.333 Error B Total 5 Assume all the assumptions of ANOVA are met, answer the following questions. c) Using the given data, show that SST is 27.333
Question 4a A research organization wishes to determine whether the driving range of different electric cars on a full charge are equal. The number of mileage for each car is given below. Lucid Air Tesla Model S Ford Mustang Mach-E Mean mileage 387 305 520 20 30 Sample variance Sample Size 24 4 4 Use the above data and test to see if the mean mileage for all three brands of electric cars is the same. Let a = .05. Complete the ANOVA table and show the details of calculation to get full credits. a) State the null and alternative hypotheses to be tested.