Example 19.11 A Company has collected the following data that relate to the average weekly loss ofman-hours on account of accidents in 8 plants over a period of six months. The data were obtained toascertain the effectiveness of an industrial safety 'before and after' programme was put into operation:72 and 59, 26 and 24, 125 and 120, 39 and 35, 54 and 43, 39 and 35, 13 and 15, 12 and 18Test the null hypothesis that the safety programme is not effective, using the two-sample sign test ata = 0.05 level of significance.

Answered: Image /qna-images/answer/25ccc92b-06df-4438-8e9e-f695950506d3.jpg

Answered: Example 19.11 man-hours on account of…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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3. Dependent-samples t-test. A researcher wants to examine if play therapy can be an effective treatment for nightmares in children. Parents for a sample of 5-year-old children record each incident of a nightmare for 1 month before starting play therapy. After the start of play therapy, they continue to report each incident of a nightmare for another month. Do the data indicate a significant change in the number of nightmares? Test at the .05 level of significance Number of Nightmares 1 month during treatment 1 month before treatment 23 20 26 22 22 18 19 20 21 18 a. Conduct a complete hypothesis test b. Compute r? c. Give a full APA-style write up of your results
Part 1 of 4 The restaurants of a fast food chain are primarily located in three regions of Arizona. The CEO of the chain wants to know if the average monthly revenue of the restaurants in each region are equal. The monthly revenues (in thousads of dollars) for this past month of the restaurants in each of the three regions are given below. Conduct an ANOVA test using a 5% level of significance to determine whether or not the average monthly revenues in the three regions are equal. Monthly Revenues of Restaurants in Region 1: 179, 183.3, 156.8, 155.1, 253, 105.4, 219, 134.3, 119.9, 193.1, 188.5, 188.4 Monthly Revenuse of Restaurants in Region 2: 158.7, 175.2, 187.8, 187.1, 118.1, 179.5, 195.1, 199.7, 349.6, 226.5, 253.7, 287.4, 172.8, 290.5, 149 Monthly Revenuse of Restaurants in Region 3: 215.4, 199.8, 360.7, 273, 250, 214.2, 144.5, 165, 137, 187.6 Step 1: State the null and alternative hypotheses. Ho: P1 = P2 = H3 Ha: At least one mean isn't equal to the other means v Part 2 of 4 Step…
6. An experiment measured the level of CPK in the blood of ten runners and ten cyclists, both before and after exercise. Runners Cyclists Mean St. Dev. Mean St. Dev. Before exercise 255.63 115.58 173.8 90.69 After exercise 284.75 132.64 177.1 64.53 Difference 29.12 21.01 3.3 6.85 a) Test whether there is significant difference between the CPK values of runners and cyclists before exercise at the a = 0.05 level, assuming that the standard deviations are different for these populations. b) Find a 95% confidence interval for the difference of CPK values of runners and cyclists before exercise. c) Test at the a = 0.05 level whether there is a significant increase in the CPK levels of cyclists before and after exercise.
We are interested in analysing the effect of the lockout laws introduced in some areas of the Sydney CBD and nearby surrounds on the number of alcohol-related violent incidents. Suppose we have two samples of data on the number of violent incidents in a number of local areas of the Sydney CBD and nearby surrounds. Pubs, hotels and clubs located in a subset of these areas became subject to the lockout laws when they were introduced in 2014. The first sample is from 2010 before the introduction of the lockout laws, and the second is from 2015 after the introduction of the law. The hypothesis we wish to test is that the introduction of the lockout laws reduces violent incidents in the areas in which the lockout laws were put in place. We use a difference-in-difference model on the pooled data from 2010 and 2015. We find the following results: viol_inc hat = 33.21 (5.29) + 12.43lockout (7.01) – 4.19Yr2015 (2.98) – 3.32 (lockout x Yr2015) (1.85) N = 181, R^2 = 0.128 Where: viol_incis the…
3) Two hundred hypertensive patients are assigned to a diet program. Blood pressure is measured on each patient both before the program starts and 3 months after the start of the program. The correct statistical procedure to determine whether or not the mean blood pressure change (after-before) changed significantly different in the patients is: a. Paired t-test b. 2 sample unpaired t-test c. Fisher's exact test (an exact version of the chi-squared test for 2x2 contingency tables) d. None of the above
#32). Please show work and answers, need to see how it’s done. Thank you!
An I/O psychologist wants to know if there is a difference in worker evaluations depending if the evaluator is a male or female. 15 men and 15 women managers were asked to rate on a scale of 0-10 the same group of worker files. The ratings on the worker evaluations were recorded for each manager. Which statistical test would be best to determine if there is a significant difference between groups? one-sample t-test dependent samples t-test independent samples t-test ANOVA
Suppose an instructor would like to know if there is difference in the performance of her two courses of 560 students each. She proceeds to take a random sample of size 50 from each independent class and was able to establish the following results: mean SD Class 1 86 17 Class 2 78 15 Is there a significant difference between the two classes at a significance level of five percent?
On a particular proposal of national importance, males and females cast votes as included in the following table In Favor Opposed Undecided Male 90 65 43 Female 115 74 32 Suggest an appropriate test for the data and analyze it at 1% level of significance.
Acne is a common skin disease that affects most adolescents and can continue into adulthood. A study compared the effectiveness of three acne treatments and a placebo, all in gel form, applied twice daily for 12 weeks. The study's 517 teenage volunteers were randomly assigned to one of the four treatments. Success was assessed as clear or almost clear skin at the end of the 12 week period. The results of the study can be seen in the table below. Using the appropriate statistical test, determine if there is significant evidence that the four treatments perform differently. If so, how do they compare.
A psychologist wanted to study the effect of television violence on cortisol levels in the blood (high scores indicate high levels). The psychologist measured cortisol levels in seven participants before and after the participants watched a violent show. Participants' cortisol level scores are listed below. The researcher is interested if there is a change in the cortisol levels after watching the violent show. Carry out a t test for dependent means (using the .01 significance level). What should the researcher conclude? a.) Use the five steps of hypothesis testing. Label all the steps clearly. Show ALL work/calculations. b.) Report the statistic in APA format (the statistical sentence). Cortisol Levels in Blood Before and After Watching Violent Show Participant Before After A 3 3 B 15 3 9 6 D 6 8 E 8 F 4 1 Type here to search E I O KO 112 prt sc & * 6 E R T S G K V. alt alt 目 B.
2. A principal of high school was concerned with amount of time her students devote to working at after-school jobs. She randomly selected 25 students, obtained their working hours for 1 week and computed x = 12.5 hours and s = 4.5 hours. She claims that her students work significantly more than the mean of 10.7 hours from a study conducted by the National Association of State High School Association. Test her claim by using the 5% level of significance.

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