2. In a study of inter spousal aggression and its possible effect on child behavior, the Behavior ProblemChecklist (BPC) scores were recorded for 47 children and whose parents were classified as aggressive. Thesample mean and standard deviation were 7.92 and 3.45, respectively. For a sample of 38 children whoseparents were classified as non-aggressive, the mean and standard deviation of the BPC scores were 5.80and 2.87, respectively. Do these observations substantiate the conjecture that the children of aggressivefamilies have higher mean BPC than those of non-aggressive families? Use a significance level of 0.05.3. Ms Julia Palac is an instructor in Statistics. She gave an examination before and after he discussed thetopic "hypothesis testing" and gathered the following data:Studen Score beforeScore afterDiscussionDiscussion818587907075489938588At a = 0.01 level of significance, is the learning effective?

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Answered: 2. In a study of inter spousal…

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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My question was rejected, I changed my image for it to include more infor..In my image attatched, I am having trouble finding what the percentages would be for company A, B, and C... could you help me with it and explain? Thanks!
In a study on the effect of sleep deprivation on pilots’ flight performance, 10 pilots were tested on a flight simulation after 12 hours of sleep deprivation, tested again after 24 hours, and tested once more after 36 hours. The dependent variable was the number of flight decision errors made by the pilots during each test. 1. Which statistical test should be used to analyze the data? Be specific. Why should this particular test be used? What are the degrees of freedom for the comparison distribution? What is the critical value of the test statistic (a = .05)? You run the test and find that F = 9.92. What do you || %3D obt conclude about the effect of sleep deprivation on flight performance?
A department-store chain randomly sampled 10 stores in a state. After a review of sales records, it was found that, compared with the same period last year, the following percentage increases in dollar sales had been achieved over the Christmas period this year:10.2 3.1 5.9 7.0 3.72.9 6.8 7.3 8.2 4.3a. Calculate the mean percentage increase in dollar sales. b. Calculate the median.
Why is it important to report both a measure of central tendency and variability to describe a set of scores?
Insurance Company A claims that its customers pay less for car insurance, on average, than customers of its competitor, Company B. You wonder if this is true, so you decide to compare the average monthly costs of similar insurance policies from the two companies. For a random sample of 13 people who buy insurance from Company A, the mean cost is $⁢150 per month with a standard deviation of $⁢19. For 9 randomly selected customers of Company B, you find that they pay a mean of $⁢157 per month with a standard deviation of $16. Assume that both populations are approximately normal and that the population variances are equal to test Company A’s claim at the 0.05 level of significance. Let customers of Company A be Population 1 and let customers of Company B be Population 2. Step 2 of 3: Compute the value of the test statistic. Round your answer to three decimal places. Step 3 of 3: Draw a conclusion and interpret the decision.
Insurance Company A claims that its customers pay less for car insurance, on average than customers of its competitor, Company B. You wonder if this is true, so you decide to compare the average monthly costs of similar insurance policies from the two companies. For a random sample of 11 people who buy insurance from Company A, the mean cost is $⁢150 per month with a standard deviation of $⁢14. For 14 randomly selected customers of Company B, you find that they pay a mean of $⁢158 per month with a standard deviation of $⁢12. Assume that both populations are approximately normal and that the population variances are equal to test Company A’s claim at the 0.10 level of significance. Let customers of Company A be Population 1 and let customers of Company B be Population 2. Step 2 of 3 : Compute the value of the test statistic. Round your answer to three decimal places.
Insurance Company A claims that its customers pay less for car insurance, on average, than customers of its competitor, Company B. You wonder if this is true, so you decide to compare the average monthly costs of similar insurance policies from the two companies. For a random sample of 13 people who buy insurance from Company A, the mean cost is $150 per month with a standard deviation of $19. For 9 randomly selected customers of Company B, you find that they pay a mean of $157 per month with a standard deviation of $16. Assume that both populations are approximately normal and that the population variances are equal to test Company A's claim at the 0.05 level of significance. Let customers of Company A be Population 1 and let customers of Company B be Population 2. Step 2 of 3: Compute the value of the test statistic. Round your answer to three decimal places.
4. Dougall compared the resting heart rate of average healthy citizens and soldiers suffering from post-traumatic stress disorder (PTSD). The normal resting heart rate for 25 healthy people averages 65 beats per minute (bpm) with a standard deviation of 6 bpm. The average heart rate of 16 people suffering from PTSD was 82 bpm with a standard deviation of 8 bpm. Use a = .05 for a two-tailed test. Does PTSD cause an elevation in resting heart rate? Complete all 4 steps of hypothesis testing.
The National Assessment of Educational Progress (NAEP) is a nationwide assessment of students' proficiency in nine subjects: mathematics, reading, writing, science, the arts, civics, economics, geography, and U.S. history. The main NAEP assessments are conducted annually on samples of students from grades 4, 8, and 12. Suppose in 2001, the geography scores for male students had a mean of 264 with a standard deviation of 34. Assume that these scores are normally distributed with the given mean and standard deviation. The normal curve representing this distribution of the scores is symmetrical about a vertical line through The value 162 is under the curve between 162 and 366 is approximately below the mean, and the value 366 is Similarly, 95.44% of the male students scored between and above the mean. The area
A polling organization reported data from a survey of 2000 randomly selected Canadians who carry debit cards. Participants in this survey were asked what they considered the minimum purchase amount for which it would be acceptable to use a debit card. Suppose that the sample mean and standard deviation were $9.14 and $7.70, respectively. (These values are consistent with a histogram of the sample data that appears in the report.)Do these data provide convincing evidence that the mean minimum purchase amount for which Canadians consider the use of a debit card to be appropriate is less than $10? Carry out a hypothesis test with a significance level of 0.01. (Use a statistical computer package to calculate the P-value. Round your test statistic to two decimal places and your P-value to four decimal places.) t = P-value = State your conclusion. Reject H0. We do not have convincing evidence that the mean minimum purchase amount for which Canadians consider it…
What are some different types of analyses I could run on a independent sample t-test?
In a study examining the relationship between socioeconomic status (SES) and academic achievement among high school students, the researchers collected data on 500 students from varying SES backgrounds. The SES was categorized into low, medium, and high. The academic achievement was measured using GPA scores. The following descriptive statistics were obtained: Mean GPA for low SES students: 2.8 Standard deviation of GPA for low SES students: 0.5 Mean GPA for medium SES students: 3.5 Standard deviation of GPA for medium SES students: 0.3 Mean GPA for high SES students: 4.0 Standard deviation of GPA for high SES students: 0.2 a) Calculate the coefficient of variation for each SES group and interpret the results.

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