In a study on the effect of sleep deprivation on pilots’ flightperformance, 10 pilots were tested on a flight simulation after 12hours of sleep deprivation, tested again after 24 hours, and testedonce more after 36 hours. The dependent variable was the numberof flight decision errors made by the pilots during each test.1.Which statistical test should be used to analyze the data? Bespecific. Why should this particular test be used?What are the degrees of freedom for the comparisondistribution?What is the critical value of the test statistic (a = .05)?You run the test and find that F = 9.92. What do you||%3Dobtconclude about the effect of sleep deprivation on flightperformance?

It can be interpreted that, the objective of the given test is to validate the claim that if the…

Answered: In a study on the effect of sleep…

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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If Q1 is the value for which 25% of observations are smaller, then A. Only 25% of the observations are greater than Q3 B. Q3 or the upper quartile is the value for which 75% are larger. C. Q1 is also the median D. Q2 is the upper quartile
Do certain car colors attract the attention of police more than others, so that they are more likely to get speeding tickets? A few years ago a curious newspaper columnist tabulated the car color on a random sample of 120 speeding citations at the local courthouse. Here are his results. Color Red White/Silver Gray/Black Other Number of speeding tickets 19 28 30 43 He then went to the state motor vehicle registry and obtained data on the distribution of car colors for all cars registered in his state: Color Red White/Silver Gray/Black Other Percentage of cars on highway 12% 20% 19% 49% Do the data give evidence that certain color cars get more speeding citations (tickets) than you would expect? Use ? = 0.05.
c. this test statistic for data = d. the p-value for this sample =
Which statistical test should be used? Researchers wondered if frequent checking of email increases stress. They randomly assigned their participants to check email just three times a day for a week, and then in the second week, to check email as often as they wanted. The researchers did find that participants were less stressed, on average, during the limited email week than during the unlimited email week. Which statistical test should be used? A professor was interested in studying how academic major (Psychology vs. Chemistry) is related to creativity (assessed by a creativity questionnaire). Which statistical test should be used to for a difference between psychology and chemistry majors in creativity?
For the folllwing two questions state the response variable and the explanatory variable 1.Is there a relationship between the final rating given by the customer and the number of exchanges during the conversation? If so, which of the exchange categories have significantly different mean ratings? 2. It is thought that having a relatively consistent length of message in any given conversation indicates a pattern of helpful, well-balanced communication. In fact, some new research suggests that to ensure a productive conversation the maximum message length should be no more than 8 words greater than the minimum message length in any conversation. Test whether the conversations in the sample meet the criteria suggested by this research study.
The Bureau of Labor Statistics reports that the official unemployment rate for Black people was 10.4% and 4.7% for White people in February 2015. Select all correct answers for this question. O The samples of white and black people are independent. The explanatory variable is the unemployment rate. The response variable is the unemployment rate. The response variable is race.
Course/Year 1. Brian, a college administrator, claimed that there was no difference in averages of students coming from three nearby schools A, B, and C. Use the following data to test his claim with a 1% significance level. Ex A-420 2x² 253 Ex B 340 SANOVA Table: 4 Source of Variation Between - column Within - column Total A A. Ho: B. a: 0.01 C. B C 3 _M₁ = M₁₂₁ = M²3 Sum of Squares 2.25 Compute for sum of squares D. Compute for degrees of freedom 84 88 88 E. Compute for mean sum of squares F. Compute for F-value 82 83 80 df 2 Ha: STUDENTS 89 82 89 Mean Sum of Squares 85 83 80 F-value Mr & Mr & M²₂ n₁ = √=n²₁₂₁ = 3 - N = 12 7 Critical Value / Tabular Value Decision
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…
Caden then performs a significance test. First, he performs 100 simulations. For each simulation, he randomly reorganizes the subjects into two groups, A and B, of size 10. In the simulations, group A plays the role of the treatment group and group B plays the role of the control group. After each simulation, he subtracts the average for group B from the average for group A. The distribution of the differences for all 100 simulations is shown in the histogram. 30 28 26 24 22 12 10 6. 2 Group A avg. - Group B avg. In the original experiment, the average for the treatment group was 0.8 higher than the average for the control group. Based on the 100 simulations, are the results of the experiment significant at the 5% level? yes no Number of simulations [-2.7, -2.2) [-2.2, -1.7) [-1.7, -1.2) [-1.2, -0.7) [-0.7, -0.2) [-0.2, 0.3) [0.3, 0.8) [0.8, 1.3) [1.3, 1.8) [1.8, 2.3) [2.3, 2.8)
A researcher is studying the effects of the college experience on attitudes, values, and behaviors and is comparing random samples of freshman and seniors at the same university. Is there a significant difference in political ideology? (On this scale, 10 means "very conservative" and 1 means "very liberal") FRESHMAN SENIORSmean=5.23 mean=5.12s=1.78 s=1.07N=145 N=105
A study is being conducted to determine the relationship between religions and preference for female children in Japan. The results are given in the following table. Does it seem that there is a relationship between religion and preference for female children? Use the 5% significance level, to test the claim.

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