Answered: Question 9 options: An ANOVA F-test…

Question 9 options: An ANOVA F-test The Simpson's paradox test The continuity-corrected chi square test The Cochran-Mantel-Haenszel test The hypergeometric test

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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A survey was conducted to determine whether hours of sleep per night are independent of age. A sample of individuals was asked to indicate the number of hours of sleep per night with categorical options: fewer than 6 hours, 6 to 6.9 hours, 7 to 7.9 hours, and 8 hours or more. Later in the survey, the individuals were asked to indicate their age with categorical options: age 39 or younger and age 40 or older. Sample data follow. Age Group Hours of Sleep 39 or younger 40 or older Fewer than 6 38 36 6 to 6.9 60 57 7 to 7.9 76 74 8 or more 66 93 (a) Conduct a test of independence to determine whether hours of sleep are independent of age. (b) What is your estimate of the percentages of individuals who sleep fewer than 6 hours, 6 to 6.9 hours, 7 to 7.9 hours, and 8 hours or more per night?
a) In a chi-square test, the “expected” counts are the values we expect if there is an association between the variables. True False b) A small chi-square test statistic is consistent with the null hypothesis. True False
An alternate hypothesis that includes < or > is called a ___________ test.
The boxplot shown below results from the heights (cm) of males listed in a data set. What do the numbers in that boxplot tell us? 154 173.8 194 169.7 183.5 The minimum height is cm, the first quartile Q, is cm, the second quartile Q, (or the median) is cm, the third quartile Q, is cm, and the maximum height is cm. (Type integers or decimals. Do not round,)
Is the following a non-directional (two tailed) or directional (one tailed) hypothesis? There are more students in the class who commute to campus than students who do not commute to campus?
The following exercise refers to a survey introduced in Exercise 1.24. The survey was given to a sample of high school seniors in Pennsylvania between 2010 and 2019, and includes many different variables. The data is in PASeniors. PA Seniors: Favorite Way to Communicate by Gender One of the variables in the survey asks the students to indicate their favorite way to communicate.The results are shown in the table below by gender,and are available in the two categorical variables Communicate and Gender in PASeniors. (a) Test to see if the distribution of preferences is different between males and females for high school seniors in Pennsylvania. Use a 5% significance level. Chi-square statistic: ? (round to three decimal places)p-value: ? (round to three decimal places)Conclusion: ? (b) Cells for which way to communicate contribute the most to the chi-square statistic?…
When analyzing an association between two variables, the size of the correlation may be deceptive because of a.) a spurious association b.) range restriction c.) conflated data d.) poor statistical validity
You notice that the type of phone someone has and the computer operating system they use seems to be related. To determine if Phone and Computer OS are dependent, what are the appropriate hypotheses? Question 17 options: 1) HO: Phone and Computer OS are independent of one another.HA: Phone and Computer OS display a negative correlation. 2) There is no correct set hypotheses given. 3) HO: Phone and Computer OS are not related to each other.HA: Phone and Computer OS display a positive correlation. 4) HO: Phone and Computer OS are dependent on one another.HA: Phone and Computer OS are not related to each other. 5) HO: Phone and Computer OS are not related to each other.HA: Phone and Computer OS are related to one another.
1 of 3 Unit 6 - Inference for Categorical Data: Proportions M&M Activity Name: Have you ever opened a bag of M&Ms and been surprised at the distribution of colors? We are going to investigate the different colors of M&Ms in a bag! Now, since I am not made of money, I can only afford for us to do a test based off of a fun-size pack. Now, you cannot EAT your candy!!! (right now...) Count the number of candies in your bag: _102 Fill in the chart with your information: Color Brown Red Yellow Orange Green Blue Count 14 11 10 37 11 19 Proportion 0.14 0.11 0.10 0.36 0.11 0.19 Looking at your data, you are going to test each claimed color given below. (Don't worry, we are not breaking rules – we will use the class data in a moment to actually conduct the test 0) Fill in the blank with , or * based on what you found in your bag. Brown: H.: p = 0.13 vs H,: p> 0.13 Red: H p-0.13 vs H.: p 0.15 Green: H p = 0.15 vs H,: p 0.13 H p- 0.20 vs H.: p< 0.20 St a p= 0.12 p=0.15 p=0.14 e Random - Random –…
The Kolmogorov-Smirnov tests for what assumption?
You are conducting a multinomial hypothesis test for the claim that the 4 categories occur with the following frequencies:HoHo : pA=0.2pA=0.2; pB=0.3pB=0.3; pC=0.2pC=0.2; pD=0.3 Complete the table. Category ObservedFrequency ExpectedFrequency SquaredResidual A 21 B 25 C 21 D 16
The boxplot shown below results from the heights (cm) of males listed in a data set. What do the numbers in that boxplot tell us? 152 173.3 194 169.6 179.5 The minimum height is cm, the first quartile Q, is cm, the second quartile Q, (or the median) is cm, the third quartile Q, is cm, and the maximum height is cm. (Type integers or decimals. Do not round.) O Time MacBook Pro -> G Search or type URL esc ! %23 $ & 1 4 5 7 8 9 Q W R Y tab S F K caps lock C V shift fn comman control option command