12.Does the extent to which college graduates want to changethe world differ by type of major? To find out, Pedro asks 33graduating seniors (11 humanities majors, 11 social science majors,11 natural science majors) to rate their desire to change the worldon a 7-point scale.Which statistical test should Pedro use to analyze the data?Be specific. 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)?Pedro runs the test and finds that F = 2.93. Whatshould Pedro conclude about whether college graduates' desire toobtchange the world differs by type of major?

From the problem, researcher aim is Aim : Whether the college graduates' desire to change the world…

Answered: 12. Does the extent to which college…

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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You wish to determine if there is a negative linear correlation between the age of a driver and the number of driver deaths. The following table represents the age of a driver and the number of driver deaths per 100,000. Use a significance level of 0.01 and round all values to 4 decimal places. Driver Age Number of Driver Deaths per 100,000 55 20 38 21 80 32 35 20 54 29 80 31 74 79 60 18 Ho: p = 0 Ha: p=0 Find the Linear Correlation Coefficient Find the p-value p-value = The p-value is Greater than o Less than (or equal to) a The p-value leads to a decision to Do Not Reject Ho Accept Ho Reject Ho The conclusion is There is a significant positive linear correlation between driver age and number of driver deaths. There is a significant negative linear correlation between driver age and number of driver deaths. There is a significant linear correlation between driver age and number of driver deaths. There is insufficient evidence to make a conclusion about the linear correlation between…
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1. A professor is interested in how attendance is related to grades her class. She goes through her records and determines each student’s final average and the number of days absent. The scores for her sample are given in the table below. a. Construct a scatter plot of the relationship between final averages and the number of days absent. b. Is there a significant relationship between final averages and the number of days absent? Calculate and interpret the correlation and report it in proper APA format. c. Compute r2 for the data. What percent of the variability in final averages is accounted for by the number days absent?
Given that Canada's population is primarily made up of young citizens, then the histogram would be? Is it symmetrical or asymmetrical? Is it skewed to the left or skewed to the right if asymmetric? Or is it impossible to determine? Explain. What if the majority of the population is elderly? Will the response be the same?
what is the predicted number of sleep hours for persons with 60 years of age?
The following table shows a sample dataset of observation values of an independent variable, Age, and a dependent variable, number of toys Age 5 3 6 3 4 4 6 8 Toys 13 15 7 12 13 11 9 5 What is the value of Toys when Age is 7 (round your answer without decimal)
(a) TV stations use ratings to decide which shows to keep or cancel. Therefore, the A. C. Nielsen Company collects data on the TV viewing habits of Americans and publishes the information in Nielsen Report on Television. Suppose that you want to use a paired sample to decide whether the mean viewing times of married men and married women differ: 1. Identify the variable. 2. Identify the two populations. 3. Identify the pairs. 4. Identify the paired-difference variable.
Consider full-time community college students as an observational unit. a) Come up with one categorical and one quantitative variable related to a full-time community college student. [You CANNOT use AGE, HEIGHT, GENDER, MAJOR]. b) Considering your categorical variable from part a), name three types of graphical displays you can use to represent that variable. c) Come up with one quantitative variable for a community college student that would have a distribution that is SKEWED RIGHT or SKEWED LEFT.
Bank of America's Consumer Spending Survey collected data on annual credit card charges in seven different categories of expenditures: transportation, groceries, dining out, household expenses, home furnishings, apparel, and entertainment. Using data from a sample of 42 credit card accounts, assume that each account was used to identify the annual credit card charges for groceries (population 1) and the annual credit card charges for dining out (population 2) Using the difference data, the sample mean difference was d = $850, and the sample standard deviation was så = $1,123. a. Formulate the null and alternative hypotheses to test for no difference between the population mean credit card charges for groceries and the population mean credit card charges for dining out. Ho : μα ♦ Select your answer - Ha d + - Select your answer - b. Use a = = 0.05 level of significance. Can you conclude that the population means differ? - Select your answer - ◆ What is the p-value? (to 6 decimals) c.…
1) The question screenshot attached down below answer all and just need final answer
11. A manager of a department times how many hours each person works within her department. 43 42 24 50 41 28 47 47 39 59 29 31 39 42 What is the mean and median of the data? Group of answer choices Mean = 40.1; Median = 41.5 Mean = 40.0; Median = 42.5 Mean = 40; Median = 42 Mean = 40.8; Median = 47
Shape of the distribution of data can be visually assessed using which plot(s)? a. boxplot b. histogram c. scatterplot d. all of the above Potential confounders are issue in the following type of study design. a. Observational cohort studies b. Case-control studies c. Both observational cohort and case-control studies Subjects are recruited to take part in a study examining the effect of a new therapy to aid with smoking cessation for persons who smoke cigarettes. If a subject is followed until he/she stops smoking, their survival time is: a. Censored b. Excluded from the analysis c. Uncensored d. Survival time is zero, since the subject had the event of interest

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