Based on the Cl for the difference you see in this figure, you know that inthe NHSTapproach:Interview Interest14121062BMaleMyFemaleMwwwA20Difference-2-4O This is a statistically significant result, p < 0.05, reject the null.O This is not a statistically significant result, p > 0.05, fail to reject the null.O Both of the above.ONo conclusions can be drawn about the NHST approach-this approach donot apply to paired designs.

The graph shows a horizontal line at the value of 0, representing no difference between the two…

Answered: Based on the Cl for the difference you…

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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The hypothesis should revolve around one of the variables collected for all subjects. Your results section should describe the general course of one subject’s response from your individual analysis and then evaluate your hypothesis for a specific collective variable. Please explain this in plain english. I dont understand the instructions. Here is a reference of the subjects.
A study was done to look at the relationship between number of lovers college students have had in their lifetimes and their GPAs. The results of the survey are shown below. Lovers 0 3 1 2 5 1 8 GPA 3.3 2.9 3.4 3.3 2.5 2.8 0.7 1. The p-value is: _____ (Round to four decimal places) 2. Use a level of significance of α=0.05 to state the conclusion of the hypothesis test in the context of the study (pick one). a. There is statistically significant evidence to conclude that there is a correlation between the number of lovers students have had in their lifetimes and their GPA. Thus, the regression line is useful. b. There is statistically significant evidence to conclude that a student who has had more lovers will have a lower GPA than a student who has had fewer lovers. c. There is statistically insignificant evidence to conclude that a student who has had more lovers will have a lower GPA than a student who has had fewer lovers. d. There is statistically insignificant…
Which of the following is not a cause of perfect multicollinearity? Select all that apply. One of the explanatory variables is equal to half of another explanatory variable for 100% of the observations in the sample. The correlation between two of the explanatory variables is 1.00. One of the explanatory variables is equal to half of another explanatory variable for 20% of the observations in the sample. A dummy variable for male is included at the same time as a dummy variable for non-male. One of the regressors is X and another regressor is X².
None
Question 3 7 pts An investigator wishes to test the hypothesis that "blondes have more fun." To investigate, he develops the Subjective Report of Fun Scale (high scores indicate more fun), selects 13 brunettes at random and administers the SRFS to them. He then bleaches all 13 subjects' hair blonde, waits two weeks, and administers the SRFS again. Data are below. Do blondes have more fun? Brunettes Blondes 70 47 57 61 65 57 58 58 62 56 52 60 51 50 56 63 73 51 65 60 63 64 66 61 83 71 State the null and alternative hypotheses. (1) Ho: Ha: b) Specify the degrees of freedom. (1) df = c) Calculate the test statistic (3) What type of t-test is this? What was your obtained value of t? d) Given that tcrit for a=.05 is 1.782, what should the researcher conclude? State your conclusions statistically and in terms of the research question. (2) Statistical statement Conclusion in words ThinkCentre No new data to cove Last checked
Give answer from the choice and explain it as given in image. Note:hand written solution not allowed.
You wish to test the following claim (Ha) at a significance level of a = 0.02. For the context of this problem, 44 = PostTest - PreTest where the first data set represents a pre-test and the second data set represents a post-test. (Each row represents the pre and post test scores for an individual. Be careful when you enter your data and specify what your 4i and u2 are so that the differences are computed correctly.) H.:Hd = 0 0 + Prl : "H You believe the population of difference scores is normally distributed, but you do not know the standard deviation. You obtain the following sample of data: pre-test post-test 44.8 52.3 47.6 44.1 56.6 51.2 50.4 54.8 55.4 58.9 38 44.1 32.1 36 41.7 52.6 36.9 45.9 50.8 55 52.5 65.8 35.7 38.5 39.3 30.8 36.4 33.4 53.7 60 What is the test statistic for this sample? test statistic = (Report answer accurate to 4 decimal places.) What is the p-value for this sample? p-value = (Report answer accurate to 4 decimal places.) The p-value is... O less than (or…
You wish to test the following claim (Ha) at a significance level of a = 0.02. For the context of this problem, d PostTest – PreTest where the first data set represents a pre-test and the second data set represents a post-test. (Each row represents the pre and post test scores for an individual. Be careful when you enter your data and specify what your x1 and x2 are so that the differences are computed correctly.) H.: Hd Ha: Hd + 0 %3| You believe the population of difference scores is normally distributed, but you do not know the standard deviation. You obtain the following sample of data: pre-test post-test 50.8 42.8 57.6 46.5 59.5 52.9 62.4 49.2 57.5 55.8 52.3 54.3 62.2 49.7 58.5 56.7 61.1 60.3 60.8 54.5 65.1 64 62.9 59 55.9 49.3 60.9 51.1 64.4 62.9 50.8 41.3 59 56.4 56.1 49 66 54 60.1 52.9 62.1 59.9 55.6 46.8 56.5 53 60.3 55 55 48.4 What is the test statistic for this sample? test statistic = (Report answer accurate to 4 decimal places.)
If the null hypothesis is true in a test of the Pearson’s correlation between X and Y, then __________. a. higher scores of X are paired with higher scores of Y b. none of mentioned here c. higher scores of X are paired with low and high scores of Y d. higher scores of X are paired with lower scores of Y e. lower scores of X are paired with higher scores of Y
This is the step1, so step 2 and step 3 must be answered. (Step 2: Test Statistic -Pearson's r correlation coefficient AND Step 3: Critical Values ) so based it from the photo. Show COMPLETE SOLUTIONS. The table shows the number of hours spend by 30 students in studing and their test scores. Solve for the Pearson’s r and interpret the results. Use 5% significance level. Step 1: Null and Alternative Hypothesis Ho: r = 0; There is no significant relationship between the number of hours spent studying and the students test scores. Ha: r ≠ 0; There is a significant relationship between the number of hours spent studying and the students test scores.

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