= Conclusion:Fail to reject the null hypothesis; there is no significant relationship between gender and willingness to seek mental health assistance. Fail to reject the null hypothesis; there is a significant relationship between gender and willingness to seek mental health assistance. Reject the null hypothesis; there is no significant relationship between gender and willingness to seek mental health assistance. Reject the null hypothesis; there is a significant relationship between gender and willingness to seek mental health assistance. Compute Cramér’s V to measure the size of the effect.Cramér’s V = Research has demonstrated strong gender differences in teenagers' approaches to dealing with mental health issues (Chandra & Minkovitz, 2006). In atypical study, eighth-grade students are asked to report their willingness to use mental health services in the event they were experiencing emotionalor other mental health problems. Typical data for a sample of n = 150 students are shown in the following table.A-ZWillingness to Use Mental Health ServicesProbably NoMaybeProbably YesMales17321160Females13433490307545n = 150Do the data show a significant relationship between gender and willingness to seek mental health assistance? Test with a = .05.bongoChi-Square DistributionDegrees of Freedom = 160 1 2 3AAN4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30x2 x2-criticalx2bongoConclusion:Fail to reject the null hypothesis; there is no significant relationship between gender and willingness to seek mental health assistance.Fail to reject the null hypothesis; there is a significant relationship between gender and willingness to seek mental health assistance.Reject the null hypothesis; there is no significant relationship between gender and willingness to seek mental health assistance.Reject the null hypothesis; there is a significant relationship between gender and willingness to seek mental health assistance.Compute Cramér's V to measure the size of the effect.Cramér's V =Save & ContinueContinue without savingII

Introduction: The factor gender has 2 levels, Males and Females, and the factor “Willingness to Use…

Answered: x²-critical Conclusion: Fail to reject…

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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Identify the conclusion for this hypothesis test. O A. Fail to reject Hn. There is not sufficient evidence to warrant support of the claim that more than 20% of users develop nausea. B. Fail to reject Ho- There is sufficient evidence to warrant support of the claim that more than 20% of users develop nausea. C. Reject Hg. There is sufficient evidence to warrant support of the claim that more than 20% of users develop nausea. O D. Reject Ho. There is not sufficient evidence to warrant support of the claim that more than 20% of users develop nausea.
Medical research has shown that repeated wrist extensions beyond 20 degrees increase the risk of wrist and hand injuries. Each of 24 students at a university used a proposed new computer mouse design, and while using the mouse, each student's wrist extension was recorded. Data consistent with summary values given in a paper are given here. 27 22 29 24 27 27 25 25 24 24 24 25 28 25 24 28 27 26 31 25 28 27 27 25 USE SALT (a) Use these data to estimate the mean wrist extension for people using this new mouse design using a 90% confidence interval. (Round your answers to three decimal places.)
(a) Write the claim mathematically and identify H0 and Ha. (b) Find the standardized test statistic z, and its corresponding area. (c) Find the P-value. (d) Decide whether to reject or fail to reject the null hypothesis. (e) Interpret your decision in the context of the original claim.
Suppose we are making predictions of the dependent variable y for specific values of the independent variable x using a simple linear regression model holding the confidence level constant. Let Width (C.I) = the width of the confidence interval for the average value y for a given value of x, and Width (P.I) = the width of the prediction interval for a single value y for a given value of x. Which of the following statements is true? Width (C.I) = 0.5 Width (P.I) Width (C.I) = Width (P.I) Width (C.I) > Width (P.I) Width (C.I) < Width (P.I)
A hypothesis test on a regression coefficient fails to reject the null hypothesis at the 5% significance level. This means:
A sociologist wishes to study whether the rank attained by officers in the New York City Police Department (NYPD) is related to gender. Data have been collected for both male and female officers in NYPD. The summary data and test for independence results from StatCrunch are given below. At a= 0.05 level of significance, draw a conclusion about whether these data indicate that the rank of the officer is independent of gender.(a) Is this an observational study or experiment?(b) What are the explanatory and response variables, respectively?Explanatory variable:Response variable:(c) Write down the null and alternative hypotheses of the test for independence.Contingency table results:Rows: RANKColumns: GENDER male female total officer 21900 4281 26181 detective 4058 806 4864 sergeant 3898 415 4313 lieutenant 1333 89 1422 captain 359 12 371 higher ranks 218 10 228 total 31766 5613 37379
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The total expenses of a hospital (dependent variable) are related to many factors. One of these factors is the number of admissions to the hospital (independent variable). Using the summary output below to answer, what is the meaning (analysis) of the coefficient of determination? SUMMARY OUTPUT Multiple R R Square Adjusted R Square Standard Error Observations ANOVA Regression Statistics Regression Residual Total df 0.98706 0.974288 0.972145 8.106794 Coefficients 14 1 12 13 SS 29883.07 788.6412 30671.71 Standard Error Intercept 1.518053 Admissions 0.668591 OA) is the value of Expenses with one unit increase in Admissions 3.248929 0.031354 MS 29883.07 65.7201 t Stat 0.467247 21.32375 F 454.7022 P-value 0.648693 6.59E-11 Significance F 6.59E-11 Lower 95% -5.56075 0.600276 Upper 95% 8.59686 0.736907
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	=	Conclusion: Fail to reject the null hypothesis; there is no significant relationship between gender and willingness to seek mental health assistance. Fail to reject the null hypothesis; there is a significant relationship between gender and willingness to seek mental health assistance. Reject the null hypothesis; there is no significant relationship between gender and willingness to seek mental health assistance. Reject the null hypothesis; there is a significant relationship between gender and willingness to seek mental health assistance. Compute Cramér’s V to measure the size of the effect. Cramér’s V =