A survey was conducted to investigate the relationship between gender (male and females) and sector of employment (private, government and academia). Using theinformation provided, does a relationship exist between gender and employment sector at the 5% significance level? If the Chi-square test statistics = 0.529, what conclusioncan be made?O A. Since Chi-square test statistics > Chi-square critical value, do not reject H0O B. Since Chi-square test statistics > Chi-square critical value, Reject HOO C. Since Chi-square test statistics < Chi-square critical value, do not reject H0O D. Since Chi-square test statistics < Chi-square critical value, Reject HO

We have to make conclusion for chi square test of independence.

Answered: A survey was conducted to investigate…

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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Table 3: Significant Influence between Management Capability of Administrators and Productivity of Employees Leadership Skills Productivity of Employees Beta t-value p-value Skills .624** 1.56 .000 Knowledge .456** 4.25 .000 Aptitudes .552** 4.22 .000 R2 =.639 Evalue=6.45 p value=.000 Present, analyze and interpret the data. Make inference at the end of your discussion
This research was conducted with Korean adolescents in the Los Angeles area. Would you be willing to generalize the results of this study to Korean adolescents who live in other regions of the country? Why or why not.
Describe a situation where you would use a test of significance on the difference between the means of two populations by stating a pair of populations composed of the same type of individuals and a quantitative variable on those populations. You may want to mention hypotheses, the sizes of samples from those populations, and the degrees of freedom of your test statistic.
An analysis of restaurant rating is being undertaken. A sample of restaurants was selected and rating levels (one to five stars) were recorded along with other basic characteristics such as type of food (eg, French, Italian, Asian Fusion, Rotisserie Grill, etc.), average cost of a meal, location, seating capacity etc. The goal was to assess differences in ratings given to restaurants with various business - oriented covariates. Briefly discuss what type of model you would use and why.
6) A researcher is interested in whether women like Justin Bieber's music more than men. The extent to which people liked Bieber's music was measured on a 10 point scale ranging from 1 = do not like at all, to 10 like Justin Bieber's music more than men (alpha = .05). very much like. Using the data below, please determine whether women Women Men 7 4 8 7 4 a) What type statistical analysis should you perform? Please explain your rationale b) Please state the null and alternative hypotheses c) Please write out the results (t-value, df, p-value) and make a decision d) Please make a general conclusion (no stats talk)
10) please solve all parts of the question correctly.
please answer quickly
A researcher was interested in whether there are differences in body image concerns between competitive vs. non-competitive athletes. Based on the forest plot below, what is your statistical conclusion? Difference in body image concerns between competitive and non- competitive athletes OA) Reject Ho Study Arroyo et al. (2008) Asci (2004) Benau et al., (2020) Di Bartolo & Shaffer (2002) Di Nucci et al, (1994) Filaire et al., (2007) Furnham et al, (1994) Hoag (2012) lacolino et al., (2017) Loosemore et al., (1989) Reinking & Alexander (2005) Robinson & Ferraro (2004) Souilliard et al., (2021) Souilliard et al., (2019) Warren et al, (1990) Wiggins & Moode (2000) Indicates lower levels of body image concerns among competitive athletes -2-1 C) Fail to Reject Ho HH Hedges g [95% CI) -0.54 (-1.08,-0.01] -0.26 [-0.40,-0.12] -0.28 [-0.53,-0.03] -0.69 (-0.97,-0.41] -1.01 [-1.52,-0.49] 2.29 [1.52, 3.06) -0.69 [-1.29,-0.09) 0.35 [0.12, 0.58]) -0.33 [-0.61,-0.05) 0.02 [-0.63, 0.67] -0.42 (-0.75,…
Use a 0.05 significance level to test the claim that males and females have the same mean BMI Male BMI n=80 * = 26.3 s = 5.4 Female BMI n=61 I = 28.4 s = 7.4
1. Are there any statistically significant differences between the patients assigned to the experimental treatment and placebo? Justify 2. Consider the comparison of treatments with respect to patient age. Run appropriate test using data.
Discuss the relationship between t-tests and ANOVA. Why is ANOVA preferred to multiple (4) t-tests when testing for differences between more than two groups?
According to the Centers for Disease Control and Prevention (CDC), the mean BMI of U.S. men of age 40–49 years old is 28.4 Using the provided sample data file, conduct a one-sample ?-z-test of a mean to test whether the mean BMI of men of age 40–49 years old who smoke daily is lower than 28.4. Conduct the ?-z-test at a significance level of ?=0.05 to test the null hypothesis, ?0:?=28.4, against the alternative hypothesis, ?1:?<28.4, where ?μ represents the mean BMI of U.S. men of age 40–49 who smoke daily. Assume that the population standard deviation of BMI, ?σ, is 8.346 The sample data provided contain BMI results collected from a 2015 survey conducted by the National Center for Health Statistics for men of age 40–49 who smoke daily. Calculate the sample mean, ?⎯⎯⎯x¯, for this data. Give your answer precise to at least one decimal place. Calculate the sample mean, ?⎯⎯⎯x¯, for this data. Give your answer precise to at least one decimal place. Compute the standard deviation, SD, of…

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