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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2.In an experiment using systematic/controlled measures of behavior, how are you able to increase internal validity? How can this affect external validity? What is the correlation between internal validity and external validity in an experiment using systematic/controlled measures of behavior?
What is the test statistic and p-value? Because the P-value is ▼ greater less than the significance level 0.05, there ▼ is not is sufficient evidence to support the claim that there is a linear correlation between selling price (in hundred thousands) and the list price (in hundred thousands) of homes sold for a significance level of α=0.05.
question is attached below All parts need to be answered
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.
Salma claimed that the gas price in Blue Park neighborhood (mean of $3.65) is higher than that in Green Spring (mean of $3.59). She obtained the t-value of 2.223 after calculating data from 6 gas stations in Blue Park and 5 gas stations in Green Spring. Use the chart below and determine if Salma's claim is supported! Table 10-3. Critical values of "t" significance level p= 0.05 significance level p= 0.01 TP 1 12.706 63.657 2 4.303 9.925 3 3.182 5.841 2.776 4.604 5 2.571 4.032 6 2.447 3.707 7 2.365 3.499 2.306 3.355 9 2.262 3.250 10 2.228 3.169 11 2.201 3.106 Copy the following into your text box, fill in the blanks, and answer the questions A. The degree of freedom is: B. The t-calculated value is: and the t-critical value is : C. Comparison: t-calc t-crit (answer with ()) D. Is the null hypothesis accepted or rejected? Explain how you determined that! Also, explain what it means to reject or accept the hypothesis! E. Explain if Salma's claim is supported based on your t-value…
can someone help with this problem please? Thank you very much!
Is there a relationship between one’s gender and whether one owns a dog, cat, or reptile? Use the data provided in the table below to answer the following question. -Show all the relevant statistical output How do I enter this data in SPSS and which test do I run? I input one column for each level but I am so confused and my output is weird looking. Do I run the One Way ANOVA in order to be able to calculate the effect size? Dog Cat Reptile Row Totals Male 20 17 11 48 Female 25 23 5 53 Column totals 45 40 16 101
The U.S. Department of Transportation, National Highway Traffic Safety Administration, reported that 77% of all fatally injured automobile drivers were intoxicated. A random sample of 54 records of automobile driver fatalities in a certain county showed that 37 involved an intoxicated driver. Do these data indicate that the population proportion of driver fatalities related to alcohol is less than 77% in Kit Carson County? Use ? = 0.10. (a) What is the level of significance? (b) What is the value of the sample test statistic? (Round your answer to two decimal places.) c) Find the P-value of the test statistic. (Round your answer to four decimal places.)
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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