alpha of .05, do you reject the null hypothesis? Explain.C4. Suppose we used General Social Survey data to examine the relationship betweeneducational attainment (RDEGREE: 0 = less than bigh school, 1 = high school degree, 2 = somecollege%3D%3Dor more) and the variable HELPPOOR, which measures support of the statementuhat the government in Washington should do everything possible to improve thestandard of living of all poor Americans. The obtained chi-square is 40.43. Based on analpha of .05, do you reject the null hypothesis? Explain. helppoor SHOULD GOVT IMPROVE STANDARD OF LIVING? * RDegree RecodedDegree CrosstabulationCountRDegree Recoded Degree1.002.00Total.006532127301 GOVT ACTIONhelppoorSHOULDGOVTIMPROVE324179STANDARDOF LIVING?1531263113 AGREE WITHBOTH324.6.56581205 PEOPLE HELP146935118SELVESTotal883752927552.

C4. The obtained chi-square is 40.43, and alpha is 0.05.

Answered: C4. Suppose we used General Social…

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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Also, using α = .05, run a two-tail t-test for one sample to test Ho: µ=283 for the 2009 scores. Report the t-obt, df, and p-values. Would you reject the null hypothesis that the 2009 scores come from a population with average 283? If this is the case, does it come from a population from larger or smaller average?
The vice-president of administration wonders whether employees are taking adequate amounts of vacation time. Employee burnout is a concern. Research suggests that an employee taking less than 1.4 weeks of vacation annually is very likely to experience burnout. Analyze the employee vacation data and conduct a hypothesis test with the following results: t = 2.93p = 0.0084 What reasons should the vice-president provide to the president to justify the recommendation on employee burnout? Based on the data, is the presence of employee burnout an issue that may negatively impact the company?
In the picture there is a given data and based from that data. There is no significant difference between the perceived level of riskiness of thrill behavior in males and in females. (Use a= 0.05) Identify the Null hypothesis and Alternative Hypothesis
A clinical psychologist is interested in testing whether serial killers are more introverted than the general population. A sample of 9 serial killers serving life sentences was tested and found to have a sample mean introversion score of 41 and s= 6.8. If the population mean (µ) is 36, are serial killers significantly different from the normal population? (Use an alpha level or .05 two-tailed.) (Show all work) Using an alpha level of .05, determine whether his sample was significantly different from population. (Hint: you do NOT know the population SD): Type of test: Obtained value: Df: Conclusion:
The NAEP considers that a national average of 283 is an acceptable performance. Using α = .05, run a two-tail t-test for one sample to test Ho: µ=283 for the 2019 scores. Report the t-obt, df, and p-values. Would you reject the null hypothesis that the 2019 scores come from a population with average 283? If this is the case, does it come from a population from larger or smaller average?
A car company claims that their Super Spiffy Sedan averages 31 mpg. You randomly select 8 Super Spiffies from local car dealerships and test their gas mileage under similar conditions. You get the following MPG scores: MPG: 30 28 32 26 33 25 28 30 Does the actual gas mileage for these cars deviate significantly from 31 (alpha = .05)?
A study on the effects of color on easing test anxiety compared anxiety test scores of participants who completed a test printed on either soft yellow paper or harsh green paper. The scores for the 10 participants who completed the yellow and the 10 participants who completed it on the green paper are below (Table 5). Using an alpha level of .05, do participants who use the yellow paper report lower test anxiety than those who wrote it on the harsh green paper? -use formulas not excel
A two-sample t-test for a difference in means was conducted to investigate whether there is a statistically significant difference in the average amount of fat found in low-fat yogurt and the average amount of fat found in nonfat yogurt. With all conditions for inference met, the test produced a test statistic of t=2.201 and a p-value of 0.027. Based on the p-value and a significance level of α=0.05, which of the following is the correct conclusion? Reject the null hypothesis because p<α. The difference in the average amount of fat found in low-fat and nonfat yogurt is not statistically significant. A Reject the null hypothesis because p<α. The difference in the average amount of fat found in low-fat and nonfat yogurt is statistically significant. B Fail to reject the null hypothesis because p<α. The difference in the average amount of fat found in low-fat and nonfat yogurt is not statistically significant. C Fail to reject the null…
A two-sided t-test for a population mean is conducted with H0:  = 80. If a 99 percent t-interval constructedfrom the same sample data contains the value of 80, which of the following can be concluded about thehypothesis test at significance level of  = 0.01?
A nationwide study of undergraduate students reported that the mean number of drinks consumed per week during the spring semester is 7.96. The mean number of drinks consumed per week at USC is 7.64 (s.d.=2.55, N=412 Health services is concerned that USC students are consuming significantly more alcohol per week than the national average. Using an alpha level of .05, Is there sufficient evidence to be concerned? Be sure to select the correct critical value for the alternative hypothesis, and then use this evidence to make your conclusion
In hypothesis testing, the common level of significance is a = 0.05. Some might argue for a level of significance greater than 0.05. Suppose that web designers tested the proportion of potential web page visitors with a preference for a new web design over the existing web design. The null hypothesis was that the population proportion of web page visitors preferring the new design was 0.50, and the alternative hypothesis was that it was not equal to 0.50. The p-value for the test was 0.20. a. State, in statistical terms, the null and alternative hypotheses for this example. b. Explain the risks associated with Type I and Type II errors in this case. c. What would be the consequences if you rejected the null hypothesis for a p-value of 0.20? d. What might be an argument for raising the value of a? e. What would you do in this situation? f. What is your answer in (e) if the p-value equals 0.12? What if it equals 0.06?
You are testing the null hypothesis that there is no linear relationship between two variables, X and Y. From your sample of n=18,you determine that b1=4.6 and Sb1=1.9. c. Based on your answers to (a) and (b), what statistical decision should you make? d. Construct a 95% confidence interval estimate of the population slope, β1.

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