a=0.1, level of significance. Use two-tailed test 4. In an attempt to compare the performance of students with more than one personal electronic gadgets and those with no or only one personal electronic gadget, The mean grade in one term and the standard deviation are shown in the table: Students with personal electronic gadgets 0-1 >1 Mean x₁ = 83 x₂ = 79 Standard Deviation Mean S₁= 10 S₂ = 14 X₁ = 83 X2 = 79 Is there a significant difference in the mean grades of students with one or no personal electronic gadget and those with more than one personal electronic gadgets? @ a = 0.05 and two-tailed test. 5. Perform Exercise no. 2, assuming one-tailed test, @a= 0.01 and n₁ = 15. Students with personal electronic gadgets 0-1 >1 sample Standard Deviation n₁ = 12 m2=12 Si= 10 S₂= 14 n₁ =15 1₂ = 12

Does more education lower a person’s level of prejudice? The number of years of education and the score on a prejudice test for ten people is given in the following table. Higher scores on the test indicate more prejudice.   Years of Education: 12, 15, 14, 13, 18, 10, 16, 12, 10, 4 Score of Prejudice Test: 1, 6, 2, 3, 2, 4, 1, 5, 5, 10   Conduct a hypothesis test to determine if there is a significant linear correlation between the two variables. If there is a significant linear correlation between the variables, determine the regression equation.  There is a significant correlation between the variables and the regression equation is y' = 10.5 - 0.532x  There is a significant correlation between the variables and the regression equation is y' = - 0.532 + 10.5x  There is not a significant correlation between the variables, so the regression equation should not be determined.  There is a significant correlation between the variables and the regression equation is y' = 16.509 - 1.054x

The critical value in a hypothesis test   Multiple Choice   depends on the value of the test statistic.   is calculated from the sample data.   separates the acceptance and rejection regions.   usually is .05 or .01 in most statistical tests.

I need the test static, critical value , null & alternative hypothesis , conclusion & also probably p value Thankyou so much I need help kn working these out.

A study of seat belt users and nonusers yielded the randomly selected sample data summarized in the accompanying table. Use a 0.05 significance level to test the claim that the amount of smoking is independent of seat belt use. A plausible theory is that people who smoke are less concerned about their health and safety and are therefore less inclined to wear seat belts, Is this theory supported by the sample data? BB Click the icon to view the data table. Determine the null and alternative hypotheses. O A. Ho: The amount of smoking is dependent upon seat belt use. H₁: The amount of smoking is not dependent upon seat belt use. O B. Ho: Heavy smokers are not less likely than non-smokers to wear a seat belt. H₁: Heavy smokers are less likely than non-smokers to wear a seat belt. OC, Ho: Heavy smokers are less likely than non-smokers to wear a seat belt. H₁: Heavy smokers are not less likely than non-smokers to wear a seat belt. O D. Ho: The amount of smoking is independent of seat belt…

Describe two advantages a repeated measures t-test has over an independent sample t -test study design. Give an example of a study where a repeated measures design would be appropriate

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