Rejecting the null hypothesis when the research hypothesis is false is? a. Effect size b. Power c. A type
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- A community college institutional researcher wants to analyze a data set with age (in years) predicting years spent in school. What inferential statistical procedure is appropriate for this study? Chi-square test for independence (2-way contingency table) Regression O One-sample z-test for mu (because sigma is known) O One-sample t-test Chi-square goodness-of-fit test Two-group t-test OZ-test for two proportions O One-way ANOVA O Correlation OZ-test for one proportion O Matched-pairs t-test Suemit Question MacBook Air esc F6 tab caps lock shift F1 Q A alt @ 2 Z F2 W S 20 # 3 F3 X E H $ LA 4 D F4 R с % 5 FO F5 T Y & 7 F7 G V B H * U EIdentify the type I error and the type II error that correspond to the given hypothesis. The percentage of adults who have a job is less than 88%. dentify the type I error. Choose the correct answer below. A. Fail to reject the null hypothesis that the percentage of adults who have a job is less than 88% when the percentage is actually equal to 88%. B. Reject the null hypothesis that the percentage of adults who have am jobm is equal to 88% when that percentage is actually equal to 88%. C. Fail to reject the null hypothesis that the percentage of adults who have a job is equal to 88% when that percentage is actually less than 88%. D. Reject the null hypothesis that the percentage of adults who have a job is less than 88% when that percentage is actually less than 88%. Identify the type II error. Choose the correct answer below. A. Reject the null hypothesis that the percentage of adults who have a job is less than 88% when that percentage is actually less…Test the claim that the proportion of men who own cats is significantly different than the proportion of women who own cats at the 0.2 significance level. The null and alternative hypothesis would be: Ho: M = μF Ho: PM = PF H₁:µm > µF H₁:PM > pF Ho: PM = PF H₁:PMA researcher is interested in investigating whether living situation and pet ownership are dependent. The table below shows the results of a survey. Frequencies of Living Situation and Pet Single Family Couple Dog 87 81 95 Cat 118 70 100 Various 34 46 57 None 60 57 46 What can be concluded at the αα = 0.10 significance level? What is the correct statistical test to use? Independence Goodness-of-Fit Paired t-test Homogeneity What are the null and alternative hypotheses?H0:H0: The distribution of pets is not the same for each living situation. Pet ownership and living situation are independent. Pet ownership and living situation are dependent. The distribution of pets is the same for each living situation. H1:H1: Pet ownership and living situation are independent. The distribution of pets is not the same for each living situation. Pet ownership and living situation are dependent. The distribution of pets is the same for each living situation. The…Raw data in the table below come from an independent-measures experiment comparing three different treatment conditions. Treatment 1 0 1 0 3 X=1 Treatment 2 1 4 1 2 X=2 Should you reject or fail to reject the null hypothesis? O Reject O Fail to reject Treatment 3 3 3 4 5 X=3.75 To evaluate the effect of the independent variable, researchers conducted the independent-measures one-way ANOVA. They computed the sum of squares between groups to be 15.5 and the sum of squares within groups 14.75.Test the claim that the mean GPA of night students is larger than 2 at the 0.10 significance level. The null and alternative hypothesis would be: Họ :p = 0.5 Họ:µ = 2 Ho:u 0.5 Ho:p 2 H1 :p + 0.5 H1:µ # 2 H1:µ > 2 H1:p 0.5 H1:µ < 2 The test is: left-tailed right-tailed two-tailed Based on a sample of 25 people, the sample mean GPA was 2.02 with a standard deviation of 0.05 The test statistic is: (to 2 decimals) The p-value is: (to 2 decimals) Based on this we: Reject the null hypothesis Fail to reject the null hypothesisThe hypothesis that suggests that an experimental treatment has no effect on a dependent variable would be known as the __________ hypothesis. reliability alternative statistical null validityTest the claim that the mean GPA of night students is larger than 2.6 at the 0.01 significance level. The null and alternative hypothesis would be: Ho:p > 0.65 Ho:p 2.6 H1:p 0.65 H1:p+ 0.65 H1:µ > 2.6 H1:µ + 2.6 H:µ < 2.6 %3D The test is: two-tailed right-tailed left-tailed Based on a sample of 65 people, the sample mean GPA was 2.63 with a standard deviation of 0.07 The test statistic is: (to 2 decimals) The p-value is: (to 2 decimals) Based on this we: O Fail to reject the null hypothesis O Reject the null hypothesisTest the claim that the mean GPA of night students is smaller than the mean GPA of day students at the 0.025 significance level. The null and alternative hypothesis would be: Ho: HN S HD Ho:pN 2 PD Ho:PN = PD Ho:UN = HD Ho: PN HD H:PN PD H1: µN Next Question hpA hypothesis test on a regression coefficient fails to reject the null hypothesis at the 5% significance level. This means:5. ANOVA calculations and rejection of the null hypothesis The following table summarizes the results of a study on SAT prep courses, comparing SAT scores of students in a private preparation class, a high school preparation class, and no preparation class. Use the information from the table to answer the remaining questions. Treatment Number of Observations Sample Mean Sum of Squares (SS) Private prep class 50 610 122,500.00 High school prep class 50 600 127,400.00 No prep class 50 590 139,650.00 Using the data provided, complete the partial ANOVA summary table that follows. (Hint: T, the treatment total, can be calculated as the sample mean times the number of observations. G, the grand total, can be calculated from the values of T once you have calculated them.) Source Sum of Squares (SS) df Mean Square (MS) Between treatments Within treatments ANOVA summary tables typically have a "Total" row not included in the partial table you just completed. Which of the following is a possible…Pearson’s correlation is the only statistical test that can measure the relationship between two variables. a. True b. False A strong correlation indicates there is a cause-and-effect relationship between two variables. a. True b. False Within a hypothesis test, estimated standard error provides a measurement of which of the following: a. The typical amount of sampling error expected when the null hypothesis is true b. The typical mean expected when the null hypothesis is true c. The typical amount of sampling error expected when the null hypothesis is false d.The typical mean expected when the null hypothesis is falseSEE MORE QUESTIONS
