If we are testing an alternative hypothesis of Ha: p
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If we are testing an alternative hypothesis of Ha: p<p0, which of the following test statistics will give the smallest P-value?
a. -0.5
b. 1.1
c. -2
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- If Ashley wants to test for GPA differences among first-, second-, third-, and fourth-year college students, which of these difference tests should she use? a. chi square test of independence b. between-subjects, two-way ANOVA. c. chi square goodness of fit test d. between-subjects, one-way ANOVA.The following table represents a 2-factor experiment, with both factors A and B having two levels each. The numbers in each cell are the mean performance of participants' in each group after the experimental treatment. Note that one mean value is not given. What value of the missing mean would result in no interaction between factor A and factor B? O O O O 15 20 25 30 40 None of the above. B1 B2 A1 10 35 A2 5 ?Need help with this question. An image is provided.
- Consider the following data for this question B1 B2 A1 M = 10 M = 20 A2 M = 30 M = ? The above data, what value for the missing mean would result in no interaction between A and B? Select one: a. 20 b. 30 c. 10 d. 40The following table represents a 2-factor experiment, with each factor having two levels. The numbers in each cell represent the mean of participants' performance that were computed for each group after the experimental treatment. Note that one mean value is not given. What value of the missing mean would result in no main effect of factor A? O 12 17 19 21 O None of the above. B1 B2 A1 13 10 A2 ?Based on the following two tables, what conclusions can you draw? Contrast between the expected values and the observed values. H1: The gender and afraid to walk at night in your neighborhood are not independent variables. H0: The gender and afraid to walk at night in your neighborhood are independent variables.
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- Dr. Kijowski is concerned about student phone use, so she collects information on the number of text messages that each student sent on a particular day. The boxplot below shows the results. Based on the boxplot, which of the following is the most reasonable conclusion? a. There are more people with data values below the median than there are people with data values above the median. Selected:b. There are more people with data values between the first quartile and the median than there are people with data values between the median and the third quartile.This answer is incorrect. c. There are fewer people with data values between the first quartile and the median than there are people with data values between the median and the third quartile. d. There are approximately the same number of people with data values between the first quartile and the minimum as there are people with data values between the third quartile and the maximum. e. The data are less spread out between the…3. Can SAT scores predict college performance? Let x be a variable that represents SAT score of a computer science major, and let y be a variable that represents a student’s GPA upon graduation. A random sample of n =15 computer science majors provided their SAT scores and GPAs: x 1232 1070 1086 1287 1130 1048 1121 1095 1135 1208 1333 1160 1186 1243 1261 y 3.52 2.91 2.4 3.47 3.47 2.37 2.4 2.24 3.02 3.32 3.59 2.54 3.19 3.71 3.58 The scatter diagram for the SAT score and GPA is given below: (a) Find the sample correlation coefficient r. Truncate to two decimal places. What does the value tell you about the data? (b) Find the equation of the least squares line . Truncate to four decimal places. What does the slope mean? (c) Find the value of the coefficient of determination . Truncate to two decimal places. What does this number mean? (d) What is the predicted GPA if a computer science major got a…Tinder and Online Dating: Everything Up to the Pearson Coefficient Which statistical test could be used to determine if there was a relationship between the two variables, degree of narcissism and quality of jawline? a. z test b. single-sample t test c. paired-samples t test d. independent-samples t test e. one-way between-groups ANOVA f. one-way within-groups ANOVA g. two-way between-groups ANOVA h. Pearson Correlation Coefficient
