Which of the following statements about MVUE are necessarily true? I. An MVUE is a sufficient statistic. II. An MVUE has lower variance than any other estimator. O Only I is true. O Only II is true. O Both I and II are true. O Neither I nor II is true.

The following three independent random samples are obtained from three normally distributed populations with equal variance.  The dependent variable is starting hourly wage, and the groups are the types of position (internship, co-op, work study). Group 1: Internship Group 2: Co-op Group 3: Work Study 13 11 15 13.75 13.5 16 8.5 12.75 11 13.5 13.5 15.25 15 13.25 16.25 12.5 14.75 15.5 14.75 13.75 15 13.75 13 15 Use your statistical software package to conduct a one-factor ANOVA to determine if the group means are equal using α=0.01.  Though not specifically assessed here, you are encouraged to also test the assumptions, plot the group means, and interpret the results.Group means (report to 2 decimal places):Group 1: Internship:   Group 2: Co-op:   Group 3: Work Study:   ANOVA summary statistics:F-ratio = _______    (report accurate to 3 decimal places)p=_________     (report accurate to 4 decimal places)

The following three independent random samples are obtained from three normally distributed populations with equal variance.  The dependent variable is starting hourly wage, and the groups are the types of position (internship, co-op, work study). Group 1: Internship Group 2: Co-op Group 3: Work Study 10.75 12.5 8.5 9.75 10.25 12.5 11.5 13 15.25 10.75 14.25 14.5 11.25 10.5 14 10.5 11 15 13.75 12.75 11.75 11.5 12.5 15.75 11.75 12.75 12 13.25 13.75 14 12.75 14.25 12.25 Conduct a one-factor ANOVA to determine if the group means are equal using α=0.01α=0.01.  Group means:Group 1 mean:   Group 2 mean:   Group 3 mean:   ANOVA summary statistics:F-test statistic =      p=p=      Conclusion: The sample data suggests there is a correlation in the starting hourly wages. There is not sufficient data to conclude that at least one group's average starting hourly wage is different. The sample data suggests the starting hourly wages are dependent There is not…

4 4G I. moodle.unizwa.edu.om a | Quiz3 Time left 0:00:21 Question 3 Answer saved Marked out of 2.00 P Flag question Which one of the following choices describes a problem for which an analysis of variance would be appropriate? O A. Comparing the proportion of successes for three different treatments of anxiety. Each treatment is tried on 100 patients O B. Analyzing the relationship between high school GPA and college GPA O . Analyzing the relationship between gender and opinion about capital punishment (favor or oppose). O D. Comparing the mean birth weights of newborn babies for three different hospitals. O E. None of these Clear my choice Previous page Next page 1 2w-ANOVA(3) Jump to... Quiz navigation 7 +

The club owner was wondering whether all three comedians (enumerated COMEDIAN 1, 2, and 3) generated the same average ticket (TICKETSOLD) and beverage (BEVSOLD) sales. What do you tell them? You need to figure out the answer to the above question via: Perform the Shapiro-Wilk test of normality and Levene’s (equality of variances) test for TICKETSOLD and BEVSOLD. Write up all tests. Given what you figured out in part (a), which variable(s) may be used in an ANOVA? How do you know?  Perform the ANOVA with Tukey HSD post hoc test for variables suitable for an ANOVA. Write up the results. Create a 3-5 sentence response answering the owner’s question. Make sure you integrate the findings from parts (a)-(c) in your response. You may assume the owner possesses a knowledge of statistics equal to your own.                                                   The ANOVA Procedure   Dependent Variable: VARIABLE Source DF Sum of Squares Mean Square F Value Pr > F Model df…

Answer the following questions on the F test statistic. Complete parts (a) through (d) below. a. If s represents the larger of two sample variances, can the F test statistic ever be less than 1? O A. No, because the ratio will always be greater than 1. S1 2 $₁ O B. Yes, because the ratio will always be less than 1. $2 1 O C. No, because the ratio will always be greater than 1. $2 2 $2 O D. Yes, because the ratio will always be less than 1. 2 $1 b. Can the F test statistic ever be a negative number? O A. No, because sample variances cannot be negative, and the result of dividing the squares of two nonnegative numbers is never negative. O B. Yes, because the numerator and denominator used to calculate the F test statistic can both take on negative and positive values. O C. No, because sample variances are always negative and the result of dividing the squares of two negative numbers is never negative. OD. Yes, because scan take on values from - 1 to 1 inclusive. c. If testing the claim…

The following data are from a completely randomized design. In the following calculations, use a = 0.05. Treatment Treatment Treatment 2 3 64 82 69 47 71 53 54 87 60 35 64 46 50 76 57 2 148.67 108.67 96.67

5. About 8% of Americans drop out of high school. About 30% of Americans are republicans. Therefore, the probability of someone being both a high school drop out and voting republican is 2.4%. Group of answer choices Correlation does not imply causation Variables aren’t independent (A|B =/= B|A) Highly improbable events tend to get famous There will likely be a self-reporting bias Terrible Survey Design: Biased question Terrible Survey Design: Sampling technique Terrible Survey Design: Small sample size

Which of the following is not one of the assumptions made in the analysis of variance? O A. None of these O B. The different populations all have the same mean. O C. The different populations all have the same standard deviation o O D. The distribution of the response variable is a normal. O E. Each sample is an independent random sample.