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 11.5 9.25 17.5 10.75 14.5 11.5 11.5 12 11 12 11.75 16 12.5 10.5 12.25 11 10.5 13 10.5 10.25 11.5 12 12.75 12.25 12 10.75 12.25 Use technology to conduct a one-factor ANOVA to determine if the group means are equal using α=0.01 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) Conclusion: The sample data suggest the average starting hourly wages are not the same. There is not sufficient data to conclude the starting wages are different for the different groups.

The type of household for the U.S. population and for a random sample of 411 households from a community in Montana are shown below. Type of Household Percent of U.S. Households Observed Number of Households in the Community Married with children 26%         96             Married, no children 29%         118             Single parent 9%         37             One person 25%         95             Other (e.g., roommates, siblings) 11%         65             Use a 5% level of significance to test the claim that the distribution of U.S. households fits the Dove Creek distribution. (a) What is the level of significance? State the null and alternate hypotheses. H0: The distributions are the same.H1: The distributions are the same.   H0: The distributions are the same.H1: The distributions are different.       H0: The distributions are different.H1: The distributions are the same.   H0: The distributions are different.H1: The distributions are different. (b) Find the…

The type of household for the U.S. population and for a random sample of 411 households from a community in Montana are shown below. Observed Number of Households in the Community Percent of U.S. Type of Household Households Married with children 26% 110 Married, no children Single parent One person Other (e.g., roommates, siblings) 29% 101 32 25% 98 11% 70 Use a 5% level of significance to test the claim that the distribution of U.S. households fits the Dove Creek distribution. (a) What is the level of significance? State the nul and alternate hypotheses. O Ho: The distributions are different. H: The distributions are the same. O Hg: The distributions are the same. H: The distributions are different. O Hg: The distributions are the same. H: The distributions are the same. O Hg: The distributions are different. H: The distributions are different. (b) Find the value of the chi-square statistic for the sample. (Round the expected frequencies to two decimal places. Round the test…

The Analysis of Variance. A research study compared beer consumed daily between 3 groups with 3 observations each. Group1 was UCB, Group 2 UCSD, and Group 3 UCI. Determine if there is a significant difference among the groups 5% level. Group1: UCB Group 2: UCSD Group 3: UCI The Results of this study are in the following table:                     Group1                           Group2                                    Group3 Sample         3, 4, 5                                3.2, 4, 4.2                             3, 4, 3.3 Mean           4.0                                    3.7                                         3.4 S^2               4.4                                    5.2                                         6.1   null and alternative hypotheses are Null hypothesis Ho :  There is a significant difference among the treatment group means  Alternative Hypothesis Ha : At least one group mean is different from other group means the average mean due to treatments are…

Listed below are amounts of arsenic in samples of brown rice from three different states. The amounts are in micrograms of arsenic and all samples have the same serving size. The data are from the Food and Drug Administration. Use a 0.05 significance level to test the claim that the three samples are from populations with the same mean. Assume that the  distributions for each state are normal and that all variances are equal.   Arkansas       4.8    4.9   5.0     5.4   5.4    5.4    5.6    5.6   5.6   5.9   6.0    6.1 California.     1.5     3.7    4.0    4.5   4.9    5.1     5.3    5.4   5.4   5.5   5.6    5.6 Texas.           5.6     5.8    6.6    6.9.  6.9    6.9    7.1     7.3    7.5    7.6   7.7     7.7

A sample of the monthly amounts spent for food by families of four receiving food stamps approximates a symmetrical distribution. The sample mean is $150 and the variance is $400. Using the Empirical Rule, about 95 percent of the monthly food expenditures are between what two amounts? Select one: $85 and $105 Ob. $205 and $220 O $110 and $190 Od. $100 and $200