The following five independent random samples are obtained from five normally distributed populations with equal variances. The dependent variable is the number of bank transactions in 1 month, and the groups are five different banks.
Group 1 | Group 2 | Group 3 | Group 4 | Group 5 |
16 | 16 | 2 | 5 | 7 |
5 | 10 | 9 | 8 | 12 |
11 | 7 | 11 | 1 | 14 |
23 | 12 | 13 | 5 | 16 |
18 | 7 | 10 | 8 | 11 |
12 | 4 | 13 | 11 | 9 |
12 | 23 | 9 | 9 | 19 |
19 | 13 | 9 | 9 | 24 |
Use SPSS to conduct a one-factor ANOVA to determine if the group means are equal using alpha = .05. Test the assumptions, plot the group means, consider an effect size, interpret the results, and write an APA style summary.
After performing the analysis in SPSS, we found that there is significant difference in groups of mean because the p-value or sig. Value in one way factor ANOVA is 0.023 which is less than the level of significance 0.05 therefore we reject the null hypothesis and conclude that there is significant difference in means of the groups.
Yhe normality assumption is fulfilled by the data as the test for normality test like shapiro wilk and kolmogorov smirnov p-value insignificant i.e. 0.164 and 0.099 respectively which is greater than 0.05 therefore we fail to reject the null hypothesis and conclude that the data is normally distributed.
The group means are found in group1 is 14.5, group2 11.5, group3, 9.5, group4, 7 and group5, 14. The groups mean are also plotted in the bar graph. The highest mean is found in group1 whereas the lowest in group4.
The effect size is found from the ANOVA table between the group is 4 and within the group is 35.
The following five independent random samples are obtained from five normally distributed populations with equal variances....
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 11.75 15.75 10.75 10.75 13 13.5 14.5 12.25 10.75 12 12 12.5 12.75 9.25 11.75 13.75 10.5 10.25 Do not forget to convert this table from parallel format (i.e., groups in each column) to serial...
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 13.25 12.75 14.25 13.5 11.5 11.75 14.5 14.75 12.5 11.5 9.25 13.75 16 11 12.5 14.5 12.75 12.5 12.25 11 12 Use technology to conduct a one-factor ANOVA to determine if the group means are...
The following information was obtained from independent random samples. Assume normally distributed populations with equal variances. Sample 1 Sample 2 Sample Size 10 12 Sample Mean 52 51 Sample Variance 85 90 We are interested in testing H0: μSample 1 - μSample 2 = 0 Ha: μSample 1 - μSample 2 ≠ 0 Step 1 of 3: What is the value of the test statistic? Round your answer to four decimal places.
Consider the following data for two independent random samples taken from two normal populations with equal variances. Find the 80% confidence interval for µ1 - µ2. sample 1: 11, 5, 12, 9, 6, 8 sample 2: 11, 9, 8, 13, 14, 11 what are the left and right endpoints?
The information below is based on independent random samples taken from two normally distributed populations having equal variances. Based on the sample information, determine the 98% confidence interval estimate for the difference between the two population means. n = 12 X1 = 57 S1 = 9 n2 = 11 X2 = 54 S2 = 8 The 98% confidence interval is $(11-12) (Round to two decimal places as needed.)
For four populations, the population variances are assumed to be equal. Random samples from each population provide the following data. Population Sample Size Sample Mean Sample Variance 1 11 40 23.4 2 11 35 21.6 3 11 39 25.2 4 11 37 24.6 Using a .05 level of significance, test to see if the means for all four populations are the same.
13. If the populations are normally distributed and the population variances are equal but unknown, the tstatistic for testing the hypotheses about the difference between the two population means using samples of size 20 and 30 has a degree of freedom equal to ___. A. 48 B. 50 C. 19 D. 29
Consider the following data for two independent random samples taken from two normal populations with equal variances. Find the 80% confidence interval for u1 and u2. Sample 1: 7, 4, 10, 10, 6, 11 Sample 2: 13, 16, 10, 9, 13, 14 What is the left endpoint and right endpoint? Please explain in detail.
The following information was obtained from independent random samples. Assume normally populations with equal Sample 1 Sample 2 12 Sample Size 10 Sample Mean 52 Sample Variance 85 We are interested in testing Hai sample 1 -Hsample 2 0 Step 2 of 3: Determine the p-value for the test. TablesKeypad Answer 1 Point Next Prev O p-value c 0.025 0.025< p-value <0.05 Op-value <0.1 。p-value > 0.2 None of the above o 2019 8 3 of 3 The following information...
The information below is based on independent random samples taken from two normally distributed populations having equal variances. Based on the sample information, determine the 95% confidence interval estimate for the difference between the two population means. n1 14 x145 n2 13 2 47 The 95% confidence interval is s (μ1-12) s Round to two decimal places as needed)