10.26 A partially completed ANOVA table for a completely ran- NW domized design is shown here: Source df SS MS F Treatments 6 18.4 Error Total 41 45.2 a. Complete the ANOVA table. b. How many treatments are involved in the experiment? c. Do the data provide sufficient evidence to indicate a difference among the population means? Test, using a = .10. d. Find the approximate observed significance level for the test in part c, and interpret it.
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- A test was conducted of two overnight mail delivery services. Two samples of identical deliveries were set up so that both delivery services were notified of the need for a delivery at the same time. The hours required to make each delivery follow. Do the data shown suggest a difference in the delivery times for the two services? Use a .05 level of significance for the test. Use Table 1 of Appendix B. Click on the datafile logo to reference the data. DATA file Service Delivery 1 2 24.5 26.0 28.0 21.0 18.0 36.0 25.0 21.0 24.0 26.0 31.0 28.0 25.5 32.0 20.0 19.5 28.0 29.0 22.0 23.5 29.5 30.0 What is the z-statistic? If required, round your answer to two decimal places. Enter negative values as negative number, if necessary. -.31 What is the p-value? If required, round your answer to two decimal places. .76 Conclude. 12345 7890:=Take Test: 4.5.Case Study x * Question Completion Status: Here is a link to a data set concerning three treatment groups: A, B, & C. In order to perform an ANOVA on the data to assess if A, B, and C are different, what assumptions must be met? Enter the number of all correct answer choices in numerical order separated by commas in the blank below. 1. The variance between the three groups must be equal. 2. The data in each group must be normally distributed. 3. The members of the sample populations were randomly chosen 4. The variance between each group must be unequal. 5. The variances of each group must overlap with the variance of at least one other group. Using the data analysis add in for Excel (installation deduce if A, B, and C are different. To do this, click the data analysis tool icon, then select "single factor ANOVA", enter the range of cells containing the data, and click okay. Excel will generate a results table you can use to answer the next two questions. structions can…What source of variation is found in an ANOVA summary table for a within subjects design that is not in an ANOVA summary table for a between subjects design. What happens to this source of variation in a between-subjects design?
- Is there a treatment that appears to be most effective in the sandy and dry region?Q: Using the data (provided below this question) apply ANOVA to determine if the mean response for value for the dollar is the same for different types of cell phones. Use a 5% significance level if the problem doesn’t give an alpha. Note: Please only provide the t stat, p-value, and critical value, no need to explain the whole process. Gender Carrier Type Usage Signal strength Value for the Dollar Customer Service M AT&T Smart High 5 4 4 M AT&T Smart High 5 4 2 M AT&T Smart Average 4 4 4 M AT&T Smart Very high 2 3 3 M AT&T Smart Very high 5 5 2 M AT&T Smart Very high 4 3 5 M AT&T Smart Very high 3 4 4 F AT&T Smart Very high 3 2 3 F AT&T Smart Very high 4 3 4 M AT&T Smart Very high 3 3 1 M Other Smart Average 1 2 4 M Sprint Smart Very high 3 5 4 M Sprint Smart Very high 3 5 3 F Sprint Smart Average 2 5 4 F Sprint Smart Average 3 5 4 M Verizon Smart Average 4 3 3 F Verizon Smart Very high 4 3 2 M Verizon…4. Answer the following. Feel free to use the Excel Demo from the course website called "alpha and beta". a. What happens to the probability of type IlI error as the difference between mu_0 and the actual mean increases? b. What happens to the probability of type II error as the sample size increases? C. How does changing the significance level effect the type Il error probability? -Accessibility: Good to go O Focus a AP hp
- (The output processed data is in the picture below) A company has four branch offices. At each branch office, the research was carried out using a random sample, then the data was processed using ANOVA with the following results: Based on the results of data processing, answer the following questions: a. What is the number of samples (N) used in the study?b. State the value for F-countc. Using the significance level or the Alpha (α) value 4%, test the hypotheses in the study and provide the conclusion.d. How do you think the conclusions of the research are?"Durable Press" cotton fabrics are treated to improve their recovery from wrinkles after washing. The treatment also reduces the strength of the fabric compared breaking strength of untreated fabric with that of fabrics treated by three commercial durable press processes. Is there evidence to support claim that the mean breaking strength of the different fabrics is different? Use a significance level of 0.05, One-way ANOVA: strength vs treat DF Source SS MS P 3 0.000 3722.90 83.89 Size 1240.97 236.68 Error 16 5.24 Total 19 3806.79 Null Hypothesis, HO Alternative Hypothesis, H1 Test Statistic, F P-value Significance level Conclusionhi, if you could help me with this problem that would be very helpful. thank you.