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.

Weight loss: In a study to determine whether counseling could help people lose weight, a sample of people experienced a group-based behavioral intervention, which involved weekly meetings with a trained interventionist for a period of six months. The following data are the numbers of pounds lost for  14  people. Assume the population is approximately normal. Perform a hypothesis test to determine whether the mean weight loss is greater than  13  pounds. Use the  =α0.05  level of significance and the  P -value method with the TI-84 Plus calculator. 21.2 27.5 6.5 22.8 20 11.5 16.2 19.7 36.3 32.5 11.1 34.8 22.4 17.9 Send data to Excel Part: 0 / 5 0 of 5 Parts Complete   Part 1 of 5     (a) State the appropriate null and alternate hypotheses.   H0 :  =μ13 H1 :  >μ13 This hypothesis test is a ▼right-tailed test.…

An agricultural experiment considered the effects of K2O (potash) on the breaking strength of cotton fibers. Five K2O levels were used (36, 54, 72, 108, 144 lbs/acre). A sample of cotton was taken from each plot, and a strength measurement was taken. a. Complete the ANOVA table b. Test if there is difference between the mean strength based on Potash levels.

Is there a treatment that appears to be most effective in the sandy and dry region?

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 Conclusion

hi, if you could help me with this problem that would be very helpful. thank you.

Software was used to conduct a one-way ANOVA to determine if the means are equal using a = 0.10. Summary Statistics: Work Study Co-op Internship ANOVA Table: Source Within Mean Standard Deviation Total 13.0633 14.3633 15.231 SS df 118.6151 46 149.1028 48 Work Study vs. Co-op 0.5005 Work Study vs. Internship Co-op vs. Internship 2.2051 0.6029 MS Between 30.4877 2 15.2439 5.9117 0.005189 2.5786 -2.237 X F 14.3633 X Sample Size Perform a Bonferroni test to see which means are significantly different. Round your answers to three decimal places, and round any interim calculations to four decimal places. Hint: Since this post-hoc testing follows an ANOVA, we retain the assumption of equal variances. Hint: Make sure to use Bonferroni's adjustment. Hint: Since this post-hoc testing follows an ANOVA, we retain the assumption of equal variances. Hint: Make sure to use Bonferroni's adjustment. Hint: Since this post-hoc testing follows an ANOVA, we retain the assumption of equal variances. Hint:…

1a. Should post-hoc tests be run if a researcher has failed to reject the null hypothesis for an ANOVA? Explain why or why not. 1b. The total variability in an ANOVA contains which two subtypes of variability?