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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- What is meant by the sample space of an experiment?What are the p-values using the same information from the completed ANOVA table?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.…
- Answer this question using the One-Way ANOVA with Equal Sample Sizes: Weights (kg) of poplar trees were obtained from trees planted in a sandy and dry region. The trees were given different treatments identified in the table below. Use a 0.05 significance level to test the claim that the four treatment categories yield poplar trees with the same mean weight. Is there a treatment that appears to be most effective in the sandy and dry region? (Show the solution) No Treatment Fertilizer Irrigation Fertilizer and Irrigation 0.60 1.16 0.65 0.22 1.11 0.93 0.08 2.13 0.07 0.30 0.62 2.33 0.07 0.59 0.01 1.74 0.44 0.17 0.03 0.12To help assess the health risks of second-hand smoke, the levels of cotinine (a metabolite of nicotine) were measured in mmol/l in the urine of seven subjects prior to exposure to second-hand smoke and shortly after a two-hour exposure to secondary cigarette smoke. Did the exposure significantly increase the cotinine level? What will be the appropriate statistical analysis to use in this problem? a. z-Test for Comparing Two Means from Independent Populations b. t-Test for Comparing Two Means when the Samples are Dependent c. z-test for comparing the difference between two proportions d. t-Test for Comparing Two Means from Independent Samples e. F-test in Comparing the Difference Between Two VariancesIs 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 ConclusionA Registered Nurse prospects two locations for a new HomeCare Facility.A study was conducted and focused on the number of elderly in both areas. The sample data are given below: Dasmariñas Imus n = 25 n= 30 x̄1 = 245 x̄2 = 438 sd1 = 103 sd2 = 79 Test the claim that the characteristic mean indices in Dasmariñas are less than the mean indices in Imus. Use 0.05 significance level to test the claim.In a one-way ANOVA, assume you have three treatments with n1 = 5, n2 = = 6, and n3 = 5. If you use a 5% significance level, what would the rejection region for this test be? a. F > 3.81 Ob. F> 3.68 O C. F> 3.63 Od. F> 4.08 O HH ho