The following data represent the results from an independent-measures study comparing two treatmentconditions.Treatment ResponseOne3.8One4.8One3.7One5.9One2.8Two3.7Two3.83.53.24.3TwoTwoTwoTreatment TreatmentOneTwo3.84.83.75.92.83.73.83.53.24.3Conduct ANOVA with a = 0.05 for this data and calculate the F-ratio and p-value. Round your answer tothree decimal places. Assume all population and ANOVA requirements are met.F-ratio: 0.7962p-value: 0.3983Now, conduct a t-test with a = 0.05 on the same data and calculate the t-statisitc and p-value. Roundyour answer to three decimal places.t-statistic: 0.863 Xp-value: 0.413

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Answered: The following data represent the…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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IIT UU I Use the following cell phone airport data speeds (Mbps) from a particular network. Find the percentile corresponding to the data speed 1.4 Mbps. 0.1 0.2 0.2 0.4 0.4 0.4 0.4 0.5 0.5 0.5 O 0.6 0.6 0.7 0.8 0.9 0.9 1.1 1.4 1.4 1.6 1.6 2.1 2.1 2.3 2.3 2.5 2.6 2.7 2.9 3.3 3.8 4.6 4.8 5.9 6.1 6.3 6.9 8.6 9.1 11.2 11.4 11.5 13.3 14.1 14.4 14.5 14.9 15.2 15.4 29.9 Percentile of 1.4 = (Round to the nearest whole number as needed.)
Answer Q.1
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The following data are from an independent-measures experiment comparing two treatment conditions: Treatment 1 Treatment 2 6 19 13 9 8 18 4 10 13 12 4 14 11 19 5 11 Which variables are described in this scenario and what are their scales of measurement? Which test should you use?
The following data represent the results from an independent-measures study comparing two treatment conditions. Treatment Two Treatment One 3.4 3.2 4.3 4.3 4.9 4.4 2.7 5.5 3.4 4.1 3.8 4.3 4.1 3.6 4.3 2.2 Conduct ANOVA with a = 0.05 for this data and calculate the F-ratio and p-value. Round your answer to three decimal places. Assume all population and ANOVA requirements are met. F-ratio: p-value: Now, conduct a t-test with a = 0.05 on the same data and calculate the t-statisitc and p-value. Round your answer to three decimal places. t-statistic: p-value:
For a repeated-measures study comparing two treatment conditions, a researcher obtains a sample of n = 10 difference scores with a mean of MD = 6 and a variance of s2 = 90. What is the value for the repeated-measures t statistic for these data? Select one: a. 7 b. 6 c. 2 d. 15
Choose the appropriate statistical test. When computing, be sure to round each answer as indicated. A dentist wonders if depression affects ratings of tooth pain. In the general population, using a scale of 1-10 with higher values indicating more pain, the average pain rating for patients with toothaches is 6.8. A sample of 30 patients that show high levels of depression have an average pain rating of 7.1 (variance 0.8). What should the dentist determine? 1. Calculate the estimated standard error. (round to 3 decimals). [st.error] 2. What is thet-obtained? (round to 3 decimals). 3. What is the t-cv? (exact value) 4. What is your conclusion? Only type "Reject" or Retain"
1. Interpret the data which has been presented in thr below Table 1 and Table 2.
Three brands of reducing pill were tried on a sample of 8 female adults. The data are given on the following table in terms of weight loss in pounds. Reducing Pll Used B Respondent A 4.5 3.2 3.0 2 4.1 3.0 2.8 3 3.6 38 3.2 4 53 3.9 3.6 4.8 4.2 3.5 27 3.1 3.5 43 4.0 29 3.8 3.3 36 Test the bypothesis that there is no signilicant difference in the average weight loss in pounds among the three groups of respondents using the three brands of reducing pills at 0.01 level
The following data represent the results from an independent-measures study comparing two treatment conditions. Treatment I II 10 7 N = 16 8 4 G = 120 7 9 ∑X² = 1036 9 3 13 7 7 6 6 10 12 2 M = 9.000 M = 6.000 T = 72 T = 48 SS = 44 SS = 56 Use an independent-measures t test with α = .05 to determine whether there is a significant mean difference between the two treatments. (Use three decimal places; subtract MIIII from MII.) t-critical = ± t = t Distribution Degrees of Freedom = 21 -3.0-2.0-1.00.01.02.03.0t Conclusion: Fail to reject the null hypothesis; there are significant differences between the two treatments. Reject the null hypothesis; there are significant differences between the two treatments. Fail to reject the null hypothesis; there are no significant differences between the two treatments. Reject the null hypothesis; there are…
The following data were obtained an independent-measures research study comparing three treatment conditions. Use an ANOVA with α = 0.05 to determine whether there are significant mean differences among the treatments. TREATMENT I II III 2 5 7 N = 14 5 2 3 G = 42 0 1 6 ∑X^2 = 182 1 2 4 2 2 T 12 10 20 SS 14 9 10
Suppose we want to compare scores (which can take on any value within a specified range) at baseline and at follow-up for a given sample. Using the data in the table below, compute a 95% CI for the mean difference in scores. Subject ID Baseline Follow-Up 1 13 6 2 10 8 3 9 11 4 12 11 5 8 5

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