1. The data set LM10 in the following table are from an experiment that utilized a completely randomizeddesign.Treatment3.95.41.3SourceTreatmentErrorTotal2.42.00.7df(1)(6)(9)Response4.14.82.2(a) Complete the following ANOVA table (fill in all values in boxes 1 through 10).ANOVA TableSS(2)(7)(10)MS(3)(8)5.53.8F2.3p-Value(5)(b) Test the null hypothesis Ho: #₁ = 2 = 3 versus the alternative hypothesis H₁: at least onepair of means differ. Draw your conclusion using a = 0.1.

Treatment T1 T2 T3 3.9 5.4 1.3 2.4 2.0 0.7 4.1 4.8 2.2 5.5 3.8 2.3 3.5 The data…

Answered: 1. The data set LM10 in the following…

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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Five samples of a ferrous-type substance were used to determine if there is a difference between a laboratory chemical analysis and an X-ray fluorescence analysis of the iron content. Each sample was split into two subsamples and the two types of analysis were applied, with the accompanying results. Assuming that the populations are normal, test at the 0.01 level of significance whether the two methods of analysis give, on the average, the same result. Click here to view the sample analyses. Click here to view page 1 of the table of critical values of the t-distribution. Click here to view page 2 of the table of critical values of the t-distribution. Let sample 1 be the X-ray fluorescence results and let sample 2 be the laboratory chemical results. State the null and alternative hypotheses. Ho: HD %3D H1: HD Identify the critical region. Select the correct choice below and fill in the answer box(es) to complete your choice. (Round to three decimal places as needed.) A. t> В. t
The data below are from an independent-measures experiment comparing three different treatment conditions regarding attention scores. Treatment 1 Treatment 2 Treatment 3 0 2 4 0 3 2 0 1 4 3 3 3 0 2 4 0 1 4 n = n = n = N = T = T = T = G = 36 M = M = M = k = ∑X2 ∑X2 ∑X2 ∑X21,2,3 = 114 SS = SS = SS = Explain why an ANOVA should be used instead of a series of t tests to evaluate the mean differences among the three treatment conditions. Use an analysis of variance (ANOVA) with α = .05 to determine whether these data indicate any significant mean differences among the treatment conditions. State the hypothesis using symbols and words. Find critical region. Find degrees of freedom: Total Between…
Consider the following ANOVA table below. Some parts are blank intentionally. The number of observations is 249. Source Model (Regression) Residual (Error) Total The MSE is: SS 1,332 DF MS 921 Round your answer to two decimal places.
You have data drawn from a normal distribution with a known variance of 16. You set up the following NHST: • Ho: data follows a N(2, 4²) • HÃ: data follows a N(µ, 4²) where µ ‡ 2. Test statistic: standardized sample mean z. Significance level set to a = .05. You then collected n = 16 data points with sample mean 1.5. (a) Find the rejection region. Draw a graph indicating the null distribution and the rejection region. (b) Find the z-value and add it to your picture in part (a). (c) Find the p-value for this data and decide whether or not to reject Ho in favor of HA.
Tourism is extremely important to the economy of Florida. Hotel occupancy is an often-reported measure of visitor volume and visitor activity (Orlando Sentinel, May 19, 2018). Hotel occupancy data for February in two consecutive years are as follows. Current Year 1,394 1,700 Occupied Rooms Total Rooms a. Formulate the hypothesis test that can be used to determine whether there has been an increase in the proportion of rooms occupied over the one-year period. Let p₁ = population proportion of rooms occupied for current year P2 = population proportion of rooms occupied for previous year 0.82 Previous Year 1,404 1,800 Ho: P1 P2 less than or equal to 0 Ha P₁ P2 greater than 0 b. What is the estimated proportion of hotel rooms occupied each year (to 2 decimals)? Current year Previous Year c. Conduct a hypothesis test. What is the p-value (to 4 decimals)? Use Table 1 from Appendix B. 0.78

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