You wish to test the following claim (H) at a significance level of a=Ho: M1 = μ2Ha: ₁ < 2You obtain the following two samples of data.Sample #169.7 89.2 54.1 71.968.7 102.5 93.6 76.678.6 63.8 64.3 82.771.9 62.7 83.5 63.858.7 70.6 89.2 95.876.3 74.3 67.671.968.761.6 73.780.865.272.2 76.97870 63.871.378∞ ∞=Sample #27775.3 80.9 78.983.4 73.3 84.9 83.281.885.28370.283.667.2 90.893.790.390.382.270.271.872.482.287.9 79.5 73.388.688.2 72.175.16593.767.283.869.787.6828779.877.676.2 81.192.884.780.4 80.289.883.8 72.1 81.177.691.3 91.3 85.274.472.7 85.677.278.365 75.1∞ ∞: 0.05.What is the test statistic for this sample? (Report answer accurate to three decimal places.)test statisticWhat is the p-value for this sample? For this calculation, use the degrees of freedom reportedfrom the technology you are using. (Report answer accurate to four decimal places.)p-value

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Answered: You wish to test the following claim…

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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The frequency distribution of scale categories for a 7-point off- flavor scale follows: Category Frequency 1 (none) 75 86 3 93 4 74 5 60 6 36 7 (very strong) 21 1. What is the rational origin of the foregoing 7-point scale? 2. Scale the categories using Guilford's method and interpret the results. Also find Guilford's adjusted scores. Detemine the mean and the standard deviation of the estimated category scale. 3.
You wish to test the following claim (HaHa) at a significance level of α=0.002α=0.002. Ho:μ1=μ2Ho:μ1=μ2 Ha:μ1<μ2Ha:μ1<μ2You obtain the following two samples of data. Sample #1 Sample #2 41.9 43.9 54.4 59.3 65.1 75.1 47.8 53.5 49.7 66.3 62.1 49.1 28.1 42.8 56.4 43.6 35.6 38.1 38.1 58.2 40.2 42.8 57.1 53.5 64 48.4 28.1 28.1 51.3 54.4 44.7 61.3 41.1 51.3 51.3 66.3 75.1 47.5 60.4 48.4 34.8 37.5 54.4 39.2 43.2 55.1 33.2 34 61.7 57.4 36.3 50.3 37.5 40.6 41.1 60.8 56.8 61.3 42.3 40.7 45.1 53.6 40 56.2 42.8 50.4 57.4 53.4 60.7 61 68.1 55.6 55.1 53.6 49.9 53.2 65.7 49.5 52.8 45.4 54.5 58.9 58.9 50.8 60.1 54.3 66.4 56.2 51.3 53.4 52.3 52.3 64.6 53.4 53.6 55.8 64.1 46.6 57.9 48 59.8 58.9 64.6 54.1 47.7 63.6 59.5 54.7 50.6 What is the test statistic for this sample? (Report answer accurate to three decimal places.)test statistic = What is the p-value for this sample? For this calculation, use the…
You wish to test the claim that the first population mean is not equal to the second population mean at a significance level of α=0.02 . Ho:μ1=μ2 Ha:μ1≠μ2 You obtain the following two samples of data. Sample #1 Sample #2 67.1 64.2 32.7 49.0 63.8 54.8 63.5 54.1 65.6 54.8 40.5 58.7 39.4 43.1 72.5 73.1 70.2 71.2 68.1 73.1 79.7 67.3 66.5 61.7 62.9 76.5 What is the test statistic for this sample?test statistic = Round to 3 decimal places. What is the p-value for this sample?p-value = Use Technology Round to 4 decimal places. The p-value is... less than (or equal to) α greater than α This test statistic leads to a decision to... reject the null accept the null fail to reject the null As such, the final conclusion is that... There is sufficient evidence to warrant rejection of the claim that the first population mean is not equal to the second population mean. There is not sufficient…
In 1908, William Gosset published the article "The probable Error of a Mean" under the pseudonym of "Student". He included the data listed below for two different types of corn seed that were used on ad jacent plots of land. The listed values are the yields of head corn in pounds per acre. Use a 0.10 significance level to test the claim that the mean difference in yield between the two types of seed is 0. Regular 1903 1935 1910 2496 2108 1980 2060 1444 1612 1316 1511 Kiln dried 2009 1915 2011 2463 2180 1925 2122 1482 1542 1443 1535 a. Define the parameter A. mu Subscript d Baseline equals Mean of (Regular yield - Kiln dried yield) B. mu Subscript d Baseline equals Mean of the Regular yield C. mu Subscript d Baseline equals Mean of the Kiln dried yield D. mu equals Mean yield b. State the null and alternative hypotheses…
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"
You wish to test the following claim (Ha) at a significance level of a = 0.01. H₂:μ₁ = μ₂ Ha:μι > με You obtain the following two samples of data. Sample #1 Sample #2 60 50.1 91.5 89.8 56 44.8 85.6 93.4 58.4 83.8 106.9 73.9 44.8 78.1 70.8 37.7 63.5 82.7 71.7 34.7 90.6 67.7 66.8 61.6 65 65.9 77.6 61.1 111.7 106.9 51.8 88.3 69 80.5 78.1 62.6 99.7 64.5 67.2 52.6 71.2 75.3 76.2 96.8 70.8 49.2 46.1 111.7 51.8 The p-value is... mlm What is the test statistic for this sample? (Report answer accurate to three decimal places.) test statistic = 66.2 63.3 60 63.1 61.3 75 62.3 63.3 69.4 57.9 71.2 68.4 74.7 70.6 65.1 68.5 75.8 78.4 73.1 58.6 59.1 66 71.5 67.2 67.3 69 70.9 68.9 73.1 64.4 66.9 71.2 65.6 68.7 60.7 65.3 76.3 74.7 70.1 65.6 59.6 68.2 67.2 69.7 68.9 65.4 66.2 65.6 65.1 62.5 0.7 60.4 68.9 76.8 65.6 76.3 64.7 55.6 71.7 69.7 64.2 72.9 What is the p-value for this sample? For this calculation, use the degrees of freedom reported from the technology you are using. (Report answer accurate to…
Use the following sample to evaluate H0: μ = 65, at significance level α = 0.05. 53 75 68 53 57 12 4 10 45 94 23 73 9 41 79 92 90 46 49 71 State the correct test and your conclusion. T-test. Reject Ho. T-test. Fail to reject Ho. Z-test. Fail to reject Ho. Z-test. Reject Ho.
You wish to test the following claim (Ha) at a significance level of =0.01. Ho:μ1=μ2 Ha:μ1≠μ2You obtain the following two samples of data. Sample #1 Sample #2 102.7 70.5 101.6 113.4 79 96 76.5 89.9 79.8 101.6 109.9 71.6 77.6 83.5 75.4 87 106.7 82.1 94.7 88.1 91.1 91.6 91.4 99 96.4 70.5 92.5 111.4 103.2 93.4 80.2 107.6 113.4 101.6 71.6 106.7 88.4 82.5 84.8 94.4 76.5 70.5 100.2 91.9 100.7 67.8 89.6 97.8 89 90.5 67.8 106.7 74 78.1 93.1 91.9 85.8 105.2 81.4 91.4 80.6 87.9 106.9 109.4 102.4 60.4 104.9 89.5 72.4 84.9 84.5 97.4 77.1 72.9 92.7 100.3 94 81.1 79.2 104 84.2 83 86 89.5 64.9 93.6 84.9 87.1 105.8 90.2 66.6 94.9 89.5 74.9 92.3 88.3 83.8 64 68.1 91.9 80.7 83.8 85.6 99.1 93.1 89.1 90.2 94 64.9 71.8 105.8 96.9 84.2 75.3 86 56.9 112.9 84.5 96.9 What is the test statistic for this sample? (Report answer accurate to three decimal places.)test statistic = What is the p-value for this…
M. 山 Find the standardized test statistic, z, to test the claim that p, < P2. The sample statistics listed below are from independent samples. n = 550, x, = 121, and n, = 690, x, = 195 %3D O A. 1.116 O B. -2.132 OC. -2.513 O D. -0.985 P Type here to search 59 F5 F9 F11 %23 3. 5. 6. 8. A G H. B. N Alt
What percentage of scores should fall within ±1 SD for TADHD? Choices: 1. A higher percentage of scores than fell within ±1 SD for ADHD 2. A lower percentage of scores than fell within ±1 SD for ADHD 3. The same percentage of scores that fell within ±1 SD for ADHD What is true of a score of 65.55 for TADHD? Choices: 1. It falls within –1.5 SD of the mean and is thus unlikely to be due to chance 2. It falls within 1.5 SD of the mean and is thus unlikely to be due to chance 3. It falls outside –1.5 SD of the mean but is likely to be due to chance 4. It falls outside 1.5 SD of the mean but is likely to be due to chance

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