Step 9(b) Use Fisher's LSD procedure to test whether there is a significant difference between the means for treatments A and B, treatments A and C, and treatments B and C. Use α = 0.05.A hypothesis test for the population of treatment means can lead to the conclusion that not all the population means are equal, but it does not indicate which population means may differ. Fisher's least significant difference, LSD, procedure can be used topinpoint where these differences occur.The test statistic will be calculated as the absolute value of the difference between two sample means, x₁ - x;. This test statistic will be compared to the value of LSD, the formula of which is given below. The variable t/2 is based on a t distribution withn, - k degrees of freedom with a significance level of a, MSE is the mean square error, n, is the number of observations for population i, and n, is the number of observations for population j./ MSE (171, + 121,)LSD = ta/2VA significance level of a = 0.05 was specified, sota/2 = 490233X= 0.025. This will be the upper tail area of the t distribution with n - k = 12 degrees of freedom. Use technology to find t/2/ rounding the result to three decimal places.

When there are more than two groups that have to compare about mean then the test used is ANOVA. It…

Answered: (b) Use Fisher's LSD procedure to test…

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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When testing any experimental hypothesis, why is it important that the test you use to measure the outcome be both reliable and valid
If you test the (one sample) null hypothesis that the population proportion p ≤ 0.3 and you get the test statistic value of z = -0.98, then using a 5% ignificance level, Group of answer choices the alternative hypothesis looks believable. the null hypothesis looks believable. the null and alternative hypotheses both look believable. none of the above.
3. A drug considered unsafe if more than 5% of the patients develop serious side effects. In order to study the safety of a new drug, a Company tests the following null and alternative hypotheses. H :T 0.05: Discuss the type I and Type II error in this situation. Is this a good test? Explain. a
A survey was conducted to study the height of people from IBRI and NIZWA. The results are shown here. The researcher is interested to examine is there a significant difference between the average height of people of the two places at a=0.05. Write the hypothesis and evaluate t-test value only. [Assuming the population variances are equal and use 2-decimal places].
If a treatment is expected to decrease scores on a variable for which the mean is expected to be µ = 50, what is the null hypothesis?
The city council is considering a law that would ban smoking in all public facilities. A sample has been selected from the community and tested for support of the ordinance. Is there a statistically significant relationship between age and support for the anti-smoking law? Use the five-step model in making the hypothesis test and write a sentence or two interpreting your results. Use α = .05. Support For Against Total Less than 40 145 103 248 More than 40 Total Age 78 223 169 272 247 495
DiabetesA group of 10-year-old boys were first ascertained in acamp for diabetic boys. They had their weight measuredat baseline and again when they returned to camp 1 yearlater. Each time, a serum sample was obtained from whicha determination of hemoglobin A1c (HgbA1c) was made.HgbA1c (also called glycosylated hemoglobin) is routinelyused to monitor compliance with taking insulin injections.Usually, the poorer the compliance, the higher the HgbA1clevel will be. The hypothesis is that the level HgbA1c isrelated to weight. The data in Table 11.28 were obtained.11.92 What test can be performed to assess the relationship between weight and HgbA1c at the initial visit?11.93 Please perform the test in Problem 11.92, and reporta two-tailed p-value.11.94 Do the results in Problem 11.93 imply a relationshipbetween change in HgbA1c and change in weight for anindividual boy? Why or why not?11.95 Compute a rank correlation between change inweight and change in HgbA1c, each over 1 year. Use this…
Polyunsaturated fatty acids in the diet favorably affect several risk factors for cardiovascular disease. The principal dietary polyunsaturated fat is linoleic acid. Suppose we randomly selected twelve adults for our study. We took their blood pressure measurements (systolic blood pressure) at the start and recorded them for each adult. Then we placed required these adults to consume 23g/day of safflower oil which is high in linoleic acid for four weeks. At the end of the four weeks, we took another systolic blood pressure(SBP) measurement. The paired data is provided below: Subject 1 2 3 4 5 6 7 8 9 10 11 12 Baseline SBP 119.67 100.00 123.56 109.89 96.22 133.33 115.78 126.39 122.78 117.44 111.33 92.39 1-month SBP 117.33 98.78 123.83 107.67 95.67 128.89 113.22 121.56 126.33 110.39 107.00 93.06 Use the appropriate nonparametric test at alpha level of 0.05, to test whether the diet heavy in linoleic acid increases systolic blood pressure (SBP).
The Crude Mortality Rate in Community A was higher than the Crude Mortality Rate in Community B, but the Age-Adjusted Mortality Rate was higher in Community B than in Community A. What does this information indicate? * O The investigators made a calculation error. No inferences can be made about the comparative age of the populations from these data. O The population of Community B is, on the average, older than that of Community A. O The population of Community A is, on the average, older than that of Community B.
Q4
Why is the empirical rule useful?
(Please explain what I was doing wrong)

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