Elina has measured the heights (in cm) of 800 adults from Chile, 400women and 400 men. She wants to investigate whether the averageheight is equal between the two sexes and performs a two-sidedMann-Whitney test in Minitab with the following output:Methodn₁: median of Height_Womenn₂: median of Height_MenDifference: n₁-n₂Descriptive StatisticsSample N MedianHeight Women 400 153.569Height Men 400 164.330Estimation for DifferenceDifference Cl for Difference-11.0108 (-12.9966, -9.05963)AchievedConfidence95.00%TestHạn - nz = 0Null hypothesisAlternative hypothesis H₁: ₁-₂0W-Value P-Value126052.00 0.000(a) Use the Minitab output provided to write the Results section of astatistical report. Round the numbers to two decimal places whilereporting.(b) Use the information and Minitab output provided to write theDiscussion section of a statistical report.

The Minitab results are obtained as-W-valuep-value1260520.0000

Answered: Elina has measured the heights (in cm)…

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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Cartons of Plaster are supposed to weigh exactly 32 ounces. Inspectors want to develop process control charts. They take five samples of six (5) boxes each and weigh them. Sample means (X-bar) are: 33.8, 34.6, 34.7, 34.1, and 34.2 respectively. Also, the corresponding ranges are: 1.1, 0.3, 0.4,0.7, and O.3, respectively. The lower and upper control limits of the R-chart are respectively O a. None is correct O b. O and 1.18 Oc. 0.03 and 1.18 Od. Oand 0.15 O e. 0.01 and 1.13
Everest auto industry produces bearing for Mahindra Motor Corporation. The precision of radius of bearing is very important for its successful functioning. To check the variability in the bearing radius, the company randomly selected ten bearings and measured the radius, the result of which is as shown in the table below. #no Nominal radius (cm) #no Nominal radius (cm) 1 2.70 6 2.59 2 2.65 7 2.73 3 2.75 8 2.64 4 2.55 9 2.88 5 2.76 10 2.83 Calculate the sample standard deviation for the above data. Construct a box plot and check whether there is any outlier data in the data distribution. Based on the comparison between the mean and the quartile, identify the shape of the data distribution. Calculate the 65th percentile and interpret the result. What is the range of the data distribution? Explain its meaning.
Please see below. I am only given one attempt at this problem; please help. Marc takes a random sample of 14 dogs from the local animal shelter and weighs them. He obtains the following data: 9 25 32 40 41 45 47 50 53 53 62 79 94 106 What is the third quartile (Q3) for this data? Use the method from the book and videos, not Minitab.
The table below displays the coronary artery disease data. The response, presence of coronary artery disease (CA), is dichotomous. The explanatory variables are sex and electrocardiogram (ECG) measurement. Sex ECG Disease No Disease Total Female Low 4 11 15 Female High 10 18 Male Low 18 Male High 21 27 Calculate the Mantel-Haenszel's estimate of the common odd-ratio value between ECG and coronary artery disease status. Round the value to the second decimal place. For example, 2.3414 would be 2.34.
Glaucoma is a leading cause of blindness in the United States, N. Ehlers measured the difference in corneal thickness (in microns) between the two eyes of eight patients. Each patient had one eye that had glaucoma and one eye that was normal. The difference was measured as the corneal thickness of normal eye – corneal thickness of eye with Glaucoma. Corneal thickness is important because it can mask an accurate reading of eye pressure. Use ? = .05. Hypothesis: H0: μd=0Ha: μd≠0 Using output Test statistics : t=0.134P value=0.897 Degrees of freedom (df): df=7 Level of significance: α=0.05 Decision: P value > 0.05 thus we fails to reject null hypothesis. Question a)Write a report summarizing your findings. When writing the report consider that medical staff estimate that a difference of 4.5 microns or more could impact on their ability to interpret eye pressure correctly. b) Define for the hypothesis stated in part b) what a type 1 error and type 2 error would mean. Is it possible…
Only answer the questions typed: A. indicate whether it's one or two sidedB. Indicate whether it's a test of means or proportionsC. Write out the expression for determining the P-value
e) Suppose that the 3rd quartile is equal to 46. How much data is located above 46? Why?
To test whether the mean time needed to mix a batch of material is the same for machines produced by three manufacturers, the Jacobs Chemical Company obtained the following data on the time (in minutes) needed to mix the material. Compute the values below (to 2 decimals, if necessary). Sum of Squares, Treatment Sum of Squares, Error a. Use these data to test whether the population mean times for mixing a batch of material differ for the three manufacturers. Use a = 0.05. Mean Squares, Treatment 0000 Mean Squares, Error Calculate the value of the test statistic (to 2 decimals). 1 17 23 21 19 What conclusion can you draw after carrying out this test? - Select your answer - Manufacturer 2 28 26 31 27 + 3 18 17 21 20 The p-value is - Select your answer - What is your conclusion? - Select your answer - b. At the a = 0.05 level of significance, use Fisher's LSD procedure to test for the equality of the means for manufacturers 1 and 3. Calculate Fisher's LSD Value (to 2 decimals).
he General Social Survey asked the question, "After an average work day, about how many hours do you have to relax or pursue activities that you enjoy?" to a random sample of 1,155 Americans. The average relaxing time was found to be 1.65 hours. G. What is D. What is the statistic given? Describe it in words and give the numerical value. E. Describe the parameter corresponding to the statistic from Part (D) in words.

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