1. There are four competing treatments- A, B, C, and D applied to four independentgroups- underweight, Normal weight, Overweight, and obese. The result is their bloodpressure shown below. Test whether there is a statistically significant difference inmean systolic blood pressures among the four groups.NormalWeightUnderOverTreatmentWeightWeightObeseA95110120120B100115100120110100120130D1201201401302. Because of changes in the commercial landscape, the manager of the companyconducted research using 3 strategies in marketing operations. The recorded sales ineach strategy are shown below. Is there enough statistical evidence that sales aredifferent between strategies?GROUP 1 GROUP 2 | GROUP 38390788792778590867884957988919392869383847887847094828095833. Three methods of cure for Covid-19 patients are compared in terms of duration ofeffects. The results are summarized in the following table. Is there enough statisticalevidence that duration is different between methods?Method A Method B Method C304036365448373639453544222044

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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 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.
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. Manufacturer 1 2 3 25 34 15 31 32 14 29 37 18 27 33 17 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. Sum of squares, treatment = Sum of squares, error = Mean squares, treatment = mean squares, error = Calculate the value of the test statistic (to 2 decimals). The P-value is: Less than 0.01, between 0.01 and 0.025, between 0.025 and 0.05, between 0.05 and 0.10, greater than 0.10 What is your conclusion? 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. What conclusion can you draw after carrying out this test?
Refer to the data presented in Exercise 2.86. Note that there were 50% more accidents in the 25 to less than 30 age group than in the 20 to less than 25 age group. Does this suggest that the older group of drivers in this city is more accident- prone than the younger group? What other explanation might account for the difference in accident rates?
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Johnson and Leone describe an experiment to investigate the warping of copper plates. The two factors studied were temperature and the copper content of the plates. The response variable was a measure of the amount of warping. The data are as follows: Temperature (°C) 50 75 100 Copper Content (%) 40 60 80 100 17 20 12 9 16 12 21 17 21 16 24 21 18 13 18 21 ZZFEHERRE 23 22 27 17 27 31 30 23 29 31 12 25 23 23 28 22 125 Source: Applied Statistics and Probability for Engineers, 6th Edition, Douglas, C. Montgomery & George, C. Runger. 1. Draw and interpret the interaction plot. ii. Is there any significant interaction between the factors? Use a = 0.05. ii. Can your interpretation in (i) be validated in (ii)? Twelve plants are randomly
Listed below are pulse rates (beats per minute) from samples of adult males and females. Find the mean and median for each of the two samples and then compare the two sets of results. D there appear to be a difference? Male: Female: 86 71 54 84 57 95 53 89 53 63 59 82 53 91 88 72 68 85 87 90 91 88 70 92 77 63 94 82 86 64 Find the means. The mean for males is 71.9 beats per minute and the mean for females is 80.6 beats per minute. (Type integers or decimals rounded to one decimal place as needed.) Find the medians. The median for males is 71 beats per minute and the median for females is 85 beats per minute. (Type integers or decimals rounded to one decimal place as needed.) Compare the results. Choose the correct answer below. OA. The mean and median appear to be roughly the same for both genders. OB. The mean and the median for males are both lower than the mean and the median for females. OC. The mean and the median for females are both lower than the mean and the median for males.…
Listed below are pulse rates (beats per minute) from samples of adult males and females. Find the mean and median for each of the two samples and then compare the two sets of results. Does there appear to be a difference? Male: Female: 86 71 54 84 57 95 53 89 53 63 59 72 68 85 87 90 91 88 70 92 77 63 82 53 91 88 94 82 86 64 Find the means. The mean for males is ☐ beats per minute and the mean for females is (Type integers or decimals rounded to one decimal place as needed.) beats per minute.
Q.Jarjout et al conduct a study in which they measured bronchalveolar lavage (BAL) fluid histamine levels in subjects with elergic rhinitis,subject with asthama and normal volunteers .One of the measurement obtained was the total protein in BAL samples.The following are the results for the 61 samples they analysed. 76.33 57.73 74.78 100.36 73.50 77.63 88.78 77.40 51.16 62.20 149.49 86.24 57.90 72.10 67.20 54.38 54.07 91.47 62.32 44.73 55.47 95.06 71.50 73.53 57.68 51.70 114.79 61.70 47.23 78.15 53.07 106.00 35.90 85.40 72.30 61.10 72.20 41.98 59.36 63.96 66.60 69.91 59.20 54.41 59.76 128.40 67.10 83.82 95.33 88.17 109.30 79.55 58.50 82.60 153.56 84.70 62.80 70.17 44.40 61.90 55.05 Use the data to prepare; 1.A frequency distribution. 2.A relative frequency distribution. 3.A cumultative frequency distribution. 4.A box and Whisker plot.
The director of student services at Oxnard College is interested in whether women are less likely to attend orientation than men before they begin their coursework. A random sample of freshmen at Oxnard College were asked what their gender is and whether they attended orientation. The results of the survey are shown below: Data for Gender vs. Orientation Attendance Women Men Yes 338 No 317 349 287 What can be concluded at the a= 0.10 level of significance? For this study, we should use z-test for the difference between two population proportions a. The null and alternative hypotheses would be: Ho: p1 p2 (please enter a decimal and note that p1 and μl represent the proportion and mean for women and p2 and 2 represent the proportion and mean for men.)
Suppose the National Transportation Safety Board wants to examine the safety of compact cars, midsize cars, and full-size cars. It collects a sample of three for each of the treatments (cars types). Test the claim that the mean pressure applied to the driver's head during a crash is equal for all three types of cars. Use a = 0.05 Compact Cars 643 Midsize Cars 469 Full-size Cars 484 655 m 427 456 20 Apple 702 525 A 402 Show your 6 steps labeled in order in the box below using the p-value method.

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