Hypothesis Testing BiostatisticsA reporteR for a local Newspaperclaimed that PopEs have a tougheRJobthan British monarchs. Despitehaving similar ages upoN election ORCoronation, the popes tended to not liveas long after election compared tomonarch's coronation due to stressand demands of the job. He thenproduced the followingto support this idea:data table2Popes 15Kings and 1Queens 718 119 21 3 6 1032 25 11 8 17 19 56 13 12 13 33 59 106 25 23 6150 26 27 63 9 25 36 15A reporteR at that SAME news paperdisagreed. She believed that POPESon Average live longer because they haveLESS Stress AND ANKiety.who is most likely correct?

Given information: Popes Kings and Queens 2 17 9 6 21 13 3 12 6 13 10 33 18 59 11…

Answered: Hypothesis Testing Biostatistics A…

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 following is based on information from The Wolf in the Southwest: The Making of an Endangered Species, by David E. Brown (University of Arizona Press). Before 1918, the proportion of female wolves in the general population of all southwestern wolves was about 50%. However, after 1918, southwestern cattle ranchers began a widespread effort to destroy wolves. In a recent sample of 37 wolves, there were only 11 females. One theory is that male wolves tend to return sooner than females to their old territories, where their predecessors were exterminated. Do these data indicate that the population proportion of female wolves is now less than 50% in the region? Use α = 0.01. (a) What is the level of significance? State the null and alternate hypotheses. O Ho: P 0.5 O Ho: P = 0.5; H₁: p 5 and nq > 5. O The Student's t, since np > 5 and ng > 5. The standard normal, since np < 5 and nq < 5. O The Student's t, since np < 5 and nq < 5. What is the value of the sample test statistic? (Round…
The contingency table below shows the blood types of a sample of patients cross classified by gender. How many women with blood type AB would you expect if there was no association between these two variables? A AB Total Female 42 55 11 4 112 Male Total 55 43 16 120 97 98 27 10 232 O 5.2 O 10 O 4.8 4.
Question The data below represents the number of 50kg bags of maize produced by 100 small scale farmers in the 2019/21 farming season:40 41 42 44 45 46 46 46 47 47 47 47 48 48 49 50 50 50 51 5152 52 52 52 52 52 53 53 53 53 53 53 54 54 54 55 55 55 55 5656 56 56 56 57 57 57 57 57 57 57 57 57 57 57 58 58 58 58 5858 58 59 59 59 59 60 60 60 60 61 61 61 61 61 62 62 62 63 6363 63 64 64 64 65 65 66 66 67 67 67 67 68 68 69 70 71 72 74 d) Determine the mean, the mode, the median, the variance, the standard deviation, and the coefficient of skewness for grouped data. Interpret correctly these numbers.
Which of the following is a Research Question that can be answered using data? How do people arrive in the Emergency Department? Which hospital gown are patients most comfortable wearing? How many people are obese in a given community? All of the Above
Practice question #1. Researchers at the University of Utah carried out a study to see if the size of the fork used to eat dinner influences how much food is consumed. The researchers assigned people to one of two groups. One group ate dinner using a small fork, and the other group ate using a large fork. The researchers found that thatthose who ate with a large fork ate less food on their plate than those who ate with a small fork. An articledescribing this study was called “Dieters Should Use a Big Fork”, implying cause-and-affect andgeneralizing this finding to the population of dieters. A. Under what circumstances would it be reasonable to conclude a cause-and-effect relationship between fork size and amount eaten? B. Under what circumstances would it be reasonable to generalize this finding to the population of dieters? Why is it often NOT appropriate to generalize the results of experiments to a wider population?
Mr. Acosta, a sociologist, is doing a study to see if there is a relationship between the age of a young adult (18 to 35 years old) and the type of movie preferred. A random sample of 93 adults revealed the following data. Test whether age and type of movie preferred are independent at the 0.05 level. Person's Age Movie 18-23 yr 24-29 yr 30-35 yr Row Total Drama 7 13 14 34 Science Fiction 11 11 8 30 Comedy 8 10 11 29 Column Total 26 34 33 93 (A) Find the value of the chi-square statistic for the sample. (Round the expected frequencies to at least three decimal places. Round the test statistic to three decimal places.)
3. Suppose you find yourself in this situation. One time you want to buy a light bulb.There are three brands of light bulbs that you know. Knowing that the longer the lightbulb lasts, the more you save. Your experience of buying the different brands of light isthe basis. The data are as follows: BRAND K: The light bulb lasted for 4.5 months, 3.5 months, 5.5 months, 2.5 months,6,5 months, 2 months, and 7 months.Brand A: The light bulb lasted for 4.5 months, 3.5 months, 5.5 months, 2.5 months, 6.5months, 2 months, 7months, 4.5 months and 4.5 months. BRAND J: The light bulb lasted for 4.5 months, 3.5 months, 5.5 months, 2.5 months, 6.5months, 2months, 7 months, 8 months and 1 month.If the light bulbs have the same price, which brand of light will you buy? Justify youranswer by using the statistical measures. Tabulate your solutions.
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A psychologist believed that as children get older, they engage in more “inactive activities” such as playing computer games, watching TV and surfing the internet. She collected data from 10 children. She recorded the age of each child and the amount of activity (in hours) the child engaged in per week. Age Activity 7 4.3 9 3.2 10 1 13 1.5 12 1.2 15 0.8 9 3 12 4 15 1.5 14 1.9 Using excel, obtain a scatterplot of the data. Discuss the relationship between age and activity based on the scatterplot. Using excel, obtain the simple linear regression linear regression line predicting activity from age. Interpret the intercept and slope of the regression line. By hand, predict the amount of activity for age = 14. By hand, calculate the residual for age = 14 Using excel output, test the null hypothesis that the slope coefficient is zero using the p-value approach. Write one sentence interpreting the meaning of this result. Make sure to report the test statistic…
Mr. Acosta, a sociologist, is doing a study to see if there is a relationship between the age of a young adult (18 to 35 years old) and the type of movie preferred. A random sample of 93 adults revealed the following data. Test whether age and type of movie preferred are independent at the 0.05 level. Person's Age Movie 18-23 yr 24-29 yr 30-35 yr Row Total Drama 9 13 12 34 Science Fiction 9 8 13 30 Comedy 10 8 11 29 Column Total 28 29 36 93 n USE SALT (a) What is the level of significance? State the null and alternate hypotheses. O Ho: Age and movie preference are independent. H: Age and movie preference are not independent. O Ho: Age and movie preference are independent. H,: Age and movie preference are independent. O Ho: Age and movie preference are not independent. H,: Age and movie preference are not independent. O Ho: Age and movie preference are not independent. H: Age and movie preference are independent. (b) Find the value of the chi-square statistic for the sample. (Round the…

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