From the data given below, calculate Yule's coefficient of association betweenweight of children and their economic condition, and interpret it.Poor ChildrenRich ChildrenBelow Normal weight7523Above Normal weight542

Contingency table, Poor Children (A) Rich Children (a) Below Normal weight (B) 75 23 Above…

Answered: From the data given below, calculate…

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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ings Review View Help 12. 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 as a guide and write a sentence or two interpreting your results. Age More than 40 78 169 247 Less than 40 Support: For Against 145 103 248 223 272 495 A. Use probabilities to determine if these two variable are independent or dependent P(Less than 40) = P(Less than 40 |For) = P (Less than 40 | Against) = Are age and support for the anti-smoking law independent? (Yes = independent / No = not independent) B. Conduct a hypothesis test using an alpha of .05 that these variables are i ndependent versus the alternative that they are related. a. Step 1: State Hypotheses H: H: b. Step 1-1: Construct expected frequency f.= (RM CM)
age adult Americans are about one inch taller, but nearly a whopping 25 pounds heavier than they were in 1960, according to a new report from the Centers for Disease Control and Prevention (CDC). The cad news, says CDC is that average BMI (body mass index, a weight-for-height formula used to measure obesity) has increased among adults..." Boston is considered one of America's healthiest cities - is the weight gain since 1960 similar in Boston? A sample of n328 adults suggested a mean increase of 19.5 pounds over the mean recorded in 1960 with a standard deviation of 8.6 pounds. Is Boston statistically significantly different in terms of weight gain from the national mean since 1960? Run the appropriate test at a 5% level of significance. Please use the five steps to demonstrate proper hypothesis testing and explain your results.
Following this week's empirical application, the scatter plot below plots average rain in a city (vertical axis) against average PM 10 levels in a city (horizontal axis). Based on this figure, what appears to be true? Average Rain in a City u Rain vs Pollution by City 120 Average PM10 in a City 160 Cities with more rain tend to have less pollution O Cities with less pollution tend to have less rain O There is no statistical relationship between rain and pollution O Cities with more rain tend to have more pollution
The independent variable is ---Select--- income or BMI and the dependent variable is ---Select--- income or BMI.
Please answer both this is one question
Use the data to the right to complete parts (a) through (d) below. Percentage Who Won't Try Don't Approve of Marriage Equality Sushi Generation Millennials Gen X Boomers Silent/Greatest Generation 43 37 50 42 57 48 77 69 a. Determine the correlation coefficient between the percentage of people who won't try sushi and the percentage who do not approve of marriage equality. (Do not round until the final answer. Then round to two decimal places as needed.) b. What explanations can you offer for the correlation coefficient in part (a)? Choose the correct answer below. O A. Unwillingness to try sushi and disapproval of marriage equality have no correlation. O B. Unwillingness to try sushi and disapproval of marriage equality have a weak positive correlation. Oc. Unwillingness to try sushi and disapproval of marriage equality have a strong negative correlation. D. Unwillingness to try sushi and disapproval of marriage equality have a strong positive correlation. c. Find the equation of the…
Consider the histogram shown below. Frequency 30 10 0 0 5 DATA 10 15
Make a chi square and evaluate the data statistically. Also breifly explain the results.
Check O Resources Give Up? O Hint ent Score: 5.9% 2 of 16 Beans and other legumes are a great source of protein. The following data give the protein content of 30 different varieties of beans, in grams per 100 grams of cooked beans. 7.5 8.2 8.9 9.3 7.1 8.3 8.7 9.5 8.2 9.1 Make a proper stemplot of these data. 9.0 9.0 9.7 9.2 8.9 8.1 9.0 7.8 8.0 7.8 6 8 7 0 1556788 8 0 112 2333799 9 0 00 1 2357 10 6 7.0 7.5 13.5 8.3 6.8 10.6 8.3 7.6 7.7 8.1 11 12 13 5 O 18 01556788 8 0 1122333709 900 0 12 357 10 6 7. 11 12 13 6 Key: 618=6.8 grams of protein per 100g of cooked beans 0 1 755678 8 80 1122 333 8799 000123 957 106 11 7. 12 135 Key: 68 68 grams of protein per 100g of cooked beans 68 7 61880667 8. 29372910331 9 35 100720 10 6 11 12 13 5
A study of emergency service facilities investigated the relationship between the number of facilities and the average distance traveled to provide the emergency service. The following table gives the data collected.
Weight (lbs.) 173 184 194 214 168 220 188 188 207 167 217 Systolic Blood Pressure 132 143 153 162 154 168 137 149 159 128 1 1. The sample correlation coefficient is _____________
The data below represent the number of days absent, x, and the final grade, y, for a sample of college students at a large university. Complete parts (a) through (e) below. У, No. of absences, x 1 2 4 6. 7 8 9. Final grade, y 88.8 85.9 83.0 80.6 77.7 73.3 63.5 68.3 65.4 62.6 (Round to three decimal places as needed.) A. For every unit change in the final grade, the number of days absent falls by days, on average. B. For every day absent, the final grade falls by on average. C. For zero days absent, the final score is predicted to be 88.778 . D. For a final score of zero, the number of days absent is predicted to be days. E. It is not appropriate to interpret the y-intercept. (c) Predict the final grade for a student who misses five class periods and compute the residual. Is the observed final grade above or below average for this number of absences? The predicted final grade is |. This observation has a residual of, which indicates that the final grade is average. (Round to one decimal…

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From the data given below, calculate Yule's coefficient of association between weight of children and their economic condition, and interpret it. Rich Children Poor Children Below Normal wcight 75 23 Above Normal weight 42