During the exam you will be using a sample of 500 adults with the following variables:●genhelf - variable recording general self-reported health coded 1 = very good, 2 =good, 3 = fair, 4 = poor●sbp - variable recording systolic blood pressure•age - age of the respondent in years• sex - coded 1 = male and 2 = female●hi_sbp-indicator of high blood pressure coded 1 if the respondent's sbp is 130 orhigher and 0 otherwiseWhat type of chart is MOST appropriate for showing the relationship between thevariables sbp and age?O scatterplotO clustered bar chartO box and whisker plot (by categories)O multiple pie charts13°CCa

Introduction: The most appropriate chart is to be identified.

Answered: During the exam you will be using a…

Big Ideas Math A Bridge To Success Algebra 1: Student Edition 2015

1st Edition

ISBN:9781680331141

Author:HOUGHTON MIFFLIN HARCOURT

Publisher:HOUGHTON MIFFLIN HARCOURT

Chapter4: Writing Linear Equations

Section: Chapter Questions

Problem 14CR

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Guéguen and Jacob (2012) asked waitresses to wear different colored T-shirts on differentdays for a six-week period and recorded the lips left by male customers. The results show that male customers gave significantly bigger tips to waitresses when they were wearing red. For this study, identify the independent variable and the dependent variable.
In 2007, a university study was published investigating the crash risk of alcohol impaired driving. Data from 2,871 crashes were used to measure the association of a person’s blood alcohol level (BAC) with the risk of being in an accident. The table below shows results from the study. The relative risk is a measure of how many times more likely a person is to crash. So, for example, a person with a BAC of 0.09 is 3.54 times as likely to crash as a person who has not been drinking alcohol. BAC 0 .01 .03 .05 .07 .09 .11 .13 .15 .17 .19 .21 risk 1 1.03 1.06 1.38 2.09 3.54 6.41 12.6 22.1 39.05 65.32 99.78 a. Find the best fit exponential model for the risk of having an accident based on your BAC. b. Use your model to predict the relative risk of having an accident for a person with a BAC of 0.08 which is the legal limit in…
A recent company survey found that employees who were regular participants in the company fitness program had fewer sick days compared to employees who did not participate. However, because this study was not a true experiment, a cause-and-effect relationship between regular exercise and fewer sick days cannot be determined. Identify a confounding variable that might explain the relationship between regular exercise and fewer sick days that was found by the company survey. Describe a between-subjects design that you could use to determine whether participation in the exercise program caused fewer sick days. What factors would you control for (don’t forget about the confounding variable you previously identified!)? How would a repeated measures (within-subjects) design be different, and would it be appropriate for answering this research question? Why or why not?
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In a study, the researchers found that there is a strong positive correlation between the number of hours of sleep a person gets and their level of productivity at work. However, they also found that there is a significant difference in the correlation between men and women. How can the researchers test the hypothesis that the correlation between sleep and productivity is different for men and women? What statistical test should they use?
In a study of 301 Hispanic women living in San Antonia, Texas, one variable of interest was the percentage of subjects with impaired fasting glucose (IFG). IFG refers to a metabolic stage intermediate between normal glucose homeostasis and diabetes. In the study, 24 women were classified in the IFG stage. The article cites population estimates for IFG among Hispanic women in Texas as 6.3%. Is there sufficient evidence to indicate the population of Hispanic women in San Antonio has a prevalence of IFG higher than 6.3%? Use 95% confidence level and the p -value method to form your conclusion. The computed z score was 1.193. Find the p-value.
In a study of 301 Hispanic women living in San Antonia, Texas, one variable of interest was the percentage of subjects with impaired fasting glucose (IFG). IFG refers to a metabolic stage intermediate between normal glucose homeostasis and diabetes. In the study, 24 women were classified in the IFG stage. The article cites population estimates for IFG among Hispanic women in Texas as 6.3%. Is there sufficient evidence to indicate the population of Hispanic women in San Antonio has a prevalence of IFG higher than 6.3%? Use 95% confidence level and the p -value method to form your conclusion. Answer the problem in a complete sentence.
In a study of 301 Hispanic women living in San Antonia, Texas, one variable of interest was the percentage of subjects with impaired fasting glucose (IFG). IFG refers to a metabolic stage intermediate between normal glucose homeostasis and diabetes. In the study, 24 women were classified in the IFG stage. The article cites population estimates for IFG among Hispanic women in Texas as 6.3%. Is there sufficient evidence to indicate the population of Hispanic women in San Antonio has a prevalence of IFG higher than 6.3%? Use 95% confidence level and the p -value method to form your conclusion. Choose the correct null and alternative hypothesis.
A group of disabled women ages 65 and older were followed for several years. It was found that those who had a vitamin B12 deficiency were twice as likely to suffer from severe depressions than those who did not.a. Describe the type of study being performed.b. Describe the explanatory variable(s) and response variable(s).
Several epidemiologists conducted a cohort study of the effect of mercury exposure on the development of brain cancer. Subjects were followed for ten years. There were a total of 150,000 people in the study. Among the subjects, 76,000 were exposed to mercury and the rest were not. 52,000 of those exposed to mercury developed brain cancer, and only 1,200 of those unexposed to mercury developed brain cancer. Please create a two-by-two table. Calculate the relative risk and interpret it in a sentence. Calculate the attributable risk and interpret. Calculate the percent attributable risk and interpret. Assume that 30% of people in Rhode Island are exposed to mercury, calculate and interpret the population attributable risk and calculate and interpret the percent population attributable risk.

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