Part I Challenge Problem: 1.42 Page 38Screens, teens, and psychological well-being. In a study of three nationally representative large- scale data sets from Ireland, the United States, and the United Kingdom (n= 17,247), teenagers between the ages of 12 to 15 were asked to keep a diary of their screen time and answer questions about how they felt or acted. The answers to thesequestions were then used to compute a psychological well-being score. Additional data were collected and included in the analysis, such as each child's sex and age, and onthe mother's education, ethnicity, psychological distress, and employment. The study concluded that there is little clear-cut evidence that screen time decreases adolescentwell-being.(a) What type of study is this?(b) Identify the explanatory variables.(c) Identify the response variable.(d) Comment on whether the results of the study can be generalized to the population, and why.(e) Comment on whether the results of the study can be used to establish causal relationships.

Given:- A study of three nationally representative large-scale data sets from Ireland,…

Answered: Screens, teens, and psychological…

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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After looking at MLs, the researcher decides to look at the entire sample. In her analysis the researcher is interested in the relationship between party affiliation, gender, and religious importance. She measures party affiliation on a seven-point scale such that: 1-Strong Democrat; 2-Democrat; 3=Independent leaning Democrat; 4=Independent; 5=Independent leaning Republican; 6=Republican; 7=Strong Republican. Gender is measured as a dummy variable coded 1 if the respondent identifies as female and O if the respondent identifies as male. Religious importance is coded as before (1-important; O=unimportant). A regression model is estimated and the following results are obtained: Call: Im(formula = guncontrol ~ pid7 + sex + ri, data = therms) Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 15.82 0.13 117.89 <0.0000000000000002 pid7 -1.02 0.03 sex 1.43 0.11 ri High -0.30 0.12 Note that "pid7" denotes the party affiliation measure; "sex" measures gender identification…
In a study researching how donating to charity can affect a person's happiness, 96 participants were given $5 a day for one week. Each participant was randomly assigned to one of two groups. Those assigned to the first group were asked to spend the money on themselves, and those assigned to the second group were asked to donate the money to charity. At the end of the week, all of the participants were asked to rate their overall level of happiness on a scale from 0 to 100, with higher scores indicating greater levels of happiness. Which of the following are the appropriate null and alternative hypotheses to test whether the sample data provide convincing statistical evidence that donating to charity results in greater happiness than spending on oneself, on average? Ho self- "charity = 0 (A) Ha self charity >0 Ho self Mcharity=0 (B) Ha self charity 0 (E) Ha self = Mcharity <0
Seattle Grace Medical Center. As part of a long-term study of individuals 65 years of age or older, doctors at the Seattle Grace Medical Center in Washington state investigated the relationship between state of residence and depression. A sample of 60 individuals, all in reasonably good health, was selected; 20 individuals were residents of Texas, 20 were residents of Washington state, and 20 were residents of South Carolina. Each of the individuals sampled was given a standardized test to measure depression. The data collected follow; higher test scores indicate higher levels of depression. These data are contained in the attached data file SeattleGrace1. A second part of the study considered the relationship between state of residence and depression for individuals 65 years of age or older who had a chronic health condition such as diabetes and/or high blood pressure. A sample of 60 individuals with such conditions was identified. Again, 20 were residents of Texas, 20 were residents…
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A scientific study was conducted to determine the hours of sleep that college students get per night. The study surveyed 33 college students and obtained the following data: 7.8, 8.1, 5.9, 7.1, 6.9, 8.5, 7.8, 6.2, 6.2, 7.2, 7.1, 7.3, 6.4, 8.3, 7.9, 6.6, 7.4, 6.8, 6.7, 7.2, 5.6, 8.3, 6.6, 6, 5, 7.7, 7, 6.6, 7.8, 6.3, 7.8, 6.3, 7.1 Construct a 87% confidence interval for the average hours of sleep per night that college students get. S = τα Margine of Error: E = hours We are 87% confident that college students get an average of between hours of sleep per night. and Question Help: D Post to forum ||
A researcher is interested in the relationship between age and golf performance. The researcher claims that golf performance improves with age, that is, as one gets older, his or her golf scores decrease. [In golf, a low score represents better performance; a higher score represents worse performance.] The researcher randomly selects a group of eight golfers at the local golf course and records their ages and their most recent golf score. The data that were collected are presented below: Golfer's Name Diego Tiger Bogart Marilyn Jennifer Mitch Bubba Amber Age (years) Variable 1 23 14 38 43 49 36 72 Golf Score Variable 2 92 112 77 84 81 72 79 86 Which of the following are the correct statements of the null and alternate hypotheses, Ho and HA? O Ho: M₁ M₂ and HA: H1 H₂
A survey collected data on annual credit card charges in seven different categories of expenditures: transportation, groceries, dining out, household expenses, home furnishings, apparel, and entertainment. Using data from a sample of 42 credit card accounts, assume that each account was used to identify the annual credit card charges for groceries (population 1) and the annual credit card charges for dining out (population 2). Using the difference data, with population 1– population 2, the sample mean difference was d = $870, and the sample standard deviation was s,= $1,125. (a) Formulate the null and alternative hype to test for no difference between the population mean credit card charges for groceries and the population mean credit card charges for dining out. 0> Prt :°H 0 = Pri :ºH O O Ho: Hdso H: H=0 (b) Calculate the test statistic. (Round your answer to three decimal places.) What is the p-value? (Round your answer to four decimal places.) Can you conclude that the population…
A Deloitte employment survey asked a sample of human resource executives how their company planned to change its workforce over the next 12 months. A categorical response variable showed three options: the company plans to hire and add to the number of employees, the company plans no change in the number of employees, or the company plans to lay off and reduce the number of employees. Another categorical variable indicated if the company was private or public. Sample data for 180 companies are summarized as follows. Employment Plan Company Private Public Add Employees 37 32 No Change 19 34 Lay Off Employees 16 42 1) Conduct a test of independence to determine if the employment plan for the next 12 months is independent of the type of company. State the null and alternative hypotheses. A) H0: Employment plan is not mutually exclusive from the type of company. Ha: Employment plan is mutually exclusive from the type of company. B) H0: Employment plan is not independent of…
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