Screens, 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 these questions 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 on the mother's education, ethnicity, psychological distress, and employment. The study concluded that there is little clear-cut evidence that screen time decreases adolescent well-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.

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…

Kindly assist with creating bar charts, or pie charts for the below results; The results of this study were based on interviews issued and completed by eleven (11) employees at the Hotel. This research study comprised 31.4% of the total workforce across the three departments, with a total of 35 employees who varied in age from 16 years to above 65 years. 63.6% of individuals who participated were female, while 36% were male. The interviews included participation from 30% of employees in the housekeeping department, 33% from Guest Services, and 31% from the Food and Beverage department. There is a higher representation of females across all departments, with a total of 7 females compared to 4 males. There is a range of tenure lengths, with some employees having just started (1 year) and others having been with the hotel for longer periods (up to 14.5 years).

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…

A researcher is looking into the price of round trip airline tickets between LA and NY. The five number summary for the data sets provided below: 1. 240 2.$3753.$ 450 4. $657 5. $890 Complete the following: 1.   Interpret the value of the third quartile in a   contextualized sentence: Blank (answer options: 25%, 50%, at least 50, at least 25, at least 75, 75%) of _(answer iptions: airline tickets, round trip airline tockets between LA and NY, the price of an airline ticket between Ny and La) are priced_(375 or less, 657, 450, 375, 657, 450) 2. Determine if a ticker priced at 1200 would be an outlier. A ticker priced at 1200 ( answer options: would, eould not) be considered an iutlier because 1200 is (within, not within)_(the interval 93 and 939, the interval -48 and 1080, within 3 sd's of the mean, two standard deviations of the mean)

Hotel Managers' Personalities. Successful hotel managers must have personality characteristics often thought of as feminine (such as "compassionate") as well as those often thought of as masculine (such as "forceful"). The Bern Sex-Role Inventory (BSRI) is a personality test that gives separate ratings for female and male stereotypes, both on a scale of 1 to 7. A sample of 148 male general managers of three-star and four-star hotels had mean BSRI femininity score y = 5.29 The mean score for the general male population is μ = 5.19. Do hotel managers, on the average, differ significantly in femininity score from men in general? Assume that the standard deviation of scores in the population of all male hotel managers is the same as the σ = 0.78 for the adult male population. (a) State null and alternative hypotheses in terms of the mean femininity score μ for male hotel managers. (b) Find the z test statistic. (c) What is the P-value for your z? What do you conclude about male hotel…

Researchers studied a group of 30 “self-designated worriers” (i.e. individuals who reported spending at least 10% of the day worrying) and who were over the age of 70 (mean age of 78.1).  The researcher randomly assigned the worriers into three groups.  For the next four weeks, each group would experience a different approach to handling worry.  One group engaged in a worry-focus discussion group.  The second group members enjoyed individual therapy.  The third group went for daily walks in the park.  Data was collected, analyzed, and interpreted.  Write a valid one sentence hypothesis statement using proper form of the above research design.