Athlete ages: a sport reporter suggests that professional baseball players must be, on average, older than professional football players, since football is a contact sport and players are more susceptible to concussions and serious injuries (www.sports.yahoo.com). One player was selected at random from each team in both professional baseball (MLB) and professional football (NFL). The data are summarized below. MLB NFL 30 32 27.5 26.16 3.94 2.78 The researchers in decided to test the hypothesis. The degree of freedom formula gives 51.83df. Test the null hypothesis at a = 0.05. Is the alternative one or two sided?

Athlete ages: a sport reporter suggests that professional baseball players must be, on average, older than professional football players, since football is a contact sport and players are more susceptible to concussions and serious injuries (www.sports.yahoo.com). One player was selected at random from each team in both professional baseball (MLB) and professional football (NFL). The data are summarized below. MLB NFL 30 32 27.5 26.16 3.94 2.78 The researchers in decided to test the hypothesis. The degree of freedom formula gives 51.83df. Test the null hypothesis at a = 0.05. Is the alternative one or two sided?

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

A common belief among doctors, nurses and other medical professionals is that lunar cycle influences human behavior, such as the quality of sleep. In a recent study, a scientist was interested in investigating whether there is a significant difference in the number of sleeping hours in different moon phases: waxing crescent, full moon, and waning crescent. Participants’ number hour of sleep were recorded in the table below. Quality of sleeps (in number of hours) Waxing Crescent Full Moon Waning Crescent 7 8 9 7 8 4 5 4 3 6 5 7 8 9 6 What are the groups being compared? That is, what are the levels of the IV? What is the IV? What is the level of measurement of the IV?
3. Twittering away The Pew Internet and American Life Project asked a random sample of 2253 U.S. adults, "Do you ever ... use Twitter or another service to share updates about yourself or to see updates about others?" In the sample, 19% said “Yes." The dotplot shows the proportion who would say "Yes" to this question in each of 1000 random samples of size 2253 from a population where 19% would say "Yes."18 |||| 0.16 0.17 0.18 0.19 0.2 0.21 0.22 0.23 Simulated sample proportion who would say "Yes" Distribution of simulated proportion # samples 1000 mean 0.19 SD 0.009 (a) Use the results of the simulation to approximate the margin of error for the estimate of the proportion of U.S. adults who would say "Yes" to this question. (b) Interpret the margin of error.
A psychologist at a private mental health facility was asked to determine whether there was a clear difference in the length of stay for patients with different categories of diagnosis. Looking at the last seven patients in each of the three major categories, the results (in terms of weeks of stay) were as follows. Using the data below, test whether the length of stay for patients vary based on category of diagnosis. Diagnosis Category Affective Disorders Cognitive Disorders Drug-related Conditions 7 12 8 6 8 10 5 9 12 6 11 10 9 11 9 5 10 11 6 9 12 Statistics is a harder subject for me, so any further explanation is appreciated. I am needing the appropriate output for this scenario. I have determined that a Repeated measures ANOVA is needed, including post hoc test results, as well as a bar chart for this output. I need to Present the results, including statistical notations. My analysis also requires…
A researcher is interested in studying the connection between the time spent using electronics and the rates of depression among teenagers in the state of New York. Which of the following samples would be most representative of the population? a a group of 500 respondents from the ages of 13-19 who live in New York City b a group of 500 respondents from the ages of 13-19 who live in the state of New York c a group of 500 respondents from the ages of 13-15 who live in the United States d a group of 500 high school seniors who live in the state of New York
A social media app is conducting a study on the amount of time users spend on the app. They collect the following variables. 1. Age Years: How old they are in years? 2. Income: Monthly Income 3. Location: What country do they live in? 4. Device: Do they use an iPhone, Samsung, other? 5. Service: Who provides their mobile phone service? For example: T-Mobile, At&t, Verizon, ect 6. Hours: How many hours do they spend on the app per week. Which variable could the research construct a one proportion z-interval for? And Why would you choose that variable?
In each scenario, identify the population, the sample, and any population parameters or sample statistics that are given. In a recent study, US graduates of for-profit higher education institutions were between 4.8 and 6.7 percentage points more likely to be unemployed than those at non-profit institutions and community colleges.
Do truck drivers get into more accidents than people who drive SUVs? Researchers use police records of automobile accidents over the past year and vehicle registrations to compare the percentage of drivers of vehicles of each type that get into accidents. 1: A survey 2: An observational study that is not a survey 3: An experimental study
A statistics professor wants to determine how students' final exam scores arerelated to the quiz scores, midterm exam scores, and number of classes missed. The professor selects 12 students from his class and obtains the following data:
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: Person's Age Movie 18-23 yrs 24-29 yrs 30-35 yrs Row Total Drama 8 15 11 34 Science Fiction 12 10 8 30 Comedy 9 8 12 29 Column Total 29 33 31 93 Test whether age and type of movie preferred are independent at the 0.05 level of significance.
The researcher is concerned that older persons may not be knowledgeable of the pandemic outbreak. As such, she is interested in investigating the association between the age of the respondents and their knowledge level. Table 2 below shows the knowledge level of respondents, by age group. Age Category POOR SATISFACTORY GOOD TOTAL 18-25 33 16 13 62 26-34 30 18 12 60 35-44 29 14 12 55 45-54 36 16 18 70 55-75 17 14 22 53 Total 145 78 77 300 Conduct a test, at the 5% level of significance, to determine whether the data provided sufficient evidence to conclude that an association exists between age group and knowledge level. (b) State the hypotheses to be tested: H0: H1:(b)Calculate/ state the degrees of freedom for this test (c)the p-value for this test, given that the chi-square test statistic, x^2, is 11.029 (d) ) state the conclusion for the test. Give reason for your answer.
The second slide is the first part of the question and the first slide is the second part of the question
Which of the following is not a common data source? A. Customer Surveys B. Social Media Platforms C. Website Traffic Logs D. Key Performance Indicators (KPIs)