4. a fast-food restaurant planning for stage offer special , where consumer could buy glasspicture drink_ character cartoon famous . If at most 5 % of consumers who will buy glass tb .so offer special tb . no so implemented . If a preliminary test done in several location and 88of 500 consumers buy glass tb ., do a hypothesis test with use level 0.01 significance is offerspecial glass tb . should implemented ? What recommendation you ?

if you are interested to compare the sample proportion (p) with the population proportion (P) when…

Answered: 4. a fast-food restaurant planning for…

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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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 or higher and 0 otherwise What type of variable is genhelf? O Discrete Continuous Nominal O Ordinal
The University of Chicago's General Social Survey (GSS) is the nation's most important social science sample survey. The GSS asked a random sample of adults their opinion about whether astrology is very scientific, sort of scientific, or not at all scientific. A two-way table of counts for people in the sample who had three levels of higher education degrees is given. Degree Held Bachelor Junior College Not at all scientific Very or sort of scientific 13 Identify a 95% confidence interval for the percentage of people with a junior college degree who think that astrology is not at all scientific. 0.4597 to 0.6729 0.1011 to 0.1745 0.0793 to 0.1377 0.4768 to 0.6558 47 36 Graduate 181 43 113
cation.wiley.com/was/ui/v2/assessment-player/index.html?launchld%3D23444A65-4cc0-4df8-ble1-88275c2bf7cd#/guestion/2 rk updated Question 3 of 9 -/1 三 View Policies Current Attempt in Progress Who Is More Trusting: Internet Users or Non-users? In a randomly selected sample of 2237 US adults, 1754 identified themselves as people who use the Internet regularly while the other 483 indicated that they do not use the Internet regularly. In addition to Internet use, participants were asked if they agree with the statement "most people can be trusted." The results show that 807 of the Internet users agree with this statement, while 130 of the non-users agree." Find a 99% confidence interval for the difference in the two proportions, p, - PN,where p, is the proportion for the internet users who agree with the statement and py is the proportion for the non-internet users who agree with the statement. Round youranswers to three decimal places. The 99% confidence interval is to Hampton, K., Goulet,…
Please help on all the parts of the problem!!
A survey of 61,646 people included several questions about office relationships. Of the respondents, 26.2% reported that bosses scream at employees. Use a 0.01 significance level to test the claim that more than 1/4 of people say that bosses scream at employees. How is the conclusion affected after learning that the survey is an online survey in which Internet users chose whether to respond? ldentify the null hypothesis, alternative hypothesis, test statistic, P-value, conclusion about the null hvnothesis, and final conclusion that addresses the original claim, Use the P-value method. Use the normal distribution as an annroximation of the binomial distribution. Hip>0.75 H;: p 0.75 The test statistic is z= (Round to two decimal places as needed.)
A baseball team claims that the mean length of its games is 2.4 hours. State H0 and Ha in words and in symbols. Then determine whether the hypothesis test for this claim is left-tailed, right-tailed, or two-tailed. Explain your reasoning. State the null hypothesis in words and in symbols. Choose the correct answer below. A. The null hypothesis expressed in words is, "the mean length of a baseball team's games is at most 2.4 hours." The null hypothesis is expressed symbolically as, "H0: μ≤2.4." B. The null hypothesis expressed in words is, "the mean length of a baseball team's games is more than 2.4 hours." The null hypothesis is expressed symbolically as, "H0: μ≠2.4." C. The null hypothesis expressed in words is, "the mean length of a baseball team's games is at least 2.4 hours." The null hypothesis is expressed symbolically as, "H0: μ≥2.4." D. The null hypothesis expressed in words is, "the mean length of a baseball…
What is the sample size (n=) and what consequences will the sample size have on my analysis and reporting of results?
The mean weight of super model winners is greater than 108 pounds. A study of 25 randomly selected super model resulted in a mean winner weight of 115 pounds. Choose the correct Null and Alternative Hypothesis
Suppose that a health researcher is interested in determining whether the distance between the patient’s residence and source of care, and # of disability days significantly predict the number of visits at a local hospital. At the 5% significance level, determine if # of disability days and distance between patient’s residence and source of care significantly predict the number of visits. Visits Distance Disability days 7 1 8 7 1 9 2 10 1 4 4 3 5 2 5 3 9 2 2 10 1 9 2 10 6 3 7 2 11 2 4 2 3 7 2 8 3 14 2 2 16 1 8 2 9 4 4 2 6 2 5
The proportion of students who pass a placement exam at a college has been 0.64. With hopes toincrease that proportion the college hired a company to provide a brief refresher class before the test is given.A sample of 250 students got selected for the study and 168 of these students passed the exam. At the 5%significance level do the data provide enough evidence to claim the population proportion of students passingthe test will be higher with the company’s refresher class? what is the hypthesis and test stastic?
Consider trying to predict the life expectancy of citizens in a country based on the birth rate (per 1000 people) in that country. Here is a scatterplot of the data from a random sample of 50 countries. > ggplot (SampCountries, aes (BirthRate, LifeExpectancy)) + geom_point (color = "darkred")+ labs (title = "Life Expectancy by Birth Rate") + Life Expectancy by Birth Rate 80 - 70 - 10 20 30 40 BirthRate Here is (some of) the R output for the linear model for this data. > LifeBirth.lm summary (LifeBirth. lm) Call: Im (formula = LifeExpectancy BirthRate, data = SampCountries) Residuals: Min 10 Median 30 Маx -7.0592 -2.3047 0.9123 2.5019 5.8358 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 85.26295 1.03301 82.54 BirthRate -0.63291 0.04492 -14.09 Residual standard error: 3.424 on 48 degrees of freedom Multiple R-squared: 0.8053, Adjusted R-squared: 0.8012 F-statistic: 198.5 on 1 and 48 DF, p-value: < 2.2e-16 LifeExpectancy
25.

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