Which of the following Python methods is used to perform an unpaired t-test for the difference in two population means? Select one.
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- Which of the following Python methods is used to perform an unpaired t-test for the difference in two population means? paired_ttest from scipy module proportions_ztest from statsmodels module ttest_ind from scipy moduleWhich of the following Python methods is used to perform a paired t-test for the difference in two population means? Select one. Question 5 options: paired_ttest from scipy module ttest_ind from scipy module proportions_ztest from statsmodels module ttest_rel from scipy moduleQ4C. Explain how the residuals of an ARMA model can be used to diagnose potentialmodel misspecification issues? If any, how can these misspecification issues, beaddressed?
- A doctor in Oklahoma City wants to know whether the average life span for heart disease patients at four hospitals in the city differ. The data below represents the life span, in years, of heart disease patients from each hospital. Perform an ANOVA test with a 10% level of significance to test whether the average life span of heart disease patients in Oklahoma City differs depending on the hospital that treats them Life Span of Patients Treated at Hospital 1: 8.1, 1.2, 7, 11.5, 21, 2, 15.3, 19.2, 10.5, 15.4, 12.7, 15.3, 12.1, 7.5, 11.4, 16.4, 26.7, 14.6, 1.5, 16.3, 12.6, 0.8, 18.2, 4.2, 9.6, 21, 16.3, 2.7 Life Span of Patients Treated at Hospital 2: 17.6, 11.6, 16.8, 5.2, 6.7, 3.2, 13.8, 12.5, 0.9, 6, 14.3, 1.8, 14.8, 10, 5.8, 15.2, 10, 3.7, 11.4, 21.6, 12.9, 0.5, 9.2, 13.9, 10.9 ▼ Part 1 of 4 Life Span of Patients Treated at Hospital 3: 8.5, 2.3, 11, 7.4, 14.8, 5.8, 11, 3.4, 10.9, 1.1, 5.9, 21.6, 12.5, 0.1, 15.5, 15.4, 0.8, 7.7, 5.6, 12, 7.1 Life Span of Patients Treated at Hospital…A magazine conducted a survey on whether dollar coins or quarters would be left on a busy sidewalk the longest. Theyrecorded the amount of time each coin was left on the sidewalk before being picked up. According to their results the dollar coins remained a mean time of 390 seconds while the mean length of time that the quarters stayed on the sidewalk was 5.75 minutes. Assume that these means are based on samples of fifty 1-dollar coins and forty-five quarters and that the two-samplestandard deviations are 105 seconds and 72 seconds,respectively. Find a 99% confidence interval for the difference between the corresponding means.For each item, identify if the type of sample is related or independent. Prof. Antonio believes that men are paid more than women in their university, on average. To prove this, she just randomly selected a total of 100 faculty members using STRS with sex as stratification variable and asked them of their monthly pay from their work in the university. An ophthalmologist wants to determine if specific eye exercises can improve peripheral vision. To confirm if these eye exercises are effective, he selected a random sample of 5 patients. Using a visual field test, their peripheral visions were scored before and after conducting the eye exercise program. Gorgeous believes that her favorite love team, LenKi, is more popular than their rival love team, SaBong. In order to verify this, she randomly selected 100 theaters that feature both the latest movies of the two love teams and asked for the box office earnings of the two films. A researcher wants to determine if the emotional quotient…
- A researcher at a college hears students complain that they don’t have enough time to in their week to study. He believes that the students at the college are spending much more time on Facebook, Twitter, and Instagram than they did three years ago. He knows that three years ago, the mean number of hours per week students spent of social media was 15.1 hours. He takes a sample of 16 students and finds they spend 23.3 hours per week on social media with SS=240.Estimate effect size by constructing 90% an confidence interval. Group of answer choices 1.) 23.3 plus or minus 2.753 hours 2.) 15.1 plus or minus 1.001 hours 3.) 17.1 plus or minus 5.132 hours 4.) 23.3 plus or minus 1.753 hoursThe following cross-tabulation, based on GSS18SSDS-B data, examines the relationship between age (the independent variable) and presidential candidate one voted for in the 2016 U.S. presidential election (dependent variable). Notice we have recoded age into four categories: 18–29, 30–39, 40–49, and 50–59. Respondents of all other ages have been excluded from the analysis. Vote Clinton or Trump * RE_AGE Crosstabulation RE_AGE 18–29 30–39 40–49 50–59 Total Vote Clinton or Trump Clinton Count 65 96 77 78 316 % within RE_AGE 65.7% 61.1% 53.8% 45.6% 55.4% Trump Count 19 42 55 86 202 % within RE_AGE 19.2% 26.8% 38.5% 50.3% 35.4% Other candidate (specify) Count 12 17 10 5 44 % within RE_AGE 12.1% 10.8% 7.0% 2.9% 7.7% Didn’t vote for president Count 3 2 1 2 8 % within RE_AGE 3.0% 1.3% 0.7% 1.2% 1.4% Total Count 99 157 143 171 570…A researcher at a college hears students complain that they don’t have enough time to in their week to study. He believes that the students at the college are spending much more time on Facebook, Twitter, and Instagram than they did three years ago. He knows that three years ago, the mean number of hours per week students spent of social media was 15.1 hours. He takes a sample of 16 students and finds they spend 23.3 hours per week on social media with SS=240.Conduct a t-test to see is his theory is correct.(Be sure to show all 4 steps of a hypothesis test. Also be sure to consider if this is a one-tailed or two-tailed test.)
- A researcher at a college hears students complain that they don’t have enough time to in their week to study. He believes that the students at the college are spending much more time on Facebook, Twitter, and Instagram than they did three years ago. He knows that three years ago, the mean number of hours per week students spent of social media was 15.1 hours. He takes a sample of 16 students and finds they spend 23.3 hours per week on social media with SS=240.Measure effect size using percentage of varianceA researcher at a college hears students complain that they don’t have enough time to in their week to study. He believes that the students at the college are spending much more time on Facebook, Twitter, and Instagram than they did three years ago. He knows that three years ago, the mean number of hours per week students spent of social media was 15.1 hours. He takes a sample of 16 students and finds they spend 23.3 hours per week on social media with SS=240.Measure effect size using Cohen's D.A coin-operated coffee machine made by BIG Corporation was designed to discharge a mean of eight ounces of coffee per cup. If it dispenses more than that on average, the corporation may lose money, and if it dispenses less, the customers may complain. BIG Corporation would like to estimate the mean amount of coffee, u, dispensed per cup by this machine. BIG will choose a random sample of cup amounts dispensed by this machine and use this sample to estimate u. Assuming that the standard deviation of cup amounts dispensed by this machine is 0.40 ounces, what is the minimum sample size needed in order for BIG to be 90% confident that its estimate is within 0.05 ounces of u? Carry your intermediate computations to at least three decimal places. Write your answer as a whole number (and make sure that it is the minimum whole number that satisfies the requirements). (If necessary, consult a list of formulas.)
