Though the numbers vary from year to year, the numbers below representestimates for the 2016-17 flu season. The flu vaccine is available everyyear from late summer through late spring. There are many arguments forwhy people should or shouldn't receive the flu vaccine. The most commonis that it's not 100% effective.Use the contingency table below to answers the questions below.Here are some relevant statistics from the data about the flu in America(the numbers below represent estimates for the 2016-17 flu season):Get's the Flu30,000,000 95,000,000Doesn't Get the Flu 110,000,000 125,000,000TotalFraction:Proportion:1. What are the chances of an American person getting the flu?Percent:Fraction:Proportion:2. If you get vaccinated, what are the chances of getting the flu?Percent:Vaccinated Unvaccinated TotalFraction:125,000,000235,000,000Proportion:140,000,000 220,000,000 360,000,0003. If you DON'T get vaccinated, what are the chances of getting the flu?Percent:

The total number of persons is 360,000,000.

Answered: Though the numbers vary from year to…

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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You wish to determine the impact expressive writing has on days spent in the hospital for elderly adults. However, it is difficult to estimate the population average of days spent in the hospital. Thus, we recruit 14 elderly adults and randomly assigned half to either write expressively about their most traumatic life event or to write about their plans for that day- both groups write 20-minute essays four days in a row and six months later are asked how many days they have spent in the hospital. Expressive writing condition: 2, 5, 1, 4, 4, 2, 3 Control condition: 8, 8, 5, 2, 7, 5, 7 Which statistical test would you select: Ho: H₁: Enter the data above into and JAMOVI and use the correct statistical procedure to test the null hypothesis - answer the following questions: What is the mean difference between the two samples? What is the standard error of the mean? What is the appropriate 95% CI? [ What is the d-effect size? What is the t-observed? } Based on the p-value (a = .05) should…
Prospective studies on nutrition often require subjects to keep detailed daily dietary logs. In contrast, retrospective studies often rely on recall. Which method (dietary logs or retrospective recall) do you believe is more likely to achieve accurate results? Explain your response.
The success of an airline depends heavily on its ability to provide a pleasant customer experience. One dimension of customer service on which airines compete is on-time arrival. The file LateFlights contains a sample of data from delayed fights showing the number of minutes each delayed fight was late for two different airlines, Deita and Southwest. Click on the datafile logo to reference the data. DATA file Delta Southwest Delta Southwest Delta Southwest Delta Southwest Delta 36 30 34 38 119 120 63 37 35 67 114 53 102 55 8 87 68 100 43 50 86 74 17 66 87 35 40 34 64 41 53 30 86 33 57 61 7. 46 52 26 70 62 75 54 80 a. Formulate the hypotheses that can be used to test for a difference between the population mean minutes late for delayed flights by these two airlines. H1= population mean minutes late for delayed Deita flights Ha= population mean minutes late for delayed Southwest flights Ho: H- 2 Select your answer H.: -a -Select your answer b. What is the sample mean number of minutes…
The success of an airline depends heavily on its ability to provide a pleasant customer experience. One dimension of customer service on which airines compete is on-time arrival. The file LateFlights contains a sample of data from delayed fights showing the number of minutes each delayed fight was late for two dfferent airlines, Deita and Southwest. Click on the datafile logo to reference the data. DATA file Delta Southwest Delta Southwest Delta Southwest Delta Southwest Deita 36 30 34 38 119 120 63 37 35 67 114 53 102 55 8 87 68 100 43 50 86 74 17 66 87 35 40 34 64 41 53 30 86 33 57 61 7. 46 S2 26 70 62 75 54 80 a. Formulate the hypotheses that can be used to test for a difference between the population mean minutes late for delayed flights by these two airlines. 41= population mean minutes late for delayed Deita flights Ha = population mean minutes late for delayed Southwest flights Ho: H- 2Select your answer H.: -4a- Select your answer b. What is the sample mean number of minutes…
For the three-part question that follows, provide your answer to each question in the given workspace. Identify each part with a coordinating response. Be sure to clearly label each part of your response as Part A, Part B, and Part C.Part A: What is the term for a generalization made about a population using the data from a sample?Part B: Name one challenge that may occur when using a sample to draw a conclusion about a population.Part C: A researcher collects data about the annual salary of employees who work in the information technology field. It would be difficult to survey all employees, so a sample of the population is surveyed. The data is recorded below. Use the table to write one conclusion that can be drawn. Explain why this conclusion is valid. Salary Range (Per Year) Number of Employees $50,000-$59,999 147 $60,000-$69,999 159 $70,000-$79,999 225 $80,000-$89,999 27
University researchers published a working paper. One of the objectives of the study was to determine whether ride-share drivers actually make a profit.
A gym wishes to evaluate the effectiveness of its programs. When a new member joins the gym, they meet with a trainer who designs a recommended routine based on the member’s current fitness and their goals. The recommended routines can be classified into high, medium, or low effort. Historically, 68% of the new members get a high effort routine, 21% get a medium effort routine, and the rest get a low effort routine. After the first six months as members, the gym surveys the members’ adherence to the recommended routine. The gym classifies a member’s performance as optimal if they follow the recommended routine for the six months, or as inferior otherwise. According to the historical results of the survey, 84% of the members with a low effort routine, 22% of the members with a medium effort routine, and 69% of the members with a high effort routine report optimal performance. After the first six months of joining the gym, a member can obtain different results: they can either…
A pool of 500 Houston residents indicated that 16% of them participated in Women’s March on January 21, 2017. We are interested in figuring out the actual percentage of Houston residents that participated in Women’s March. Please answer the following questions. 1. What kind of data is this? Numerical data Categorical data 2. What is the research question? What is the population proportion of Houston residents who participated in Women’s March? What is the percentage of 500 Houston residents who participated in Women’s March? What is the population of Houston residents? What is the sample proportion among the 500 Houston residents who participated in Women’s March? What is the population of Houston residents who participated in Women’s March? What is the pool of 500 Houston residents? 3. What is the population of interest? All Houston residents All US residents 16% of the 500 Houston residents from the pool who participated in Women’s…
In February 2021, the Chicago Tribune reported:“The overdose epidemic that has ravaged Chicago has not spared the nearby suburbs, some of which have death rates comparable to anything seen in the city, according to a report released this week by the Cook County Department of Public Health. ZIP codes in the towns of Worth, Broadview, Maywood, and Forest Park, areas that “have substantially lower median household incomes and higher poverty rates,” have been especially hard-hit, the report said.”In the article, they claimed that lower incomes were associated with higher overdose death rates and that overdose death rates are increasing over time. The data you have been analyzing wasn’t focused on Chicago, obviously. But do your results support the general gist of the statistical argument being made in this Tribune excerpt? Please address:• Do overdose death rates appear to be associated with per capita income (use scatterplot)?• Do overdose death rates appear to be increasing over time…
Opinions are split about a coffee company's pumpkin-flavored coffee (PFC). Yet every year over the last five years the consumption of pumpkin-flavored goods has increased. If we look at the numbers, it also becomes clear why a leading coffee company keeps offering the PFC earlier and earlier every year. According to a magazine, the amount spent by PFC buyers at the coffee company is about 17% higher than non-PFC buyers. The accompanying table shows a random sample of eight consumers, the amount they spend per week, and the number of PFCs purchased per week. PFC Spending 2 13.88 7 39.11 4 19.79 1 9.84 3 15.43 1 21.52 5 37.39 3 13.85 Calculate the slope and y-intercept for the regression formula. The slope is b1=(Round to three decimal places as needed.)
Over doses from opioids have captured the national spotlight. Rightly so - they kill nearly 30,000 Americas a year and cause more than 1 million hospitalizations. However, the misuse of over-the-counter pain medications (e.g. Tylenol, Advil, Aleve) can cause stomach bleeding, ulcers, liver disease and, in some cases, death. Approximately 80% of Americans use these medications to relieve headaches, backaches, sore muscles, and reduce fever but they are unaware of the dangers if the drugs are not used correctly. A random sample (n=101) of adults were given a questionnaire to ask the question "How often do you use pain medication in one day?". Using the output, histogram, box-whisker plot, and the QQ Plot attached - check the assumption of normality for this data. PainNormalitylnformationoutputhistbox 210317.pdf. 1. continuous 2. H-spread The assumption of normality was checked by comparing the and the median. 3. kurtosis 4. left This suggests that the distribution is slightly skewed. 5.…
Opinions are split about a coffee company's pumpkin-flavored coffee (PFC). Yet every year over the last five years the consumption of pumpkin-flavored goods has increased. If we look at the numbers, it also becomes clear why a leading coffee company keeps offering the PFC earlier and earlier every year. According to a magazine, the amount spent by PFC buyers at the coffee company is about 17% higher than non-PFC buyers. The accompanying table shows a random sample of eight consumers, the amount they spend per week, and the number of PFCs purchased per week. PFC Spending 2 13.88 7 39.11 4 19.79 1 9.84 3 15.43 1 21.52 5 37.39 3 13.85 The slope is b1=4.465 The y-intercept is b0=6.840 Because the slope is positive, it can be concluded that one extra PFC purchase per week will increase the average amount of spending per week by 4.46 dollars. Predict…

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