A Gallup Poll in June 2019 asked 1015 randomly sampled adults living in the United States about their beliefs on how humans originated. Here is a tableof their responses:ResponseCount(1) Humans evolved with God guiding335(2) Humans evolved but God had no part in the223process(3) God created humans in their present form406(4) Other/No opinion51Ten years prior, 32% of U.S. adults believed that humans evolved with God guiding, 15% believed that humans evolved but God had no part in theprocess, 46% believed that God created humans in their present form, and 7% believed something else or had no opinion.Has the distribution of beliefs changed since 2009? The conditions for this test are satisfied because (select all of the correct options):The sample size is greater than 30.This was a random sample so observations can be considered to be independent.The distribution is nearly normal.All expected counts are at least 5.

The chi-square goodness of fit test can be used to determine whether a sample distribution follows…

Answered: A Gallup Poll in June 2019 asked 1015…

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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A report describes a survey of 251 adult Americans. Participants in the survey were asked how often they disinfect their phone and were asked to respond with one of the following categories: more than once a week, once a week, every other, week, every three weeks, or less often than every three weeks. For this group, 9% responded more than once a week, 52% responded once a week, 26% responded every other week, 6% responded every three weeks, and 7% responded less often than every three weeks. Fill in the table below with the relative frequency distributions. How Often? Relative Frequency More than once a week Once a week Every other week Every three weeks Less often than every three weeks
THE MANAGER OF A SERVICE STATION IS IN THE PROCESS OF ANALYZING THE NUMBER OF TIMES CAR OWNERS CHANGE THE OIL IN THEIR CARS. SHE BELIEVES THAT THE AVERAGE MOTORIST CHANGES HIS OR HER CAR'S OIL LESS FREQUENTLY THAN RECOMMENDED BY THE OWNER'S MANUAL (TWO TIMES PER YEAR). IN A PRELIMINARY SURVEY SHE ASKED 14 CAR OWNERS HOW MANY TIMES THEY CHANGED THEIR CARS' OIL IN THE LAST 12 MONTHS. THE RESULTS ARE 1, 1, 2, 0, 3, 3,0, 1, 0, 1, 2, 3, 3, AND 1. 2.1 Does this data provide sufficient evidence at the 10% significance level to indicate that the manager is correct? 2.2 Ho: H₁: Rejection region: Test statistic: Decision: Conclusion: What condition is required in order to analyze this data using a t-test?
HELP PLEASE!! Thank you! :)
In a survey of 233 people about the operating systems of various devices that they use (cell phone, tablet, laptop, etc.), the following results were obtained: 146 people use an Android device 150 people use an Apple device 79 people use Android and Apple devices 77 people use Android and Windows devices 67 people use an Apple device, but no Windows device 32 people use Android, Apple, and Windows devices 8 people use devices that are not Android, not Apple, and not Windows How many people use a Windows device?
A sample of 120 employees of a company is selected, and the average age is 37 is an example of . Survey responses of "good, better, best" is an example of . A tax auditor selects every 1000th income tax return to audit is an example of . The number of floors in a building is an example of
Your group is expected to interview at least 40 random persons about their preference for shopping online and whether they would be interested in such services. Record the following for each respondent: Age Gender Whether they go shopping at the supermarket/pharmacy. How many times they shop at the supermarket/pharmacy per month. Would they be interested in purchasing items from the supermarket/pharmacy online or through a mobile application? Would they be willing to pay a subscription fee to utilize this service? If yes what is the maximum fee that they would be willing to pay. The amount of money they are willing to pay to have the goods delivered to them. In the absence of a subscription fee or delivery fee, would they be willing to pay a marginally higher price for the good purchased online? If yes, what percentage would be reasonable [group in the following way: less than 1% higher, 1% - 5% higher, over 5% higher] Respondent Q1 Q2 Q3 Q4 Q5 Q6 Q7 Q8 1 28 F YES 3 NO NO $5…
As part of a study on how people of different ages use mobile technology, each person in a sample of 258 cell phone users age 20 to 39 was asked if they use their cell phones to stay connected while they are in bed. The same question was also asked of each person in a sample of 129 cell phone users age 40 to 49. In the 20 to 39 years age group, 168 people indicated that they do stay connected while they are in bed, whilst in the 40 to 49 years old age group, 61 people stay connected while in bed.Let: ??̂ 1 = Proportion of cell phone users age 20 to 39 who stay connected while they are in bed ??̂ 2 = Proportion of cell phone users age 40 to 49 who stay connected while they are in bed ??̂= Pooled proportion of cell phone users who stay connected while they are in bed
SWIMMER’S FLEXIBILITY STUDY Swimming requires complete body movement as defined in sports science. A swimmer’s flexibility helps in his/her movement in water, thus making him/her a faster swimmer. In a study conducted to determine if there is an improvement in swim speed after doing flexibility exercise, 15 swimmers of the same characteristics were randomly selected. They were asked to do a 25-m freestyle and their swim speed (in seconds) were recorded. After this, a flexibility exercise was done. All the swimmers were then asked to do another 25-m freestyle and their swim speed (in seconds) were also recorded. The data collected are given below and can also be found in the worksheet “swim_speed”of excel file “exer3_data.xlsx”. R outputs can be found in the file “exer3_outputs.pdf”.(Use before – after in your computations Swimmer 1 2 3 4 5 6 7 8 Before 16.87 19.42 20.04 22.82 24.24 17.76 23.91 17.17 After 15.82 18.47 20.43 21.76 23.88 18.12 20.96 16.03 Swimmer 9 10 11 12…
10) Last school year, the student body of a local university consisted of 35% freshmen, 24% sophomores, 26% juniors, and 15% seniors. A sample of 300 students taken from this year's student body showed the following number of students in each classification. Freshmen 90 Sophomores 60 Juniors 90 Seniors 60 We are interested in determining whether or not there has been a significant change in the classifications between the last school year and this school year. The expected frequency of seniors is a. 45 b. 35 c. 65 d. 55
A movie director who combines dark humor and neo-western in his films is curious about gender preferences about his movies. His team randomly sampled 12 male and 14 female movie fans and had them score one of his movies after watching it. Here are the scores: Males: 85 59 90 81 90 88 87 87 64 82 87 63Females: 79 79 79 83 76 77 74 85 69 75 82 77 72 63 In order to investigate whether there is enough evidence to conclude that males actually like his movies more, the test statistic is Blank 1. Fill in the blank, read surrounding text.and the p-value is Blank 2. Fill in the blank, read surrounding text.. (Hint:Assume the populations are Normal and variances are equal, Use the mean of males as Mu1)
As part of a study on how people of different ages use mobile technology, each person in a sample of 258 cell phone users age 20 to 39 was asked if they use their cell phones to stay connected while they are in bed. The same question was also asked of each person in a sample of 129 cell phone users age 40 to 49. In the 20 to 39 years age group, 168 people indicated that they do stay connected while they are in bed, whilst in the 40 to 49 years old age group, 61 people stay connected while in bed.Let: ??̂ 1 = Proportion of cell phone users age 20 to 39 who stay connected while they are in bed ??̂ 2 = Proportion of cell phone users age 40 to 49 who stay connected while they are in bed ??̂= Pooled proportion of cell phone users who stay connected while they are in bed
As part of a study on how people of different ages use mobile technology, each person in a sample of 258 cell phone users age 20 to 39 was asked if they use their cell phones to stay connected while they are in bed. The same question was also asked of each person in a sample of 129 cell phone users age 40 to 49. In the 20 to 39 years age group, 168 people indicated that they do stay connected while they are in bed, whilst in the 40 to 49 years old age group, 61 people stay connected while in bed. Let: = Proportion of cell phone users age 20 to 39 who stay connected while they are in bed ??̂ 2 = Proportion of cell phone users age 40 to 49 who stay connected while they are in bed ??̂= Pooled proportion of cell phone users who stay connected while they are in bed

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