23. Ten functionally illiterate adults were given an experimental one-week crashcourse in reading. Each of the ten adults was given a reading test prior to thecourse and another test after the course. The results are shown below.AdultScore after courseScore before course48312423434543345018 30 4467893043384128 34 33 27103832siema) Is there enough evidence to infer at the 5% significance level that the readingscores have improved? Perform 6 step Hypothesis test.b) Estimate the mean improvement with 95% confidence. Briefly explain what theinterval estimate tells you.

Solution: Let x= Score after course and y= score before course d= x- y x y d=x-y (d-d)2 48 31…

Answered: 23. Ten functionally illiterate adults…

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 class is made out of 22 students, The sample mean is 26.91, and the sample st. dev is 10.46. ? = 0.05 Gender F F M F F F M F M F F M F F F M F M F M M F Age 39 19 17 44 33 22 48 21 29 28 28 21 54 19 18 23 21 21 19 23 18 27 laim: the average age of online students is 32 years old. Can you prove it is not?o What is the null hypothesis?o What is the alternative hypothesis?o What distribution should be used?o What is the test statistic?o What is the p-value?o What is the conclusion?o How do we interpret the results, in context of our study?
10
7) 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 hypothesis is to be tested at the 2.5% level of significance. The critical value from the table equals a. 1.96 b. 11.345 c. 7.815 d. 9.348
3) What proportion of people scored worse than 14 or better than 22, based on the following sample: 20 11 16 26 13 28 15 18 21 14 12 17
2. Below is data on the number of vehicles involved in a fatal crash and city in California during 2019. City Single-ve Two-vehicle hicle crash fatalities Los Angeles 175 San Diego 61 San Jose San Francisco Fresno 49 22 33 Sacramento 28 Long Beach 26 crash fatalities 69 19 19 a 13 2. Is there enough evidence to support that the number of vehicles involved in a crash is related to the city in which the accident occur? null and alternate hypotheses test statistic, critical value and/or p-value expected counts reject or fail to reject the null hypothesis ● conclusion in plain English
1. Ten subjects were chosen for an experiment. They were asked to perform a certain physical activity. The number of heartbeats per minute, before and after experiment are recorded as follows: Subject Before After Subject Before After number number 1 60 92 72 76 2 67 79 7 71 73 72 72 8 69 81 4 71 80 75 80 68 72 10 68 76 Is there sufficient evidence to indicate that the experiment condition increases the number of heartbeats per minute? Use a .05 level of significance.
1.
A survey described the results of a poll of working adults in Canada. Each person in a random sample was classified according to gender and the number of vacation days he or she usually took each year. The resulting data are summarized in the given table. Days of Vacation Gender Male Female None 51 42 1-5 21 25 6-10 67 79 11-15 106 98 16-20 71 70 21-25 82 58 More than 25 118 79 (a) Is it reasonable to conclude that there is an association between gender and the number of vacation days taken?Test the appropriate hypotheses using a 0.05 significance level. Calculate the test statistic. (Round your answer to two decimal places.)?2 =
5. A high school teacher wants to see if there is an effect on vocabulary recall between when students take a quiz before lunch and when they take it after lunch. She randomly selected 10 students and assessed them before lunch on Tuesday. On Wednesday she randomly selected 10 students and assessed them after lunch. The following were the percentage results Before lunch 62 60 68 64 72 75 63 60 64 80 After lunch 72 85 72 62 84 76 66 63 65 64 What type of samples were selected – independent or dependent (paired)? Explain. StatCrunch was used to analyze the data, and the output for both types of samples (independent and dependent) is given below. Using the appropriate output, determine if the mean quiz score is higher for those who take the quiz before lunch over those who take the quiz after lunch at a significance level of 0.05. Hypothesis test results: mean before lunch mean after lunch Hypothesis test results: : µi - µ2 : mean of the PAIRED difference µ2 : between Before and After…
50) A vending machine company wants to check three of its machines to determine if they 50) are properly dispensing 12 ounces of coffee. Their data is given below. Machine A Machine C Machine B 11.8 11.7 12.2 12.1 11.9 12.1 12.0 12.0 11.7 11.9 11.8 11.9 12.2 12.0 12.1 Compute the test value for the coffee machines. B) 2.25 9 5.06 D) 4.86 A) 6.62
5. A cancer patient signs up for a process to test a medicine, but she does not know whether she actually gets the actual medicine or a placebo. Which type of research is she involved in? Group of answer choices An Observational Study An Anecdote A Designed Experiment A Retrospective Study

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