Refer to the figure at the right. At a =0.10, can you reject the claim that the proportion of 18 to 24-year-olds living in their parents' homes in2000 was the same for men and women? Assume the survey included a random sample of 248 men and 244 women.Percentage of 18-to 24-year olds livingin parents' homes70-51.5%41.2%46.6% 44.3%0-2012I Women2000MenIdentify the null and alternative hypotheses. Choose the correct answer below.O A. Ho: P1 #P2Ha: P1 = P2O B. Ho: P, P2c. Họ: P1 = P2Ha: P1 #P2O D. Ho: P1 >P2Ha: P1 SP2Find the critical value(s).The critical value(s) is(are) ±1.65.(Round to two decimal places as needed. Use a comma to separate answers as needed.)Find the standardized test statistic.(Round to two decimal places as needed.)

For the given data perform z test for two proportion test

Answered: Percentage of 18-to 24-year olds living…

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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should have the right to marry. (The 2014 data were collected before the 2015 U.S. C2. GSS 2014 and GSS 2018 respondents were asked their opinion on whether homosexuals 30 measured on a 5-point scale from strongly agree (1) to strongly disagree (5). Supreme Court decision granting same-sex couples the right to marry. Responses wer measured on a 5-point scale from strongly agree (1) to strong!y aisagiee (2). Cumulative Percentage Homosexuals Should Have Right to Marry (2014) Percentage Frequency 32.5 32.5 Strongly agree 251 57.5 25.2 Agree 195 67.3 Neither agree nor disagree 9.6 74 79.2 Disagree 92 11.9 100.0 Strongly disagree 161 20.8 Total 773 100.0 Homosexuals Should Have Cumulative Right to Marry (2018) Frequency Percentage Percentage Strongly agree 293 39.5 39.5 Agree 200 27.0 66.5 Neither agree nor disagree 70 9.4 75.9 Disagree 67 9.0 84.9 Strongly disagree 111 15.0 99.9 Total 741 99.9 a. What is the level of measurement for this variable? b. What is the mode for 2014? For 2018?
The percentile is the: Question 5 options: same thing as a percentage. percentage of scores falling at or below a particular raw score. percentage of scores falling at or above a particular raw score. percentage of scores falling between a particular raw score and the mean.
Imagine the data below are the GPAs for a sample of 60 sophomores at your university. Prepare a relative frequency distribution (use proportions), using an interval width of .30 and .90-1.19 as the score limits for the lowest interval. 3.08 1.81 3.63 2.52 2.97 3.48 1.00 2.70 2.95 3.29 1.40 2.30 4.00 2.69 2.92 3.34 3.00 3.37 3.01 2.11 2.36 3.23 2.99 2.61 3.02 3.27 2.65 3.89 1.60 2.31 3.93 2.98 3.59 3.04 2.88 3.76 2.28 3.25 3.14 2.85 3.45 3.20 1.94 3.80 2.58 3.26 2.06 3.99 3.06 2.40 2.44 2.81 3.68 3.03 3.30 3.54 3.39 3.10 3.18 2.74
The midterm and final exam grades for a statistics course are provided in the data set below. Jaymes, a student in the class, scored 86 on both exams. Treat the given data sets as samples. Midterm: 80, 78, 85, 82, 79, 79, 78, 86, 80, 84, 78, 84, 80, 84, 81, 78, 81, 82, 78, 84 Final: 81, 88, 68, 69, 69 81, 82, 86, 76, 71, 72, 68, 77, 86, 68, 83, 84, 71, 81, 87 z-score for midterm: 1.857 z-score for final: 1.181 Based on the z-scores calculated above, which of Jaymes's grades is more unusual, the midterm grade or the final exam grade? Select the correct answer below: A. The absolute value of the z-score for the final exam grade is greater than for the midterm grade, so the final exam grade is more unusual. B. The absolute value of the z-score for the midterm exam grade is less than for the final grade, so the midterm grade is more unusual. C. The absolute value of the z-score for the midterm exam grade is greater than for the final grade, so the midterm grade is more…
The national distribution of fatal work injuries in a country is shown in the table to the right under National %. You believe that the distribution of fatal work injuries is different in the western part of the country and randomly select 6231 fatal work injuries occurring in that region. At a = 0.05 National % 42% Western Frequency 2893 Cause Transportation can you conclude that the distribution of fatal work injuries in the west is different from the national distribution? Complete parts a through d below. Equipment Assaults Falls Harmful fumes 19% 1157 14% 806 13% 753 10% 532 Fires 2% 90 a. State Ho and H and identify the claim. What is the null hypothesis, Ho? O A. The distribution of fatal work injuries in the west is 42% transportation, 19% equipment, 14% assaults, 13% falls, 10% harmful fumes, and 2% fires O B. The distribution of fatal work injuries in the west differs from the expected distribution. O C. The distribution of fatal work injuries in the west is 2893…
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Suppose that you are using independent samples to compare two population proportions. Fill in the blanks. a. The mean of all possible differences between the two sample proportions equals the_______.b. For large samples, the possible differences between the two samplel proportions have approximately a_________distribution.
The table to the right shows selected ages of licensed drivers in one country and the corresponding percentiles. Find the percentage of drivers who are younger than 35. Age Percentile 75 98 65 86 55 78 45 57 35 39 25 17 20 The percentage of drivers who are younger than 35 is %. (Type a whole number.)
If you have a known value of 16, which of the following is the best average of your data to verify the known value? O 12.5 + 6.02 O 16 + 3.03 O 14.2 + 2.03 O 14.2 + 3.6
A number of attendees at a sporting event were asked their age. The results are depicted in the histogram below. According to the histogram, what percentage of individu- als surveyed are older than 14 but younger than 20? 30 25 25 20 18 15 12 10-14 15-19 20-24 25-29 20
The home run percentage is the number of home runs per 100 times at bat. A random sample of 43 professional baseball players gave the following data for home run percentages.
What is the proportion that lies between the z scores under the normal curve? A. 1.00 and -1.00 B. 1.96 and -1.96 C. 2.58 and -2.58 D. 0.00 and 1.00 E. 1.50 and 0.10 F. 2.00 and 0.80

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