3. In 2010, the United Nations claimed that there was a higher rate of illiteracy in men thanin women from the country of Qatar. A humanitarian organization tested reading abilityin a random sample of Qataris. The results revealed that 45 out of 234 men and 42 out of251 women were illiterate. Do these results indicate that the United Nations findingswere correct?a. State your null and altenative hypotheses.b. If you pool the men and women together, what percent of the overall sample is illiterate?c. Calculate the standard error and draw and label the sampling distribution.d. Calculate a test statistic and P-value.e. Explain what your P-value means in this context.f. If a (alpha) = .1, what do you conclude?

Here AS PER POLICY I HAVE CALCULATED 3 SUBPART

Answered: a. State your null and alternative…

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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Suppose a random sample of 816 athletes from the college are asked what their major is. The table below shows the results of the survey. Observed Frequencies of Majors from the Sample Outcome Observed Frequency Math/Science 134 Arts & Humanities 233 Business & Economics 191 Other 258 The distribution of majors at the college is shown in the second column of the table below. Fill in the expected frequencies. (Round to the nearest whole number). Frequencies of Majors at the College Outcome Expected Percent Expected Frequency Math/Science 21 Arts & Humanities 26 Business & Economics 35 Other 18
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Prof. Jacob wants to know, with 90% confidence, the proportion of students who like to eat in the cafeteria. A previous survey showed that 62% like to eat in the cafeteria. Prof. Jacob likes to be accurate with an error of 0.025 of its true proportion. What sample size does Prof. Jacob need?* A. 1,020 B. 1,020.06 C. 1,021 D. 1,022
Let's examine the mean of the numbers 1, 2, 3, 4, 5, 6, 7, and 8 by drawing samples from these values, calculating the mean of each sample, and then considering the sampling distribution of the mean. To do this, suppose you perform an experiment in which you roll an eight-sided die two times (or equivalently, roll two eight-sided dice one time) and calculate the mean of your sample. Remember that your population is the numbers 1, 2, 3, 4, 5, 6, 7, and 8. The true mean (µ) of the numbers 1, 2, 3, 4, 5, 6, 7, and 8 is , and the true standard deviation (o) is The number of possible different samples (each of size n = 2) is the number of possibilities on the first roll (8) times the number of possibilities on the second roll (also 8), or 8(8) = 64. If you collected all of these possible samples, the mean of your sampling distribution of means (µM) would equal and the standard deviation of your sampling distribution of means (that is, the standard error or ɑm) would be The following chart…
Make your own example of mean and variance of a sampling distribution. Also, construct the sampling distribution.
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You are the operations manager for an airline and you are considering a higher fare level for passengers in aisle seats. How many randomly selected air passengers must you survey? Assume that you want to be 95% confident that the sample percentage is within 5.5 percentage points of the true population percentage. Complete parts (a) and (b) below. a. Assume that nothing is known about the percentage of passengers who prefer aisle seats. n = (Round up to the nearest integer.) b. Assume that a prior survey suggests that about 34% of air passengers prefer an aisle seat. n = IDound un to the nearest integer)
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4. Suppose that 15% of all students at your school ride a bicycle to class each day. Suppose further that you take a random sample of 80 students at your school. a. Is 15% number a parameter or a statistic? Explain briefly. b. Are you guaranteed that 15% of your sample ride a bicycle to class each day? Explain briefly. c. Describe the sampling distribution of the sample proportion of these 80 students who ride a bicycle to class each day. (Hint: Be sure to refer to the shape, center, and spread of this sampling distribution.) Also include a well- labeled sketch of this distribution. HCL SYstem
You are the operations manager for an airline and you are considering a higher fare level for passengers in aisle seats. How many randomly selected air passengers must you survey? Assume that you want to be 99% confident that the sample percentage is within 4.5 percentage points of the true population percentage. Complete parts (a) and (b) below. a. Assume that nothing is known about the percentage of passengers who prefer aisle seats. n = 820 (Round up to the nearest integer.) b. Assume that a prior survey suggests that about 39% of air passengers prefer an aisle seat. n=0 (Round up to the nearest integer.) C
You are the operations manager for an airline and you are considering a higher fare level for passengers in aisle seats. How many randomly selected air passengers must you survey? Assume that you want to be 90% confident that the sample percentage is within 5.5 percentage points of the true population percentage. Complete parts (a) and (b) below. a. Assume that nothing is known about the percentage of passengers who prefer aisle seats. (Round up to the nearest integer.) b. Assume that a prior survey suggests that about 38% of air passengers prefer an aisle seat. (Round up to the nearest integer.)
The sample mean is the point estimator of а. O b. o О с. р С. O d. H

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a. State your null and alternative hypotheses. b. If you pool the men and women together, what percent of the overall sample is illiterate? c. Calculate the standard error and draw and label the sampling distribution.