Suppose it is reported that 75 % of people subscribe to aI cable or satellite television service. You decide to test thisclaim by randomly sampling 131 people and asking them ifthey subscribe to cable or satellite televsion. (Round youranswer to 4 decimals when necessary)Is the distribution of the sample proportion normal?Yes, the distribution of sample proportions is normalsince np(1 − p) ≥ 10O No, the distribution of sample proportions is notnormal since np(1 − p) < 10What is the mean of the distribution of the sampleproportion?H₂²op= 0.75What is the standard deviation of the distribution of thesample proportion?X0.0551X

population proportion p = 0.75sample size, n = 131 people

Answered: Suppose it is reported that 75 % of…

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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Given that 113 out of a random sample of 310 adults indicated that they support the practice of changing clocks twice a year in observance of Daylight Saving Time, what will the sample proportion (or ) be? Please compute this value below and round your answer to three decimal places. Do you think your conclusion would have been different if the sample size had been larger? Please explain, and as you answer this, assume that a larger sample size would have resulted in the same sample proportion as what you computed to answer Question 4.
K- If you want to be 99% confident of estimating the population proportion to within a sampling error of ±0.05, what sample size is needed? D A sample size of is needed (Round up to the nearest integer.)
I got an answer of 32 and it kept telling me wrong. I don't know what I'm doing wrong
Please give an answer with a calculation and give an explanation of the correct and incorrect option.
Homser Lake, Oregon, has an Atlantic salmon catch-and-release program that has been very successful. The average fisherman's catch has been ? = 9.0 Atlantic salmon per day. Suppose that a new quota system restricting the number of fishermen has been put into effect this season. A random sample of fishermen gave the following catches per day:12 6 11 12 5 0 27 8 7 6 3 12 12 I need help with (b) and the value of the sample test statistic
The Census Bureau gives this distribution for the number of people in American households in 2016. Family size 1 2 4 6. 7 Proportion 0.28 0.35 0.15 0.13 0.06 0.02 0.01 Note: In this table, 7 actually represents households of size 7 or greater. But for purposes of this exercise, assume that it means only households of size exactly 7. Suppose you take a random sample of 4000 American households. About how many of these households will be of size 2? Sizes 3 to 7? The number of households of size 2 is about The number of households of size 3 to 7 is about
For the sampling distribution of sample proportions, if np>5 and nq>5 then the mean of the distribution is the population proportion. True False
Male Female27,329 22,49814,596 24,5893,890 5,06827,315 16,72525,067 10,3808,480 16,57219,490 10,75516,334 19,12228,183 11,82721,356 18,61212,674 15,73210,066 11,42311,288 17,79220,679 24,76719,722 6,359369 19,57118,284 21,81211,653 19,68618,981 18,29415,412 13,48515,839 31,24320,391 9,4316,069 16,1216,072 4,22624,527 12,6649,492 20,22511,618 14,59813,916 22,04613,081 20,08517,460 11,13913,491 35,7097,630 8,54121,263 9,82216,455 12,38511,590 28,05515,409 19,22816,827 16,21710,596 17,72618,005 20,00612,428 16,58313,727 19,8574,706 14,49917,168 17,97412,641 17,22015,661 28,75616,855 38,40718,490 25,78537,993 33,38319,196 25,06447,688 30,26225,062 18,14310,357 7,59515,653 23,8969,962 16,4425,377 16,53619,537 26,129
8.7 If you test a hypothesis and reject the null hypothesis in favor of the alternative hypothesis, does your test prove that the alternative hypothesis is correct? Explain.
Suppose I want to sample the household incomes for EBR parish. Let's say I start with a simple random sample of 100 residents and calculate the sample mean. How would the sampling distribution of    change if I increase the sample size to 1,000 residents?
At a large university, 68% of the students have a laptop, while only 43% of professors have one. Let  and  be the sample proportions of students and professors, respectively, who have a laptop. Suppose 56 students and 31 professors from this university are selected at random and asked if they have a laptop. Which of the following is the correct calculation and interpretation of the standard deviation of the sampling distribution of  ? The difference (student – professor) in the sample proportions of those who have a laptop typically varies about 0.012 from the true difference in proportions. The difference (student – professor) in the sample proportions of those who have a laptop typically varies about 0.035 from the true difference in proportions. The difference (student – professor) in the sample proportions of those who have a laptop typically varies about 0.109 from the true difference in proportions. The difference (student – professor) in the sample proportions of those who…
Suppose a researcher wants to estimate the population proportion of defective light bulbs. He took a random sample of 800 light bulbs and 40 of them found out to be defective. Suppose the researcher claims that the defective proportion of light bulb is less than 7%. Suppose he wants to test this claim at 5% significance level.   Calculate the test statistics. (Round your answer to two decimal places )

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