In the simulation, when we are building asampling distribution, what does each dotrepresent in the graph?The population proportion of femalecollege students at is 60%, p= = 0.6.What is the mean of the sampleproportions for this sampling distribution?(Generated by StatKey, upperright corner)What is the sampling error for this dataset?(Generated by StatKey,upper right corner)The shape of this distribution would beconsideredSampling Distribution (n = 250)Let's create a new sampling distribution. Wewill use the same population proportion, butthis time, let's collect 120 samples of size250.

Sample size (n)=250 Probability (p)=0.6 a... In the simulation, when we are building a sampling…

Answered: In the simulation, when we are building…

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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What is the shape of the sampling distribution?
draw/graph how random error sampling due to variation in observation and systematic bias/error can be altered by sample size with sample size being on the horizontal axis and error being on the Y. (plot a line for each reflecting how they relate)
Suppose that insurance companies did a survey. They randomly surveyed 400 drivers and found that 310 claimed they always buckle up. We are interested in the population proportion of drivers who claim they always buckle up. Which distribution should you use for this problem? (Round your answer to four decimal places.)
Recent studies have shown that about 16% of American adults fit the medical definition of being obese. A large medical clinic would like to estimate what percentage of their patients are obese, so they take a random sample of 400 patients and find that 52 are obese. Suppose that in truth, the same percentage holds for the patients of the medical clinic as for the general population, 16%. Find the mean of the sampling distribution of p̂.
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…
Letter (d) Would i be wrong if i said yes the data set consisting of the annual salary for each employee at the MNM company is a population since no employee salary is excluded from the data
A researcher wants to check the claim that a certain species of reptile spend an average of 18.2 months in quaratine before being transported to another facility. She takes a random sample of 25 such cases from files and finds that ī = 18.9 months and the sample standard deviation, s = 3.6 months. Test the claim at the 0.1 significance level. What are the correct hypotheses? (Select the correct symbols and use decimal values not percentages.) Ho: Select an answer v months H: Select an answer v months Original claim = Select an answer v Based on the hypotheses, find the following: Test Statistic = |(Round to three decimal places and show work in the "show work" box below.) p-value = (Round to four decimal places and show work in the "show work" box below.) Critical values = ± (Round to three decimal places.)
As the sample size increases, the mean of the sampling distribution ▼ stays the same. gets larger. gets smaller.
At a Stanford University,37%of students support green party.suppose a sample of size 94 students and are interested inthe population proportion of students who support that party.find the sampling distribution of sample proportion?

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