Below, n is the sample size, p is the population proportion, and p is the sample proportion. First, check if the assumptions are satisfied to use the normaldistribution for probabilities. If appropriate, use the Central Limit Theorem to find the indicated probability.n=100p=0.23Part 1 of 2It (Choose one) ▼ appropriate to use the normal distribution for probabilities.Part 2 of 2P6<0.15)=D989OCT10MacBook Air80888F7F8F3F4FS$&

Answered: Image /qna-images/answer/322d686f-0719-4e66-be2c-57aa3774736a.jpg

Answered: Below, n is the sample size, p is the…

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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When should a s distribution be used? When there are how many cases in a sample? When should a t distribution be used? When there are how many cases in a sample?
According to the central limit theorem (CLT), no matter which distribution the data is collected from, as long as some conditions are met, we can always expect the sample average to behave like a normal random variable, i.e., the sampling distribution can be approximated by a normal distribution. Which is NOT a CLT condition for sample mean? Group of answer choices The original distribution of the data is Normal. A random sample with sample size is larger than 30 with no extreme outlier A random sample with sample size is less than 30 with no outliers. The sample size has to be larger than 10.
#1). show work, need help solving First picture is sample, second picture is the ones that need to be solved.
Q5: Please answer all sections
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5
I. TRUE OR FALSE. Choose A if the statement is always true, otherwise choose B. 1. The sum of the probabilities of all values of the random variable must be equal to 1. 2. The capacity of water dams in a region is an example of continuous random variable. 3. The formula u = is used to compute for the mean of a probability distribution. IxF(x) 4. A standard normal curve is a normal probability distribution that has a mean of one and standard deviation of one 5. The width of the curve in normal distribution is determined by the mean of the distribution. 6. The mean of the sampling distribution of the sample means is less than the population mean. 7. The standard error of the mean is the standard deviation of the sampling distribution of the sample means. 8. The sampling variability of the sample means becomes smaller as the sample size n gets larger. 9. In estimating the mean, the degrees of freedom is equal to (n - 1) when using the t- distribution. 10. The t-distribution is asymmetric…
Q4
The probability distribution of a random variable X is given below.
X 6.3.10 Question Help Three randomly selected households are surveyed. The numbers of people in the households are 2, 4, and 9. Assume that samples of sizen=2 are randomly selected with replacement from the population of 2, 4, and 9. Construct a probability distribution table that describes the sampling distribution of the proportion of odd numbers when samples of sizes n= 2 are randomly selected. Does the mean of the sample proportions equal the proportion of odd numbers in the population? Do the sample proportions target the value of the population proportion? Does the sample proportion make a good estimator of the population proportion? Listed below are the nine possible samples. 2,2 2,4 2,9 4,2 4,4 4,9 9,2 9,4 9,9 Construct the probability distribution table. Sample Probability Proportion (Type an integer or fraction.)
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