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=101p=0.28Part 1 of 2It (Choose one) ▼|appropriate to use the normal distribution for probabilities.is notPart 2 of 2P(0.26 < p <0.30) =O

Sampling distribution of sample proportion (p^) is approximately normal if np > 10 and n(1-p)…

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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Please see the picture below. Note that the answer for this problem is not uniform distribution.
A normal distribution an be used to approximate the binomial distribution. Find the indicated probabilities using the information below. A survey of adults in a region found that 66% have encountered fraudulent charges on their credit card. You randomly select 100 adults in the region. Find the probability that the number who have encountered fraudulent charges on their credit card is at least 70. Round to four decimal places as needed.
Select all that apply. We show that our sample statistics have (at minimum) a somewhat normal distribution because this allows us to use t and z critical values. this allows us to use t and z tables for probabilities. this tells us that our sampling is appropriate. normal distributions are cool and that's all we talk about in this class.
I need help with part c
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.
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 normal distribution for probabilities. If appropriate, use the Central Limit Theorem to find the indicated probability. n=147 p=0.18 Part 1 of 2 It is appropriate to use the normal distribution for probabilities. Part 2 of 2 P(0.15
Determine if the finite correction factor should be used. If so, use it in your calculations when you find the probability. In a sample of 700 gas stations, the mean price for regular gasoline at the pump was $2.898 per gallon and the standard deviation was $0.008 per gallon. A random sample of size 60 is drawn from this population. What is the probability that the mean price per gallon is less than $2.897? The probability that the mean price per gallon is less than $2.897 is (Round to four decimal places as needed.)
Choose the correct distribution to use. The distribution of scores is normal and you know the population standard deviation. Regardless of sample size you use: Select an answer z-score t-score Binomial Geometric Poisson None The original distribution is NOT normal, you know the population standard deviation and your sample size is large (greater than 30), then you use: Select an answer z-score t-score Binomial Geometric Poisson None The original distribution is normal, you do NOT know the population standard deviation. You do have a sample standard deviation. You would then use: Select an answer z-score t-score Binomial Geometric Poisson None The original distribution is NOT normal, you do NOT know the population standard deviation and your sample size is small (less than 30), then you use: Select an answer z-score t-score Binomial Geometric Poisson None The original distribution is discrete, you know the probability of success and you are looking for the probability of getting xx…

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