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 = 0.22Part 1 of 2It isPart 2 of 2appropriate to use the normal distribution for probabilities.P(0.20

From the provided information, Sample size (n) = 100 Population proportion (p) = 0.22

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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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
A population of values has a normal distribution with M=153.9 and O=82.9 You intend to draw a random sample of size n=115. A). Find P86, which is the score separating the bottom 86% scores from the top 14% scores. P86 (for single values) =__________ B). Find P86, which is the mean separating the bottom 86% means from the top 14% means. P86 (for sample means) =_________
You are playing a card came, and the probability that you will win a game is p If you play the game 601 times, what is the most likely number of wins? (Round answer to one decimal place.) μl = Let X represent the number of games (out of 601) that you win. Find the standard deviation for the probability distribution of X. (Round answer to two decimal places.) 0= The range rule of thumb specifies that the minimum usual value for a random variable is u-20 and the maximum usual value is μ+20. You already found μ and o for the random variable X. 0.88. Use the range rule of thumb to find the usual range of X values. Enter answer as an interval using square- brackets and only whole numbers. usual values = Question Help: Written Example Message instructor Submit Question Jump to Answer
t- distribution is a probability distribution used to estimate parameters EXCEPT when: a. The population standard deviation is known b. The sample size is small c. The population variance is unknown d. The sample size is small and population variance is unknown
Assume that variable z has a standard normal distribution in the population. Use the table of the standard Normal Distribution (attached) to find the probability of a z value in each of the following intervals: (a) 0 to 1.65; (b) 1.95 to ∞; (c) -1.30 to 0; (d) -∞ to 1.00.
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.
Find the proportion of the area given the following notations. Sketch a normal curve. Then shade the required region of the given probabilities1. P (z > 1.72)2. P (-1.08 < z < 2)
Apply the Central Limit Theorem for Sample Means Let X represent the height of a college student in a small city. Assume that X has a normal probability distribution with u = 65 in and o = 2.5 in. You intend to measure a random sample of n = 20 heights. What is the mean of the distribution of sample means? What is the standard deviation of the distribution of sample means (i.e., the standard error)? Report answer accurate to 2 decimal places. Question Help: Message instructor Submit Question
5
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

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