Homework Answers
(d) If sample size is more than 30 then the sampling distribution of the mean is approximately normal.
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If a sample size is greater than 30, which of the following characteristics of the distribution...
QUESTION 1 We can create a distribution of sample means by selecting all possible random samples...
QUESTION 1 We can create a distribution of sample means by selecting all possible random samples of the same size from the population. a. True b. False QUESTION 3 If you select a sample of size 100 from a population of raw scores and construct a distribution of sample means, what shape will the distribution of samples means have? a. left skewed b. right skewed c. approximately normal d. more information is needed about the shape of the population of...
Central Limit Theorem (CLT) 1. The CLT states: draw all possible samples of size _____________ from...
Central Limit Theorem (CLT) 1. The CLT states: draw all possible samples of size _____________ from a population. The result will be the sampling distribution of the means will approach the ___________________- as the sample size, n, increases. 2. The CLT tells us we can make probability statements about the mean using the normal distribution even though we know nothing about the ______________-
A simple random sample of size nequals64 is obtained from a population with muequals43 and sigmaequals8....
A simple random sample of size nequals64 is obtained from a population with muequals43 and sigmaequals8. Does the population need to be normally distributed for the sampling distribution of x overbar to be approximately normally distributed? Why? What is the sampling distribution of x overbar? Does the population need to be normally distributed for the sampling distribution of x overbar to be approximately normally distributed? Why? A. Yes because the Central Limit Theorem states that only for underlying populations that...
According to the central limit theorem, in order to assume a normal distribution for our sample...
According to the central limit theorem, in order to assume a normal distribution for our sample mean if σ is unknown, we must have a sample size greater than ____.
please answer asap, urgent QUESTION 7 According to the Central Limit Theorem, the distribution of which...
please answer asap, urgent
QUESTION 7 According to the Central Limit Theorem, the distribution of which statistic can be approximately normal for any population distribution? What condition should the sample satisfy? 6. The Central Limit Theorem approximates the sample mean . It is applicable when the sample size n is sufficiently large. b. The Central Limit Theorem approximates the sample size n. It is applicable when the sample size is not large. The Central Limit Theorem approximates the population mean...
A simple random sample of size n 43 is obtained from a population that is skewed...
A simple random sample of size n 43 is obtained from a population that is skewed left with = 54 and 06. Does the population need to be normally distributed for the sampling distribution of x to be approximately normally distributed? Why? What is the sampling distribution of Does the population need to be normally distributed for the sampling distribution of x to be approximately normally distributed? Why? O A. No. The central limit theorem states that only if the...
Choose all that are true about the central limit theorem a. sample size is important when...
Choose all that are true about the central limit theorem a. sample size is important when the population is not normally distributed b. the sampling distribution of the sample means will be skewed positively or negatively c. the sampling distribution of the sample means is approximately normally distributed d. the population mean and the mean of all sample means are equal PLEASE DO NOT ANSWER IF YOU DO NOT KNOW. I need to learn from these questions that I do...
A simple random sample of size n=74 is obtained from a population with 82 and 8-6...
A simple random sample of size n=74 is obtained from a population with 82 and 8-6 Does the population need to be normally distributed for the sampling distribution of to be approximately normally distributed? Why? What is the sampling distribution of i? Does the population need to be normally distributed for the sampling distribution of to be approximately normally dibuted? Why? O A. No because the Central Limit Theorem states that only if the shape of the underlying population is...
Let x represent the dollar amount spent on supermarket impulse buying in a 10-minute (unplanned) shopping interval. Based on a certain article, the mean of the x distribution is about $30 and the esti...
Let x represent the dollar amount spent on supermarket impulse buying in a 10-minute (unplanned) shopping interval. Based on a certain article, the mean of the x distribution is about $30 and the estimated standard deviation is about $5. (a) Consider a random sample of n = 40 customers, each of whom has 10 minutes of unplanned shopping time in a supermarket. From the central limit theorem, what can you say about the probability distribution of x, the average amount...
A researcher was asked to estimate mean GPA of all students at Pace University in 2016. He has selected at random 30 students and calculated their mean GPA. It was found to be equal to 3.2. The sampl...
A researcher was asked to estimate mean GPA of all students at Pace University in 2016. He has selected at random 30 students and calculated their mean GPA. It was found to be equal to 3.2. The sample size e) f) Number of classes the researcher can use to summarize his findings (hint: use 2>n) g) Can the researcher apply central limit theorem? (yes /no) Explain h) What is the shape of this sampling distribution? (normal / approximately normal) (hint:...
please answer asap, urgent
QUESTION 7 According to the Central Limit Theorem, the distribution of which statistic can be approximately normal for any population distribution? What condition should the sample satisfy? 6. The Central Limit Theorem approximates the sample mean . It is applicable when the sample size n is sufficiently large. b. The Central Limit Theorem approximates the sample size n. It is applicable when the sample size is not large. The Central Limit Theorem approximates the population mean...
A simple random sample of size n 43 is obtained from a population that is skewed left with = 54 and 06. Does the population need to be normally distributed for the sampling distribution of x to be approximately normally distributed? Why? What is the sampling distribution of Does the population need to be normally distributed for the sampling distribution of x to be approximately normally distributed? Why? O A. No. The central limit theorem states that only if the...
A simple random sample of size n=74 is obtained from a population with 82 and 8-6 Does the population need to be normally distributed for the sampling distribution of to be approximately normally distributed? Why? What is the sampling distribution of i? Does the population need to be normally distributed for the sampling distribution of to be approximately normally dibuted? Why? O A. No because the Central Limit Theorem states that only if the shape of the underlying population is...
A researcher was asked to estimate mean GPA of all students at Pace University in 2016. He has selected at random 30 students and calculated their mean GPA. It was found to be equal to 3.2. The sample size e) f) Number of classes the researcher can use to summarize his findings (hint: use 2>n) g) Can the researcher apply central limit theorem? (yes /no) Explain h) What is the shape of this sampling distribution? (normal / approximately normal) (hint:...
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