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.

Q: Which of the following is appropriately used for statistical sampling applications?…

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Q: ☐ True ☐ False is determined by convention and does not depend on sample size. ☐ True ☐ False When…

A: A parameter that has of formula including dependent on the value of n that is the sample size is…

Q: Consider the population : {1, 2, 3, 4, 5}, and suppose this population has the uniform distribution.…

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Q: size

A: As per the weak law of large numbers, every distribution tends to normal distribution as we increase…

Q: One assumption of the binomial distribution is that our sample size has to be greater than​ 10% of…

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Q: Suppose that a researcher selects a sample of participants from a population. If the shape of the…

A: For the given statement Select the correct choice ?

Q: For what sampling distribution works for?

A: Concept of sampling distribution: Let a particular characteristic of a population is of interest…

Q: a sampling distribution can be regarded as approximately normal when which conditions are met? In…

A: A sampling distribution is a probability distribution of a statistic obtained from a larger number…

Q: a) What are some of the distinguishing properties of a normal Distribution? Discuss b) The sampling…

A: • The answers to the above questions are as follows :-

Q: You are testing a claim and incorrectly use the normal sampling distribution instead of the​…

A: We are testing a claim  we used normal sampling distribution instead of the​ t-sampling…

Q: assuming that the sample sizes of 800 men and 400 women are predetermined, test the claim that the…

A: H0:The response of the subject and the gender of the subject are independent.H1:The response of the…

Q: A candy company claims that 11% of the jelly beans in its spring mix are pink. Suppose that the…

A: Given that  n=25 , p=11%=0.11 , q=1-p=1-0.11=0.89

Q: Which of the following is a non-random sampling technique? cluster sampling. convenience sampling.…

A: Convenience sampling: Convenience sampling is a process of selecting individuals from a population…

Q: K A realty company reported that foreclosures had settled down to 1 in 781 homes per month for a…

A: The sample size is given asThe sample proportion is Want to know if conditions for normal are met or…

Q: Jed raises chickens.  He says that the average chicken weight is 5.5 lbs.  Test his claim.  A simple…

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Q: Using Chebyshev’s Theorem, determine the minimum percentage of observations from a distribution that…

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Q: Sample means from multiple samples will have a sampling distribution  True  False

A: We know that,  Sample means differ from sample to sample and thus create a distribution which is…

Q: When simple random samples are drawn from a population that is normally distributed, the sampling…

A: According to the definition of Central limit theorem, the sampling distribution of the sample means…

Q: True or False: If the population distribution given is normally distributed, then the sampling…

A: The Central Limit theorem suggests that if the original population is normally distributed, then the…

Q: For any sample of size 100, the population mean, the mean of the sampling distribution for the…

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Q: The mean of all the sample means obtained from all random samples of a certain sample size in a…

A: Here, we have sample mean is an biased estimate of the given random sample.

Q: which of the following data sampling method is most likely to represent the population from which it…

A: Solution The correct answer is Random sample. Because in the random sampling the probability of…

Q: ☐True ☐False In an independent samples t-test, we make inferences on the sampling distribution of…

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Q: Sample means from multiple samples will have a sampling distribution O True O False

A: We know that The distribution of sample statistic is called sampling distribution.

Q: Which is NOT a correct statement about the sampling distribution?   a. theoretically, the…

A: The objective of the question is to identify the incorrect statement about the sampling distribution…

Q: Is the statement below true or false? The distribution of the sample mean, x, will be normally…

A: Here  For sampling Distribution  As per Central limit theorem the Distribution of sample mean will…

Q: Explain briefly the meaning of sampling error. Give one example of a sampling error and one example…

A: 1) Sampling Error is a statistical error arising out of the certain sample selected  being…

Q: For a sample of n=16 scores, how many scores are used to calculate the sample variance?

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Q: For the given data, (a) find the test statistic, (b) find the standardized test statistic, (c)…

A: We have to find test statistics.

Q: For any sample of size 90, the population mean, the mean of the sampling distribution for the…

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Q: One property of the distribution of sample means is that if the original population is normally…

A: Given : One property of the distribution of sample means is that if the original population is…

Q: Assume that the climate conditions on Earth are such that years hotter than the historical average…

A: Assuming that the climate conditions on Earth are such that years hotter than the historical average…

Q: Decide whether the normal sampling distribution can be used. If it can be used, test the claim about…

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Q: According to the Central Limit Theorem, the distribution of sample means will be approximately…

A: Solution-: According to the CLT, the distribution of sample means will be approximately normal when…

Q: Given the population proportion hypothesis H0: p = 28.6 and H1: p < 28.6​identify the the type of…

A: According to the provided distribution, H0: p = 28.6 and H1: p &lt; 28.6

Q: True or false: The sample mean is always normally distributed, even when the population is skewed…

A: Central limit theorem: When the sample size is sufficiently large and obtained from the symmetrical…

Q: On a final exam a student was asked to define sampling error. He wrote:  "sampling error is roughly…

A: We know that  Sampling error : It is the difference between sampling statistic and the corresponding…

Q: As the size of a simple random sample is increased, the standard error of the sample mean will…

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Q: Sampling Distribution: TRUE OR FALSE (NO NEED EXPLANATION) 1. Using sample from population can save…

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Q: What is the sampling distribution of x?

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Q: 1, 3, 4, 5, 9, 10 The following data represent the number of days absent per year in a population of…

A: Number of days absent per year in a population of six employees of a small company is given below:1,…

Q: The sample variance is affected by extreme observations. * O True O False

A: We need to check if sample variance is affected by extreme values.