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If the distribution of the population is bimodal, then the sampling distribution for the sample means for this population with sample size 50 will be unimodal.
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If the distribution of the population is bimodal, then the sampling distribution for the sample means...
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...
Can a normal approximation be used for a sampling distribution of sample means from a population with μ=78 and σ=14, when n=81? why or why not?
6. Sampling Distributions Select which of the following is true and write why the remaining are false. d. The shape of the sampling distribution of all possible sample means is always bell-shaped. The shape of the sampling distribution of all possible sample means gets closer to the shape of the population distribution as the sample size gets large. e. f. The shape of the sampling distribution of all possible sample means gets approximately normal as the sample size gets large....
A sampling distribution for i would be obtained by finding ... O a. the means of lots of samples of the same size from the same population O b. the means of lots of samples of the same size from different populations O c. the means of lots of samples of varying sizes from the same population d. the mean of a single sample
A sampling distribution is constructed based on a sample size of 25. If the sampling distribution has a mean of 500 and a standard error of 15, what is the standard deviation of the original comparison population? A. 60 B. 75 C. 30 D. 50
1. Select all true statements about sample mean and sample median. A) When the population distribution is skewed, sample mean is biased but sample median is an unbiased estimator of population mean. B) When the population distribution is symmetric, both mean and sample median are unbiased estimators of population mean. C) Sampling distribution of sample mean has a smaller standard error than sample median when population distribution is normal. D) Both mean and median are unbiased estimators of population mean...
Choose the incorrect statement(s). (Check all that apply) A distribution of sample means may not be normally distributed. D A sampling distribution always has a bigger standard deviation than that of it's corresponding population sample means are approximately normally distributed when n 30. The standard deviation of a sampling distribution of means is the standard deviation of the or ginal population divided by n (the sample size).
The standard deviation of the sampling distribution of the sample mean is the same as the population standard deviation according to the Central limit Theorem. (Ch8) True False
Which of the following statements about the sampling distribution of the sample mean, x-bar, is not true? The distribution is normal regardless of the shape of the population distribution, as long as the sample size,n, is large enough. The distribution is normal regardless of the sample size, as long as the population distribution is normal. The distribution's mean is the same as the population mean. The distribution's standard deviation is smaller than the population standard deviation. All of the above...
7 SAMPLING DISTRIBUTIONS (31) Sampling distributions describe the behaviour of population parameters in repeated sam pling (1) True. (2) False (32) Which of the following statements concerning sampling is false? (1) The Central Limit Theorem is very important for statistical inference. (2) The standard error of an estimator is the standard deviation of a statistic. (3) Regardless of the sample size n, if the population distribution is normal then the sampling distribution of will be exactly normal. (4) If the...