To which of the following parameters is the standard error of a sampling distribution directly related? Median of data Range of data Size of the sample drawn from the population Mode(s) of data
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Step 1: Recognize that the standard error measures the variability of a sampling distribution, such as the distribution of sample means. Show more…
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David N.
A distribution of sample means is a collection of means from samples of different sizes from different populations samples of size n from the same population samples of different sizes from the same population samples of size n from different populations To reduce the variability of estimates from a simple random sample, you should use a count, not a percent. increase the bias. use a larger sample. use a smaller sample. The law of large numbers says that the sample mean is a good approximation of the population mean if the population is large. the sample mean becomes a better approximation of the population mean as the sample size grows. the behaviour of large populations is well approximated by the average of a sample. the sampling distribution of the sample mean approaches a normal distribution as the sample size approaches infinity. Random samples of 10 observations are taken from a population. If the population has a mean of 9 and variance of 1, then the sampling distribution for the mean will have mean 0.9 and variance 1 mean 9 and variance 0.1 mean 9 and variance 1 mean 0.9 and variance 0.1 Which of the following statements is correct about a parameter and a statistic associated with repeated random samples of the same size from the same population? Values of a parameter will vary from sample to sample but values of a statistic will not. Values of a parameter will vary according to the sampling distribution for that parameter. Values of both a parameter and a statistic may vary from sample to sample. Values of a statistic will vary according to the sampling distribution for that statistic.
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According to the central limit theorem, the value of the standard error of the mean depends upon the size of the A. population mean and the size of the samples in the sampling distribution. B. height of the distribution of sample means. C. population standard deviation and the size of the samples in the sampling distribution. D. population mean and the size of the population from which the samples are drawn.
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