A specific measure used to describe the sample distribution is called
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Statistics
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The standard deviation of the sampling distribution of the mean. It describes how much dispersion there is in the sampling distribution of the mean is standard error of mean
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True
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Simple random sample designed in such a way as to ensure that (a) every member of the population has an equal chance of being chosen and (b) every combination of N members has an equal chance of being chosen.
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True
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The discrepancy between a sample estimate of a population parameter and the real population parameter is known as sampling error
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True
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A theoretical probability distribution of sample means that would be obtained by drawing from the population all possible samples of the same size is sampling distribution of mean
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True
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The sampling distribution is a theoretical probability distribution of all possible sample values for the statistics in which we are interested is called
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Sampling distribution
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A method of sampling that enables the researcher to specify for each case in the population the probability of its inclusion in the sample is called
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Probability sampling
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A quantitative measure that a particular event will occur is called
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Probability
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A measure (e.g., mean or standard deviation) used to describe the population distribution is called
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Parameter
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If all possible random samples of size N are drawn from a population with a mean μY and a standard deviation, σY then as N becomes larger, the sampling distribution of sample means becomes approximately normal, with mean μȲ and standard deviation, σȲ=σY/N is central limit theorem
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True
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A relatively small subset selected from a population is called a ______.
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Sample
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The standard error of the mean is calculated using which two quantities?
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Population standard deviation and sample size
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If all possible random samples of size N are drawn from a population with a mean of µY and a standard deviation of σY, then as N becomes larger, the sampling distribution of sample means becomes approximately normal with a mean of µY and a standard deviation of σY. This statement is known as the ______.
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Central limit theorem
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The standard deviation is always ______ the standard error.
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Higher than
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What happens to the standard error of the mean as the sample size decreases?
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It increases.
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The ______ is symbolized by σY.
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Population standard deviation
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If every Kth member in the total population is chosen for inclusion in the sample after the first member of the sample is randomly selected, then what type of sample have we assembled?
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Systematic random sample
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A disproportionate stratified sample is especially useful when ______.
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Comparing proportionally small subgroups with each other
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The discrepancy between a sample estimate of a population parameter and the true value of the population parameter is referred to as ______.
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Sampling error
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Dividing the population into subgroups and then drawing random samples within each group is referred to as ______ sampling.
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Stratified random
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Which of the following is a notation for the standard deviation of the sample?
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SY
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______ is a quantitative measure that a particular event will occur.
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Probability
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Probability samples ensure that each person in the population has a(an) ______ chance for inclusion in the sample.
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Equal
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Quantities associated with samples are referred to as ______.
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Statistics
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Quantities that are associated with populations are referred to as ______.
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Parameters
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