With true random sampling, every observation in the population has an equal chance of being selected.
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Q47: Statistic is to sample as parameter is
Q48: Bias is the difference between the sample
Q49: The major error in inferential statistics is
Q50: The fact that the distribution of random
Q51: When sampling error is constant and in
Q53: The Central Limit theorem states the exact
Q54: A population may never share more than
Q55: The standard error of the mean must
Q56: The probability estimates provided by inferential statistics
Q57: True population may never be infinite.
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