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16 Cards in this Set
- Front
- Back
The central limit theorem is important in the study of statistics because it allows us to,
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Calculate probabilities using the distribution of the sample mean for any shaped population, so long as n>30
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T/F:
If a mode does exist in a data set, then the mode of the discrete random variable is one of the outcomes |
True
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T/F:
The mean of a discrete random variable must be an outcome |
False - The mean is just the weighted average of all values
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T/F: Discrete random variables can take on an infinite number of values
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False. They can only take on a finite number of values
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T/F: The standard deviation of a discrete random variable must be an outcome
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False. Only depects the spread of the outcomes
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The Central limit theorem states that for a discrete random variable, as the sample size is increased, the average of the observed values should steadily approach what value?
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The true mean. The center stays the same, but the spread (stdev) decreases
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The central limit theorem describes the ______ distribution of _______ in all samples of the same size from the same population.
a) sampling; parameters b) population; parameters c) sampling; statistics d) population; statistics e) sample; parameters |
C) Sampling; statistics.
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What affects the mean of the sampling distribution of the sample mean?
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The population mean
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Is the number of books in a student's dorm a continuous random variable?
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No - it is a discrete (countable) random variable
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______ uses sample evidence to validate or invalidate a claim regarding a population
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Hypothesis testing
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A set of data values observed at successive points in time is known as,
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Time series
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One of more data values observed at a fixed time is known as,
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cross sectional
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When computing the stdev of the sample mean, the finite population correction factor is used when,
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The sampel is selected without replacement and the sample size is greater than 5% of the population
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The central limit theorem is a statistical/mathematical theorem used to describe,
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the distribution of the sample mean
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Suppose we wish to estimate a population value but we have no claim as to what we believe that population value to be. Under these circumstances, we would use what statistical methodology?
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Estimation
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what affects the standard deviation of the sampling distribution of the sample mean?
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n (sample size) and stdev of population
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