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22 Cards in this Set
- Front
- Back
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What is the random variable of the sampling distribution of x-bar?
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the sample mean
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Fill in the blank: Central Limit Theorem allows us to compute probabilities on ___ using the standard Normal table provided the sample size of the random sample is sufficiently large.
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x-bar
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The sample distribution of a statistics has all of the following except: shape, center, spread, correlation...
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correlation
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The standard deviation of the sampling distribution of x-bar measures the...
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the variability of the sample mean about the parameter, mu.
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What is a distribution of a random variable?
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A list of the possible values of a variable together with how often each value occurs
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If a set of data is normally distributed, should you apply the Central Limit Theorem.
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No, because the distribution is Normally distributed already.
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The announcer on the radio tells listeners that the probability of snow tonight is 20%. We should interpret this to mean that:
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according to historical records wen meteorological conditions were the same as today, it snowed twenty percent of the time.
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To detect association between the row and column variables of a two-way table, what do we examine?
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Whether the conditional distribution in every row (or every column) equals the corresponding marginal distribution
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The least squares regression line is the line for which
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the sum of the squared residuals is minimized
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Extrapolation is dangerous because the
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relationship between X and Y ma be different outside teh range of observed X;s.
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What is not affected by outliers?
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Median
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A correlation of r=0 indicates that
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x and y are not linearly related
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T or F. Scatterplots can be used to assess the strength of association for the variables of a two-way table?
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F
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T or F. If all of the row conditional distributions equal the marginal distribution for the bottom row, then the row variable is associated with the column variable.
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F
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T or F. The shape of the histogram of sample data gets closer to the shape of the population as the sample size increases.
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T
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T or F. The shape of the theoretical sampling distribution of x-bar is always Normal.
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F
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T or F. The mean of the theoretical sampling distribution of x-bar gets closer to u as n increases.
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F
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T or F. Central Limit Theorem allows us to compute probabilities on sample data from a non-Normal population whenever the sample size is large and random
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F
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T or F. Probabilities on individuals can only be computed using the standard Normal table if the population is Normally distributed.
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T
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T or F. X-bar gets closer and closer to u as n increases.
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F
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T or F. A correlation of zero means no relationship exists between x and y.
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FF
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T or F. A correlation coefficient, r, close to +1.0 implies changes in x cause changes in y.
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F
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