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The appropriate degrees of freedom to use for a t -distribution is determined by subtracting 1 from the sample size (i.e., n - 1 ).

The appropriate degrees of freedom to use for a t-distribution is determined by subtracting 1 from the sample size (i.e., n - 1).

True False

b. The sample size is large enough to use formulas based on the Central Limit Theorem to calculate the SE for a mean if n > 5 and the data is right-skewed.

True False

c. Even with small sample sizes, we can use formulas based on the Central Limit Theorem to calculate the SE for a mean if the data is relatively normally distributed (i.e., bell-shaped and symmetric).

True False

d. We determine if samples are large enough to use formulas based on the Central Limit Theorem for inference for differences in proportions ifn1p1 10 and n1(1-p1)10 andn2p210 andn2(1-p2)10.

True False

e. The correct notation for a sample mean when doing inference for a single mean is ("mu").

True False

f. William Sealy Gosset was a chicken salesman from Dubuque.

True False

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