1)SM tries to estimate which of the following:
A) Population mean
B) Population standard deviation
C) distribution of sample mean's (DSM) standard error
D) Distribution of sample mean's (DSM) critical region
2)A t-value tries to estimate which of the following:
A) population mean
B) level of significance
C) df
D) z-score
3)Which of the following df values would make it so that the t -distribution looks most like the real Distribution of Sample Means (DSM)?
A) df = 8
B) df = 20
C) df = 30
D) df=60
1.) Sm tries to estimate the
Ans. C. Distribution of the sample mean's (DSM) standard error.
2.) A t-value tries to estimate
Ans. D. Z-score. [ As T-distribution is also symmetrical for large n ]
3.) T-distribution looks most like the real Distribution of Sample Means (DSM) for
Ans. C and D. Df = 30 and Df = 60
(Reason: The most real distribution of sample means for a sample of sizes 30 or more is the normal symmetrical distribution by the Central Limit Theorem (CLT). The t-value has a degree of freedom = sample size - 1. A degree of freedom of 30 indicates that the sample size is 31 which is appropriate for the CLT to hold).
If only one option can be selected go for df=60 because larger the size of sample, more accurate is the symmetry.
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