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These flashcards cover key concepts from Unit 10 of the statistics lecture notes, focusing on confidence intervals, sampling procedures, and evaluation of statistical tests.
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What are the three types of procedures for confidence intervals
One sample t interval for M, two sample t interval for M1-M2, one sample t interval for M difference.
What is the 10% condition for sample size?
n < 0.10N or n = 0.10N.
What are the four steps in the 4c method for constructing an interval?
Choose, Check, Calculate, Conclude.
When concluding a confidence interval, how should the statement be framed?
We are BLANK % confident that the interval from BLANK to BLANK captures the true PARAMETER.
What is the general formula for a one sample confidence interval?
Mean +/- Critical value (standard error).
What is the standard error formula for a one sample?
s/ square root of n
What is the critical value for means in confidence intervals?
t*.
What do we use for finding the critical value t*?
Table B.
What is the formula for degrees of freedom (df) in a one sample t-test?
n - 1.
How do you evaluate a confidence interval with (+,+)?
Convincing evidence that the 1st mean is GREATER.
How do you evaluate a confidence interval with (-,-)?
Convincing evidence that the 1st mean is less.
What distinguishes a two sample t interval from matched pairs?
In matched pairs, each group gets both treatments/has one measurement; in two samples, each group gets a different treatment/has separate measurements.
Why is it appropriate to use a two sample t interval for M1-M2?
The data was collected from 2 independent samples rather than one paired sample.