Chapter 16 Confidence Intervals for Proportions
Population parameters have two kinds of estimates:
A point estimate is a single number that is our best guess.
An interval estimate is an interval of numbers within which the parameter is likely to fall.
The
Chapter 20 Inferences About Means
Recall the general formula for a confidence interval:
point estimate margin of error
When dealing with means, the point estimate for is y . The margin of error is given by t (se)
s
where se = (estimated by se =
), and t i
Chapter#15 Sampling Distribution Models
15.1 to 15.4 Sampling Distributions and the Central Limit Theorem
A sampling distribution is a probability distribution of a statistic such as y or p^ .
Given a population, every time we take a sample with a fixed n
Chapter 17 Hypothesis Tests For Proportions
A hypothesis is a statement about a population, usually in the form that a parameter takes a particular
value or falls within a certain range of values.
Eg: = 17.2 , > 17.2
,
p = 0.5
, 0.2
A hypothesis test is a
Chapter 20 Inferences About Means
Recall the general formula for a confidence interval:
point estimate margin of error
When dealing with means, the point estimate for is y . The margin of error is given by t (se)
s
where se = (estimated by se =
), and t i
Chapter 19 - Comparing Two Proportions
When we compare population proportions of two different groups we look at the difference p 1 p2
between the two proportion. We take a sample from each group, and this difference is estimated by the
difference in the
Chapter 19 - Comparing Two Proportions
When we compare population proportions of two different groups we look at the difference p 1 p2
between the two proportion. We take a sample from each group, and this difference is estimated by the
difference in the