Jeopardy questions for exam 3
Confidence Intervals
1.
The change in the width of a confidence interval when the sample size is increased
2.
The change in the width of a confidence interval when the level of confidence is increased
3.
With 90% confidence, the maximum amount that the statistic differs from the parameter for the middle 90%
of all possible statistics.
4.
Its purpose is to give a range of plausible values for the population parameter.
5.
The name for how often the confidence interval estimation procedure produces 98% confidence intervals that
contain the value of the parameter being estimated.
6.
When the level of confidence is determined in a statistical problem solving procedure.
7.
The effect of increasing desired margin of error on the required sample size.
8.
The probability that a computed confidence interval contains the value of the parameter it estimates.
9.
What we use to find out the margin of error for estimating
μ
with a confidence interval.
10.
Fill in the blank: If
x
is within margin of error of
μ
, then
μ
will be within _______ of
x
.
Miscellaneous
1.
A list of the possible values of
x
if H
0
:
μ
=
μ
0
is true.
2.
The biggest value that
P
value could be.
3.
A test of significance on a small random sample that has a lot of chance variation.
4.
A test of significance on a very large random sample that has very little chance variation.
5.
The probability that null hypothesis is true.
6.
Appropriate statistical conclusion when using the 95% confidence interval for
μ
1
–
μ
2
, namely, using the
interval (–2.23, 1,17) to test H
0
:
μ
1
–
μ
2
= 0.
7.
μ
1
–
μ
2
.
8.
Procedure for analyzing data where the explanatory variable is categorical with three or more categories and
the response variable is quantitative.
9.
Procedure for analyzing data where the explanatory variable is categorical with only two categories and the
response variable is quantitative.
10.
Random allocation of individuals to treatments or random selection of individuals from independent
populations.
Cautions
1.
More than one statistical analysis performed on a data set.
2.
Results of a significant test of hypotheses where the difference is not large enough to be important or of
worth.
3.
Results of a test where the data were not appropriately collected through probability sampling or
randomization.
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 Spring '10
 BRUCEJAYCOLLINGS
 Statistics, Normal Distribution, Standard Deviation, Statistical hypothesis testing

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