Intro to Statistics: Final Exam Success
Guide.
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10
, Intro to Statistics: Final Exam Success
Guide.
1. Explain what we mean by a confidence lev- The percentage of intervals,
based on all
el (exp. 95%) possible samples of the same size taken
from the same population, that contain
the para- meter.
For example, if we construct 100 95%
con- fidence intervals using 100
samples of the same size,
approximately 95 of the intervals will
contain the true parameter and 5 will not.
2. A point estimate is the value of a statistic, parameter
that estimates the value of a
3. What are the two desirable narrow and high confidence level
characteristics of an ideal
confidence interval?
4. What is the best point estimate for the pop- p hat
ulation proportion?
5. Type I error reject Ho when Ho is true
6. Type II error do not reject Ho when Ho is false
7. statistically significant observed results are unlikely under
the as- sumption that the null
hypothesis is true
8. random variable assignment of numerical values to all
out- comes of a probability
experiment
9. sampling distribution a probability distribution for all possible
val- ues of a statistic
2/
10
Guide.
1/
10
, Intro to Statistics: Final Exam Success
Guide.
1. Explain what we mean by a confidence lev- The percentage of intervals,
based on all
el (exp. 95%) possible samples of the same size taken
from the same population, that contain
the para- meter.
For example, if we construct 100 95%
con- fidence intervals using 100
samples of the same size,
approximately 95 of the intervals will
contain the true parameter and 5 will not.
2. A point estimate is the value of a statistic, parameter
that estimates the value of a
3. What are the two desirable narrow and high confidence level
characteristics of an ideal
confidence interval?
4. What is the best point estimate for the pop- p hat
ulation proportion?
5. Type I error reject Ho when Ho is true
6. Type II error do not reject Ho when Ho is false
7. statistically significant observed results are unlikely under
the as- sumption that the null
hypothesis is true
8. random variable assignment of numerical values to all
out- comes of a probability
experiment
9. sampling distribution a probability distribution for all possible
val- ues of a statistic
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10
