True or False: This interval is called a one-sample z interval for a population mean .
AP Stats 10.1 & 10.2 Rdg Quiz

Quiz
•
Mathematics
•
10th Grade - University
•
Medium
Reanna Choate
Used 6+ times
FREE Resource
11 questions
Show all answers
1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
True
False
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
True or False: The critical value in this interval is denoted t∗ because it comes from a t distribution, not the standard Normal distribution.
True
False
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which table is used to find the critical value t*?
Table A
Table B
Table C
Table D
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
If the correct df isn’t listed, use the greatest df available that is __________ than the correct df.
greater
less
5.
MULTIPLE SELECT QUESTION
45 sec • 1 pt
Select all that apply: CONDITIONS FOR CONSTRUCTING A CONFIDENCE INTERVAL ABOUT A MEAN
Normal/Large Sample: The population has a Normal distribution or the sample size is large (n≥30). If the population distribution has unknown shape and n<30, use a graph of the sample data to assess the Normality of the population. Do not use t procedures if the graph shows strong skewness or outliers.
10%: When sampling without replacement, n<0.10N.
Normal/Large Sample: np<10 and n(1-p)<10.
Random: The data come from a random sample from the population of interest.
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
True or False: It is is enough just to make a graph of the data on your calculator when assessing Normality. You don't have to sketch the graph on your paper to receive credit. You don’t have to draw multiple graphs—any appropriate graph will do.
True
False
7.
MULTIPLE SELECT QUESTION
45 sec • 1 pt
Select all the apply: CONDITIONS FOR CONSTRUCTING A CONFIDENCE INTERVAL ABOUT A DIFFERENCE IN MEANS
Random: The data come from two independent random samples or from two groups in a randomized experiment.
10%: When sampling without replacement, n1<0.10N1and n2<0.10N2. 10%: When sampling without replacement, n1<0.10N1and n2<0.10N2.
Normal/Large Sample: For each sample, the corresponding population distribution (or the true distribution of response to the treatment) is Normal or the sample size is large n≥30 . For each sample, if the population (treatment) distribution has unknown shape and n<30 , a graph of the sample data shows no strong skewness or outliers.
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