AP Stats Cumulative Review #2
Flashcard
•
Mathematics
•
KG - University
•
Practice Problem
•
Hard
+2
Standards-aligned
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15 questions
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1.
FLASHCARD QUESTION
Front
What is the correlation coefficient (r) and what factors can affect its value?
Back
The correlation coefficient (r) measures the strength and direction of a linear relationship between two variables. None of the options provided in the context can affect the r-value.
Tags
CCSS.HSS.ID.C.8
2.
FLASHCARD QUESTION
Front
How do you determine the required sample size for a survey at a specific confidence level and margin of error?
Back
To determine the required sample size for a survey, you can use the formula: n = (Z^2 * p * (1-p)) / E^2, where Z is the Z-score corresponding to the confidence level, p is the estimated proportion, and E is the margin of error. For a 95% confidence level and a margin of error of 3%, a sample size of 1068 is needed.
Tags
CCSS.HSS.IC.B.4
3.
FLASHCARD QUESTION
Front
What is the effect of adding a constant value to all data points on the mean and standard deviation?
Back
Adding a constant value to all data points increases the mean by that constant but does not affect the standard deviation.
4.
FLASHCARD QUESTION
Front
What factors contribute to a narrower confidence interval?
Back
A narrower confidence interval can be achieved by having a large sample size and a lower confidence level.
Tags
CCSS.HSS.IC.B.4
5.
FLASHCARD QUESTION
Front
What is the definition of variability in statistics?
Back
Variability refers to how spread out or dispersed the values in a data set are. It can be measured using various statistics, such as range, variance, and standard deviation.
Tags
CCSS.6.SP.A.3
6.
FLASHCARD QUESTION
Front
What is the significance of percentiles in a data set?
Back
Percentiles indicate the relative standing of a value within a data set, showing the percentage of data points that fall below that value.
Tags
CCSS.6.SP.B.5C
7.
FLASHCARD QUESTION
Front
How does sample size affect the margin of error in a confidence interval?
Back
As the sample size increases, the margin of error decreases, leading to a more precise estimate of the population parameter.
Tags
CCSS.HSS.IC.B.4
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