Statistics: Lessons 1-5

Flashcard
•
Mathematics
•
11th Grade
•
Hard
+4
Standards-aligned
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1.
FLASHCARD QUESTION
Front
What is the mean in statistics?
Back
The mean is the average of a set of numbers, calculated by adding all the values together and dividing by the number of values.
Tags
CCSS.6.SP.B.5C
2.
FLASHCARD QUESTION
Front
What is standard deviation?
Back
Standard deviation is a measure of the amount of variation or dispersion in a set of values. A low standard deviation means that the values tend to be close to the mean, while a high standard deviation indicates that the values are spread out over a wider range.
3.
FLASHCARD QUESTION
Front
What does it mean if data is normally distributed?
Back
If data is normally distributed, it means that the data follows a bell-shaped curve, where most of the observations cluster around the central peak and probabilities for values further away from the mean taper off equally in both directions.
4.
FLASHCARD QUESTION
Front
What is the empirical rule in statistics?
Back
The empirical rule states that for a normal distribution, approximately 68% of the data falls within one standard deviation of the mean, about 95% falls within two standard deviations, and about 99.7% falls within three standard deviations.
Tags
CCSS.HSS.ID.A.4
5.
FLASHCARD QUESTION
Front
What is the interquartile range (IQR)?
Back
The interquartile range (IQR) is a measure of statistical dispersion, calculated as the difference between the first quartile (Q1) and the third quartile (Q3). It represents the range within which the central 50% of the data lies.
Tags
CCSS.6.SP.B.5C
6.
FLASHCARD QUESTION
Front
What does skewed right mean in a data distribution?
Back
A right-skewed distribution has a longer tail on the right side, indicating that there are a few high values that are pulling the mean to the right of the median.
7.
FLASHCARD QUESTION
Front
How do you calculate the z-score?
Back
The z-score is calculated by subtracting the mean from the value and then dividing by the standard deviation: z = (X - μ) / σ.
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