AP Stats Semester 1 Review

Front

What is reliability in the context of manufacturing?

Back

Reliability is defined as the proportion of non-defective items produced over the long term.

Front

How do you calculate the expected number of non-defective items in a sample?

Back

Multiply the total number of items in the sample by the reliability percentage (e.g., for 2000 bulbs with 93% reliability: 2000 * 0.93 = 1860).

Tags

CCSS.HSS.MD.A.2

Front

What is the probability of independent events occurring together?

Back

Multiply the probabilities of each independent event. For example, if the probability of Joe buying a book is 0.25 and Matthew's is also 0.25, the probability they both buy a book is 0.25 * 0.25 = 0.0625.

Tags

CCSS.HSS.CP.A.2

CCSS.HSS.CP.A.4

Front

What is a simple random sample?

Back

A simple random sample is a subset of individuals chosen from a larger set, where each individual has an equal chance of being selected.

Tags

CCSS.7.SP.A.1

CCSS.HSS.IC.A.1

Front

Which method produces a simple random sample?

Back

Number the students in the official school roster and use a table of random numbers to choose 80 students.

Tags

CCSS.HSS.IC.B.3

Front

What does a boxplot represent in statistics?

Back

A boxplot visually summarizes the distribution of a dataset, showing the median, quartiles, and potential outliers.

Tags

CCSS.6.SP.B.4

CCSS.HSS.ID.A.1

Front

What can you infer if one boxplot has a larger range than another?

Back

The dataset with the larger range has more variability in its values compared to the dataset with the smaller range.

Tags

CCSS.6.SP.B.4

CCSS.HSS.ID.A.1

Front

What is a z-score?

Back

A z-score indicates how many standard deviations an element is from the mean of the dataset.

Front

How do you interpret a z-score of 1.75?

Back

A z-score of 1.75 means the value is 1.75 standard deviations above the average of the dataset.

Front

What does it mean if a z-score is negative?

Back

A negative z-score indicates that the value is below the mean of the dataset.