Prob and Stats Unit 1 Review

Front

What is relative frequency?

Back

Relative frequency is the ratio of the number of times an event occurs to the total number of trials or observations. It is calculated as: Relative Frequency = (Number of favorable outcomes) / (Total number of outcomes).

Front

What is the level of measurement for the top 5 YouTube videos of the week?

Back

The level of measurement is ordinal, as the videos can be ranked based on their popularity.

Front

What are the steps to find the class width in a frequency distribution?

Back

1. Find the range (max - min). 2. Divide the range by the number of classes. 3. Round up to the nearest whole number.

Front

What does a z-score above 3 indicate?

Back

A z-score above 3 is considered very unusual, indicating that the data point is more than 3 standard deviations away from the mean.

Front

If the mean is 150 and the standard deviation is 10, what is x bar + 2 standard deviations to the right?

Back

x bar + 2 standard deviations = 150 + 2(10) = 170.

Front

Define nominal level of measurement.

Back

Nominal level of measurement classifies data into distinct categories without any order or ranking. Examples include gender, race, or color.

Front

Define ordinal level of measurement.

Back

Ordinal level of measurement classifies data into categories that can be ranked or ordered, but the differences between the ranks are not meaningful. Examples include rankings in a competition.

Front

What is the purpose of rounding when calculating class width?

Back

Rounding is used to ensure that the class width is a whole number, making it easier to create intervals for the frequency distribution.

Front

What is a standard deviation?

Back

Standard deviation is a measure of the amount of variation or dispersion in a set of values. A low standard deviation indicates 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.

Front

What is the range in a data set?

Back

The range is the difference between the maximum and minimum values in a data set. It is calculated as: Range = Maximum value - Minimum value.