Data/Sampling
Descriptive Statistics
Probability
Normal Distribution
100

The difference between discrete and continuous quantitative data

Discrete data are counted (whole numbers only), continuous data are measured (decimals / fractions)

100

The measure of center that locates the middle of the data (found by putting the data in order and finding the middle element)

Median
100

The numerical value for the probability of something that is certain or guaranteed

100% or 1.0

200

The sampling method where members of the populations are assigned numbers, and then random numbers are selected

Simple random sampling

200

The measure of center that is found by adding all the values and dividing by the number of values

Mean

200

The numerical value for the probability of something that is impossible

0% or 0

300

The difference between nominal and ordinal data (hint: both are categorical)

Nominal data can't be ordered, and ordinal data has an inherent order to it

300

The distance between the first quartile and the third quartile (the measure of spread that goes with the median)

Interquartile range

300

Two events must be ___ for this equation to be true:

P(A&B)=P(A)*P(B)

independent

300

Distance from the mean, measured in standard deviations

Z-score

400

The sampling method in which the population is divided into groups called strata, and then a proportionate number is taken from each stratum.

Stratified sampling

400

The measure of spread that measures the distances all the data values to the mean

Standard deviation

400

Determine if the following events are independent:

P(A) = 0.5

P(B) = 0.3

P(A & B) = 0.2

Not independent

P(A) * P(B) = 0.5 * 0.3 = 0.15

0.15 != 0.20

500

The difference between ratio and interval data (hint: both are quantitative)

The lowest value for ratio data must be 0, while interval data can have negative values

500

Populations have parameters, and we estimate these by calculating ____ for samples

Statistics

500

In Emily's past classes, 70% of students earned an 90, 15% earned an 80, 10% earned a 70, and 5% earned a 60. 

What is the expected value for students' grades in her class?

note: this is not real data

85%

0.7*90+0.15*80+0.1*70+0.5*60

63+12+7+3

85

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