Vocab
Interpretations
Sampling
Probability
Inferences
100

The difference between the highest and lowest values in a data set.


What is range

100

Conclusion for a Significance Test

What is since the p-value (less than/greater than) significance level, (we reject/fail to reject H0). We do/do not have convincing evidence for Ha (context)

100

An error in data collection or sampling that results in an unrepresentative sample or skewed results

What is bias?

100

A bag contains 5 red marbles and 3 blue marbles. The probability of randomly selecting a blue marble is this

What is 3/8

100

The value that measures how many standard deviations a statistic is from the mean is called this.


What is a z-score

200

The value that appears most frequently in a dataset.

What is mode

200

Slope

What is with each additional x-variable, the predicted y-variable increases/decreases by slope.

200

A distribution where mean is greater than median.

What is skewed right

200

The probability that an event will not happen

What is the complement

200

If a p-value is smaller than the significance level, we do this to the null hypothesis.


What is reject the null hypothesis

300

The sum of all frequencies up to a specific point or interval

What is cumulative frequency

300

Expected value

What is if many, many (context), the average number of (X-context) is about (expected value).

300

Sampling method utilized when dividing subjects into groups before randomly assigning treatments to reduce variability.

What is random block design
300

When finding the probability of either event A or event B happening, you use this rule:

P(A or B)=P(A)+P(B)−P(A and B)

What is the Addition Rule

300

A confidence interval gives a range of values that is likely to contain this.


What is the true population parameter

400

A measurement of the average squared distance that data points fall from the mean

What is variance

400

 r2

What is about r2% of the variation in y-variable can be explained by the LSRL with x-variable.

400

 The purpose of random sampling

What is generalizability

400

Probabilities stay constant and each event remains independent when this occurs

What is (with) replacement

400
Reason for checking the 10% condition

What is to ensure that observations in a sample are close to independent when sampling without replacement.

500

A statistical guideline that states for a normal distribution, most of the data falls within three standard deviations of the mean

What is the empirical Rule (68-95-99.7 rule)

500

Power

What is if Ha (context) is true at a specific value the probability of finding convincing evidence to reject H0 is power.

500

The difference between nonresponse bias and response bias

Nonresponse Bias: Missing data because the chosen sample refuses or is unable to participate.

Response Bias: Skewed data because participants answer inaccurately, dishonestly, or in a biased manner.

500

The difference between mutually exclusive and independent events

Mutually : Events cannot overlap/occur at once

Independent: Events can overlap, but they don't influence each other.

500

The difference between a matched pairs inference and two sample t inference

Matched pairs t-inference evaluates the mean of differences within the same subjects or natural pairs (like twins). Two-sample t-inference compares the means of two entirely independent groups.