CCP Stats Terms

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Review for Exam 2

Last updated 1:24 PM on 9/24/26
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39 Terms

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Mean Sentence

On average, the ‘‘context’’ is (blank)

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Median Sentence

About 50% of the ‘‘context’’ is at or below (blank)

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Interquartile Range Sentence

The middle half of ‘‘context’’ has a range of #

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Standard Deviation Sentence

The typical distance of ‘‘context’’ from the mean is #

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Undercoverage Bias

People aren’t included Ex. People at work, don’t have social media, etc

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Non-Response Bias

People can’t answer/choose not to Ex. Some surveys people choose not to participate in

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Response Bias

Responses aren’t truthful/accurate Ex. exercise, income, etc

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Categorical data

Observations are placed in groups/categories

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What makes a misleading graph?

  1. Y-axis doesn’t start at 0

  2. Bar graphs that use pictures instead of bars


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Quantitative Data

Data dealing with numbers (makes sense to find the average)

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Dot plot

Each dot represents one person/value

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Shape (Distribution)

Skewed left, skewed right. Symmetrical

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Center (Distribution)

The typical/ middle value

(use mean or median sentence)

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Variability (Distribution)

How spread out the dots are

Low=not spread out

High=very spread out

Use IQR or SD sentence

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Outlier

Values far from others/that don’t fit

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What is included in a Histogram?

Bars touch

Include the left number!! Not the right

Can’t see every value

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What is non-resistant to outliers and skew?

The mean and standard deviation

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Factors of left skewed

Median

IQR

Mean < Median

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Factors of symmetric

Mean

Mean = Median

Standard Deviation

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Factors of right skewed

Median

IQR

Mean > Median

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Marginal Probability

Only a single thing (B/C) Ex. What percent of the class considers themselves early birds?

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Joint Probability

Two things together (A/C) Ex. What percent of the class sleeps best in complete silence AND considers themselves night owls?

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Conditional Probability

A/B Ex. Of those who consider themselves early birds, what percent sleep best with background noise?

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How to know if there is a correlation between variables?

Conditional percents the same- no/weak correlation

Conditional percents different- there is a correlation

If percents are within 5% of eachother, there is no correlation

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Explanatory Variable

A variable that explains, influences, or predicts change in another variable

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Response Variable

The outcome or result that changes in reaction to another variable

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How to describe the relationship between two quantitative variables

D- Direction (+/-)

U- Unusual factors (outliers, clusters)

F- Form (linear/not)

S- Strenght (strong, weak, moderate)

Ex. There is a weak negative linear relationship between height and # of steps with no outliers or cluster of points

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Correlation (r)

Closer to 1 or negative 1 = a strong correlation

Close to 0 = weak correlation

At 0 = no correlation

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How to interpret the correlation

“the linear relationship between X and Y is strength + direction’’

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Residual Formula

Actual-Predicted value

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Prediction Equation

^y= b + ax (explanatory variable)

b = y-intercept

ax = the slope

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How to choose a good model/residual plot?

Good: No pattern

Bad: Clear pattern

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What is the linear and exponential prediction formula?

Linear: ^y = a + bx

Exponential: ^y = a x b^x

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Equation of multiple regression models

Predicted (y) = Constant + (coef) variable + (coef) variable

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What is a percentile and how do you find it?

The percent of values less than or equal to the context

Take the number in the scenerio over the total value

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What is the formula for Z-score?

Value-mean/Standard Deviation

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What is the Z-score sentence

‘‘The context is Z standard deviations above/below the mean.’’

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What is the mean of Z-scores?

The mean of Z scores is always 0

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What is the SD of Z-scores

The SD of Z scores is always 1