A data point that does not fit an otherwise clear trend
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A data point that does not fit an otherwise clear trend

Part B (Terminology): Matching

Using your readings, match each term with the correct definition provided. The name of the term is given in the table and the definitions are listed below. Match the name of the term and the corresponding definition. As part of your answer, identify the sources of your information.

Match the correct term to each of the following descriptions. A term may be used more than once or not at all.

A residual                                            E contingency table

B outlier                                               F hidden variable

C least squares line                            G correlation coefficient

1. A data point that does not fit an otherwise clear trend.

2. A representation of data that is divided into two or more categories.

3. The difference between a data point’s actual dependent value and the dependent value predicted by the line of best fit.

4. A line of best fit.

5. A variable that affects or obscures the relationship between two other variables.

6. A term for an outlier in the automotive industry indicating a vehicle that needs many more repairs than expected.

Match the correct term to each of the following descriptions. A term may be used more than once or not at all.

A sampling bias               E outlier bias

B sample size bias          F language bias

C sensationalism bias   G data selection bias

D vertical scale bias

7. Data presented using a tactic such as over-exaggeration to provoke an emotional response.

8. Inaccuracy produced when the sample is not a random sample of the entire population, but instead contains a common characteristic.

9. Inaccuracy produced when the sample size is very small.

10. Inclusion of an outlier that distorts a trend.

11. Adjustment of the scale of a graph to produce a misleading impression.

12. Use of language intended to create a particular impression or opinion.

Hint
Selection bias also called selection effect designates bias initiated by the selection of entities, groups, or data for analysis in such a manner that correct randomization is not attained. This makes the sample selected not to represent the population planned...

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