Module 6 Flashcards

1
Q

What are the four steps to the investigative process?

A
  1. Identify a question or problem
  2. Collect relevant data on the topic
  3. Analyze the data
  4. Form a conclusion
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2
Q

What are the three relationships that exist between variables?

A
  1. Association
  2. Causation
  3. No relationship
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3
Q

What are observational studies?

A

When someone observes what happens to see if there is a relationship

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4
Q

What is an experimental study?

A

When there is a control group and a placebo group; they give evidence of a causation relationship between variables

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5
Q

What is a lurking variable?

A

A variable that is associated with both variables, but not included in the study.

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6
Q

What is Simpson’s Paradox?

A

A counterintuitive situation that occurs when a trend or result that appears in groups of data disappears when we combine the groups.

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7
Q

What is always the cause of Simpson’s Paradox?

A

A lurking variable

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8
Q

What is regression analysis?

A

When multiple variables’ quantities relate to each other–an extension of scatterplots, associations and correlations used for prediction. It is used to describe a trend or predict future values based on known values.

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9
Q

What is the regression equation?

A

The alebraic equation that models the regression. It does not need to be linear.

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10
Q

On a scatterplot, where do we place the explanatory variable?

A

On the x axis

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11
Q

On a scatterplot, where do we place the response variable?

A

On the y axis

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12
Q

In the equation y = mx + b; what is the slope of the line?

A

m

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13
Q

What is least squares estimation?

A

An estimation technique for linear regression: the criteria by which the best-fit line is selected for paired data. A method that minimizes the squared distances of data points from a line that captures the trend in paired data.

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14
Q

What is interpolation?

A

Predicting data between known data points

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15
Q

What is extrapolation?

A

Predicting data outside of the range of known data points

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16
Q

What improves a study’s reliability as it increases?

A

Sample size

17
Q

What qualities are needed to help ensure the accuracy of any analysis, including a regression analysis?

A

A large, representative sample

18
Q

In what form is a simple linear regression equation written?

A

slope-intercept form

19
Q

What does “statistically significant” mean?

A

That it is unlikely to be caused by random variation or errors

20
Q

What is a “significant difference”

A

A difference that is statistically significant

21
Q

What is a p-value?

A

A number that is the result of a test

22
Q

A result is significant if the p-value is…

A

Less than the significance level

23
Q

The b in y = mx+b is what?

A

The point at which the least squares line crosses the y axis AND the value of y when x = 0