Module 2 Flashcards

1
Q

Response Bias

A

Question ‘is not’ persuasive (convincing). you can’t answer truthful; unintentional.

Example: Participant answers questions in a way they think the researcher wants.

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2
Q

Conscious Bias

A

Question ‘is’ persuasive (convincing).

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3
Q

Lack of Blinding

A

When participants or researchers know the treatment, leading to biased results.

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4
Q

Scatter Diagrams

A

Helps us find relationships or correlations between 2 variables (independent & dependent).

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5
Q

Correlation

A

Shows how two variables change together.

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6
Q

Probability

A

Measures how likely something is to happen.

Complement = 1 (Probability of the event)

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7
Q

Bayes Theorem

A

It helps adjust your predictions when new data arrives.
Keyword: Given that

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8
Q

Mean

A

Average; calculated by adding all the values and dividing by the total number of values.

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9
Q

Mode

A

Most often; KEYWORD: Typical

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10
Q

Median

A

Middle Value; If there is an even number of values, it’s the average of the two middle numbers.

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11
Q

Variance

A

is the average of the squared differences from the mean.

If the answer is Negative then you square it. Then do the average.

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12
Q

Standard Deviation

A

Is the spread of data set.

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13
Q

Z-Score

A

shows how far a number is from the average. Positive means above, negative means below.

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14
Q

Correlation is between

A

0 - 1

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15
Q

Strong Relationships =

A

1; has a number.

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16
Q

Weak Relationship =

A

0; is not given a number.

17
Q

Correlation is NOT

A

a causation.

18
Q

Keywords for Multiple Principle

A

AND, ALL, BOTH, EVERY, IN A ROW

19
Q

Multiple Principle Calculates

A

Intercept

20
Q

Multiple Principle Calculates

A

Intercept

21
Q

Keywords for Addition Principle:

A

OR, EITHER, OTHER

22
Q

Addition Principle calculates

A

Union

23
Q

Standard Deviation is the square root of..

A

Variance

24
Q

Known Probabilities
68.2% =

A

+/- 1

25
Q

Known Probabilities
95.4%

A

+/- 2

26
Q

Known Probabilities
99.7%

A

+/- 3

27
Q

To calculate the Z-Score:

A

(Me - Mean score. Then divide by Standard Deviation.