Why We Need Statistics Flashcards

1
Q

What are statistics?

A

It refers to the quantitative measurement of samples and allow an objective evaluation of data

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2
Q

Mathematical language in terms of uncertain events

A

Probabilities

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3
Q

How do you weigh evidences?

A

By proving something, casting doubts, and constructing a logical argument

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4
Q

What are the three sides of a story?

A

Yours, theirs, and the truth

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5
Q

A statement about the population and all its samples based on what we see in the samples we have

A

Statistical inference

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6
Q

The amount of fluctuation observed in scores on a dependent variables

A

Variability

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7
Q

What is the implication of high variability?

A

The more variability, the greater the difference between groups before we can say that the data came from different populations

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8
Q

What is the rule on testing the null hypothesis?

A

Assume an independent variable has no effect.

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9
Q

Way of saying that the experimental condition had no significant effect

A

Null hypothesis

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10
Q

Type of hypothesis that predicts the way the difference between groups will go

A

Directional hypothesis

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11
Q

The criterion for deciding whether to reject the null hypothesis or not

A

Significance level

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12
Q

What is the p value if the result is significant?

A

Less than 0.05

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13
Q

Type of error when the experimenter has incorrectly rejected the null hypothesis

A

Type 1 error

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14
Q

Type of error when the independent variable had an effect but the experimenter failed to detect it

A

Type 2 error

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15
Q

Portion in the tail/s of the distribution of a test statistic extreme enough to satisfy the researchers’ criterion for rejecting the null hypothesis

A

Critical region

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16
Q

What is the effect of a larger variable?

A

The more likely it is the IV produced a change in subject’s responses

17
Q

What is the effect of obtaining a large value of test statistics?

A

More likely to be able to reject the null hypothesis

18
Q

Data recorded as we run an experiment

A

Raw data

19
Q

Reporting the results of the experiment

A

Summary data

20
Q

The summary statistics reported for an experiment, including mean, range, and standard deviation

A

Descriptive statistics

21
Q

Score that occurs most often

A

Mode

22
Q

The score that divides the distribution in hald

A

Median

23
Q

Arithmetical average, measure of central tendency

A

Mean

24
Q

The average squared deviation of scores from their mean, more precise measure of variability than the range

A

Variance

25
Q

The difference between the largest and smallest scores in a set of data

A

Range