Statistical Thinking Flashcards

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1
Q

How to plan your study?

A

Ask a testable research question and how you want to collect the data

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2
Q

Examining the data

A

What’s the best way to examine it, with graphs relevant, descriptive statistics, patterns?(what you should look for)

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3
Q

Inferring the data

A

What is the probability that some thing just happened by chance

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4
Q

Drawing a conclusion

A

What conclusion did you come to, cause an affect (if one variable is causing changes to another variable, versus other variables that may relate to the two variables)

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5
Q

Statistics provide a ______basis for conclusions drawn

A

Quantitative

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6
Q

Descriptive statistics include

A

Frequency distribution’s, rank order (low to high) score, create intervals, note frequencies

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7
Q

Measures of central tendency

A

I mean, median, mode

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8
Q

Mean

A

Average score, some of scores divided by total number of scores

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9
Q

Median

A

Middle score, splits in half

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10
Q

Mode

A

Occurs most often

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11
Q

Measures of variability, Range

A

Difference between highest and lowest scores of the distribution, subtraction

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12
Q

Standard deviation

A

Standard of dispersion of a set of values

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13
Q

Low standard deviation

A

Closer to the mean

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14
Q

High standard deviation

A

Spread out over wider range

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15
Q

Inferential statistics

A

Tells us which entrances can be made from her sample and what conclusion we can drive from it, example seen the evidence and if we should really care about it

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16
Q

P value

A

Observing the particular outcome of a sample, or more extreme, under a conjecture about larger population or process

17
Q

Statistical significance

A

P is less than 0.05 a.k.a. 5%

It is the cut off value for determining if something should be believed to be not a fluke

18
Q

When with stricter probability be used

A

When making a vaccine

19
Q

Sample

A

Collection of individuals from which we collect data

20
Q

Random sampling

A

Everyone can get chosen equally, computer chooses

21
Q

Parameter

A

Numerical result summarizing population example mean or proportion