Statistics Flashcards

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1
Q

First stage of experimentation?

A

Form hypothesis.

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2
Q

Second stage of experimentation?

A

Test hypothesis.

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3
Q

Third stage of experimentation?

A

Analyze results.

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4
Q

Fourth stage of experimentation?

A

Draw conclusions.

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5
Q

When are statistics used during experimentation?

A

Analyzing results.

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6
Q

We organize and analyze data to…

A

draw conclusions from it.

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7
Q

null hypothesis

A

assumption that there will be no difference between groups

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8
Q

alternate hypothesis

A

assumption that there will be a difference between groups

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9
Q

If there is a significance difference between the groups, we…

A

reject the null hypothesis and accept and alternate hypothesis.

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10
Q

quantitative data

A

numerical measurements or quantities

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11
Q

qualitative data

A

categorical measurements

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12
Q

population

A

large group that would be difficult to experiment on

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13
Q

sample

A

small subset of a population that can be experimented on

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14
Q

descriptive statistics

A

describes our data by looking at certain trends/patterns throughout a sample

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15
Q

inferential statistics

A

makes generalization to a larger population with the data from a sample

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16
Q

Descriptive statistics are measures of…

A

central tendency and variablility.

17
Q

measures of central tendency

A

single statistic that best describes the center of a distribution of data

18
Q

Examples of measures of central tendency are…

A

mean, median, and mode.

19
Q

measures of variability

A

statistics that tell us how different the data are from each other

20
Q

Examples of measures of variability are…

A

range and standard deviation.

21
Q

mean

A

most representative number from a dataset

22
Q

standard deviation

A

amount of variance around the mean; how different the numbers are

23
Q

Normal distribution is represented by…

A

a bell curve.

24
Q

Descriptive statistics describe…

A

our data using measures like mean and standard deviation.

25
Q

Inferential statistics examine…

A

the means and variability of each group in order to tell us if they are different from each other.

26
Q

Sampling error arises because…

A

no sample can perfectly mimic the population.

27
Q

standard error of the mean (SEM)

A

indicates how well the standard deviation of a sample represents the standard deviation of the population

28
Q

law of large numbers

A

larger the sample size, the more probably that the sample mean will be close to the population mean

29
Q

central limit theorm

A

large samples will approximate the normal distribution

30
Q

standard error bars

A

illustrate the standard error of the mean (SEM) on a graph

31
Q

Standard error bars show…

A

the variation from the mean.

32
Q

If standard error bar does not overlap with bar, then…

A

they significantly different from each other.

33
Q

confidence interval

A

range of values so defined that there is a specified probability that the value of a parameter lies within it

34
Q

If an experiment has a 95% confidence interval, then…

A

if we replicated the same experiment with the same amount of participants 100 times, we would expect 95/100 times the group mean would fall within confidence interval.

35
Q

t-tests

A

used to determine if there is a statistically significant difference between two sets of data

36
Q

We calculate the t-statistic value by…

A

comparing the mean of two data sets and dependency on degree of freedom.

37
Q

T-statistic leads to…

A

p-vale which decides whether or not the difference is statistically significant.