Module 14 Research methods Flashcards

1
Q

Statistics

A

Branch of math that seals with analysis of numerical data

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2
Q

Descriptive statistics

A

describe, summarize, or make sense of a particular set of data

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3
Q

Data set

A

collection of related sets of info

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4
Q

Graphs

A

pictorial representations of data in 2D space

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5
Q

Bar graph

A

vertical bars that represent data
Categorical variable
Bars do not touch

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6
Q

Histogram

A

graphic representation of frequency distribution
Quan variable
Bars touch

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7
Q

Line graph

A

Representation of linear data

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8
Q

Scatter plot

A

way to visualize relationship between two quantitative variables
Is there a relationship?
Is it linear or curvilinear?
Is linear relationship positive or negative?
Is linear relationship weak or strong?

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9
Q

Measure of central tendency

A

numerical value most typical of the values of a quan variable

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10
Q

Mode

A

most frequently occurring number of a set

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11
Q

Median

A

Middle point of a set of numbers

for even quantity, find average of middle two numbers

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12
Q

Mean

A

arithmetic average

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13
Q

Distribution of data

A

Normal distribution - bell curve
Negatively skewed - tail to the left (toward negative numbers)
Positively skewed - tail to the right (toward positive numbers)

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14
Q

Inferential statistics

A

Use laws of of probability to make inferences about populations based on samples

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15
Q

Estimation

A

rough calculation of the value, number, or quantity of something

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16
Q

Point estimation

A

Using a single number as the estimate of the population parameter

17
Q

Interval estimation

A

Includes a range of numbers thought to contain the population parameter

18
Q

Significance tests

A

Researchers report statistical significance to enhance credibility

19
Q

T-test

A

used for independent samples or correlation coefficients

20
Q

Analysis of variance (ANOVA)

A

Analyze group means of a sample

21
Q

Chi-square test

A

For contingency tables

Used to test relationships between categorical variables

22
Q

Hypothesis testing

A

How well the sample data support the particular hypothesis (null) and when the null can be rejected

23
Q

Null hypothesis

A

predicts no difference or relationship in the population

24
Q

Alternative hypothesis

A

the population parameter predicts a value other than the null