Descriptive & Inferential Statistics + Ch12 Flashcards

1
Q

Mode

A

The most frequent value

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2
Q

Median

A

The middle value

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3
Q

Mean

A

The average value

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4
Q

Normal distribution

A

Most data points cluster to the center of the distribution

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5
Q

Central tendency

A

Describe the typical respondent or values in a dataset

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6
Q

Measures of central tendency

A

Mode (nominal, ordinal, interval, ratio)
Median (ordinal, interval, ratio)
Mean (interval, ratio)

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7
Q

Measures of dispersion

A

Range (interval, ratio)
Standard deviation (interval, ratio)

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8
Q

Dispersion

A

How spread out the data is

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9
Q

Range

A

The spread of data, identifies the highest and lowest values (range is the difference between)

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10
Q

Standard deviation

A

Dispersion around the mean

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11
Q

Statistics

A

Are sample values

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12
Q

Parameters

A

Are estimated population values

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13
Q

Statistical inference

A

Is the estimation of population values by analyzing the sample

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14
Q

Two types of statistics inference

A

Parameter estimation technique (eg: confidence intervals)
Hypothesis testing

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15
Q

Parameter estimation

A

Coming up with an interval where the true population parameter lies

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16
Q

Confidence level

A

How sure you are of the results you are reporting

eg: confidence level of 95% = 95/100 of your sample will be between the intervals determined by your margin of error

17
Q

3 components of data preparation (ECC)

A

Data entry
Data coding
Data cleaning

18
Q

Data entry

A

Convert data to electronic form (if needed)

19
Q

Data coding

A

Group and assign numeric codes to qualitative responses

20
Q

Data cleaning

A

Check for errors & inconsistencies

21
Q

Point estimate

A

The result % without the error margin

22
Q

Margin of error

A

+ or - % from the point estimate

23
Q

Confidence interval

A

The point estimate with the margin of error gives you the range of the confidence interval

eg: 10% PE with a MoE of +/-1% = CI of 9-11%

24
Q

Null hypothesis (H0)

A

Indicates no correlation between variables

25
Q

Alternative hypothesis (Ha/H1)

A

There is a relationship between variables

26
Q

Statistical significance

A

P-value < 0.05 = Significant

<0.05 = reject null

27
Q

Descriptive analysis

A

Used to describe the variables in a dataset

28
Q

Inference analysis

A

Used to generate conclusions about a population’s characteristics based on sample data

29
Q

Difference analysis

A

Used to compare the mean of the responses of one group to that of another group

30
Q

Association analysis

A

Determines the strength and direction of relationships between two or more variables

31
Q

Relationships analysis

A

Allows insights into multiple relationships among variables