Descriptive & Inferential Statistics + Ch12 Flashcards

(31 cards)

1
Q

Mode

A

The most frequent value

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

Median

A

The middle value

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

Mean

A

The average value

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

Normal distribution

A

Most data points cluster to the center of the distribution

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

Central tendency

A

Describe the typical respondent or values in a dataset

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

Measures of central tendency

A

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

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

Measures of dispersion

A

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

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

Dispersion

A

How spread out the data is

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

Range

A

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

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

Standard deviation

A

Dispersion around the mean

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

Statistics

A

Are sample values

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

Parameters

A

Are estimated population values

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

Statistical inference

A

Is the estimation of population values by analyzing the sample

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

Two types of statistics inference

A

Parameter estimation technique (eg: confidence intervals)
Hypothesis testing

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

Parameter estimation

A

Coming up with an interval where the true population parameter lies

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
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
Alternative hypothesis (Ha/H1)
There is a relationship between variables
26
Statistical significance
P-value < 0.05 = Significant <0.05 = reject null
27
Descriptive analysis
Used to describe the variables in a dataset
28
Inference analysis
Used to generate conclusions about a population's characteristics based on sample data
29
Difference analysis
Used to compare the mean of the responses of one group to that of another group
30
Association analysis
Determines the strength and direction of relationships between two or more variables
31
Relationships analysis
Allows insights into multiple relationships among variables