Introduction to Statistics Flashcards

1
Q

Practice and study of collecting and analyzing data

A

Statistics

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

Two main branches of statistics:

A

Descriptive/summary
Inferential

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

Descriptive statistics is what?

A

Describing or summarizing our data

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

Inferential statistics is what?

A

Collect a sample of data, and apply the results to the population that the sample represents

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

Limitation of statistics

A

Statistics require specific measurable questions

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

Types of data:

A

Numeric/quantitative data
Categorical/qualitative data

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

What is continuous data?

A

Data measured on a continuous scale

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

What is interval/count data?

A

Data that are measured in whole numbers

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

Common way of visualizing the relationship between numeric data

A

Scatter plot

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

What is nominal data?

A

Data that describes unordered categories

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

What is ordinal data?

A

Categories of data are in order

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

Best way to visualize categorical data?

A

Group the values and perform aggregation

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

What is a histogram?

A

Takes data points and separates them into bins or ranges of values.

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

Where is the center of the data?

A

Mean
Median
Mode

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

Measures of center: mean is often called

A

Average

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

How to calculate the mean?

A

adding up all the values and divide by the number of values

17
Q

Measures of center: median is what?

A

Middle value for a given variable

18
Q

Measures of center: mode is what?

A

Most frequent value

19
Q

When data is not symmetrical what measure of center should we use?

20
Q

What is spread?

A

describes how far apart data points are.

21
Q

Why is spread important?

A

Tells us how much variety may occur in our data

22
Q

Different measures of spread?

A

Range
Variance
Quartiles

23
Q

What is range?

A

Difference between the max and min values

24
Q

What is variance?

A

Calculates the average distance from each data point to the mean

25
How to calculate for the variance?
Measure the distance (value - mean) from each data point to the mean value then squared
26
Standard Deviation
square root of the variance
27
Standard deviation close to zero, the more closely clustered the data is around the mean.
true
28
What are quartiles?
Splitting the data into four equal parts
29
Second quartile is the middle value = to the median
true
30
We can visualize quartiles using what?
A Box plot
31
The left edge of the box in the box plot represents the what?
First quartile
32
The middle line of the box in the box plot represents the what?
Median
33
The right edge of the box in the box plot represents the what?
the third quartile
34
Extreme values are shown
Beyond the horizontal lines
35
Interquartile Range (IQR)
Distance between the first and third quartiles
36
Benefits of IQR
Less affected by extreme values