Introduction to Statistics Flashcards

1
Q

Practice and study of collecting and analyzing data

A

Statistics

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2
Q

Two main branches of statistics:

A

Descriptive/summary
Inferential

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3
Q

Descriptive statistics is what?

A

Describing or summarizing our data

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4
Q

Inferential statistics is what?

A

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

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5
Q

Limitation of statistics

A

Statistics require specific measurable questions

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6
Q

Types of data:

A

Numeric/quantitative data
Categorical/qualitative data

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7
Q

What is continuous data?

A

Data measured on a continuous scale

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8
Q

What is interval/count data?

A

Data that are measured in whole numbers

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9
Q

Common way of visualizing the relationship between numeric data

A

Scatter plot

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10
Q

What is nominal data?

A

Data that describes unordered categories

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11
Q

What is ordinal data?

A

Categories of data are in order

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12
Q

Best way to visualize categorical data?

A

Group the values and perform aggregation

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13
Q

What is a histogram?

A

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

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14
Q

Where is the center of the data?

A

Mean
Median
Mode

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15
Q

Measures of center: mean is often called

A

Average

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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?

A

Median

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
Q

How to calculate for the variance?

A

Measure the distance (value - mean) from each data point to the mean value
then squared

26
Q

Standard Deviation

A

square root of the variance

27
Q

Standard deviation close to zero, the more closely clustered the data is around the mean.

A

true

28
Q

What are quartiles?

A

Splitting the data into four equal parts

29
Q

Second quartile is the middle value = to the median

A

true

30
Q

We can visualize quartiles using what?

A

A Box plot

31
Q

The left edge of the box in the box plot represents the what?

A

First quartile

32
Q

The middle line of the box in the box plot represents the what?

A

Median

33
Q

The right edge of the box in the box plot represents the what?

A

the third quartile

34
Q

Extreme values are shown

A

Beyond the horizontal lines

35
Q

Interquartile Range (IQR)

A

Distance between the first and third quartiles

36
Q

Benefits of IQR

A

Less affected by extreme values