Chapter 2 Flashcards

1
Q

Data

A

values of a variable

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2
Q

What are the 2 types of data?

A

qualitative and quantitative

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3
Q

What are the 2 types of quantitative data?

A

discrete

continuous

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4
Q

Time series data

A

ordered data values observed over time

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5
Q

Cross section data

A

data values observed at a fixed point in time

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6
Q

Classes

A

categories used for grouping data

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7
Q

Frequency

A

the number of observations that fall in a class

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8
Q

Frequency distribution

A

a listing of all classes and their frequencies

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9
Q

Relative frequency

A

the ratio of the frequency of a class to the total number of observations

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10
Q

Relative-frequency distribution

A

a listing of all classes and their relative frequencies

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11
Q

Lower cutpoint

A

the smallest value that could go in a class

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12
Q

Upper cutpoint

A

the smallest value that could go in the next higher class (equivalent to the lower cutpoint of the next higher class)

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13
Q

Midpoint

A

the middle of a class, found by averaging its cutpoints

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14
Q

Width

A

the difference between the cutpoints of a class

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15
Q

What is a frequency distribution?

A

a list or table containing the values of a variable (or set of ranges within which the data fall) and the corresponding frequencies with which each value occurs (or frequencies with which data fall within each range)

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16
Q

Why do we use frequency distributions?

A

it summarizes data by condensing the raw data in a more useful form and allows for a quick visual interpretation of the data

17
Q

Discrete data

A

possible values are countable

18
Q

Continuous data

A

may take on any value in some interval

19
Q

What kind of data uses bar and pie charts?

A

qualitative (category) data

20
Q

Why is it useful to use a stem and leaf diagram?

A

it is a simple way to see distribution details from qualitative data

21
Q

Line charts are used to show…

A

the values of one variable vs TIME

22
Q

Scatter diagrams shows points for…

A

bivariate data

- one value measured on the vertical axis and the other measured on the horizontal axis

23
Q

Mean

A

the arithmetic average of data values

- sum of the values divided by the number of values

24
Q

Median

A

in an ordered array, it is the “middle” number that splits the distribution in half

25
Q

Is the median affected by extreme values? Mode?

A

NO, NO

26
Q

Mode

A

a measure of location
the value that occurs most often
used for numerical or categorical data
there may be no mode or there may be serval modes

27
Q

Distribution of a data set

A

a table, graph, or formula that provides the values of the observations and how often they occur

28
Q

Which measure of location is the “best”?

A

Usually the mean unless there are extreme values (outliers) then the median is used

29
Q

What does (n) represent? What about (N)?

A

sample

population

30
Q

What do you do first if you see there is an outlier?

A

check for human error

31
Q

Variation

A

gives information on the spread or variability of the data values

32
Q

Range

A

simplest measure of variation

difference between the largest and smallest observations

33
Q

What are some disadvantages of the range?

A

it ignores the way in which data are distributed

it’s sensitive to outliers

34
Q

What are the benefits of the interquartile range? Equation?

A

it can eliminate the outlier problems

IQR = 3rd - 1st

35
Q

Degrees of freedom

A

the number of observations that are free to vary after sample mean has been calculated

36
Q

What is the most commonly used measure of variation?

A

Standard deviation

37
Q

What must the sum of deviations equal?

A

0!!!!

38
Q

Coefficient of variation

A

measures relative variation

always in percentage