Module 4 Flashcards

1
Q

What is quantitative data?

A

Numerical data; data values that are numerical representing quantities that can be counted or measured.

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2
Q

What Categorical Data?

A

Qualitative data; data that are in groups, such as names or labels, and not necessarily numerical.

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3
Q

What are examples of quantitative data?

A

height, weight, blood pressure, blood cholesterol level

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4
Q

What are examples of qualitative data?

A

gender, ethnicity, marital status, eye color

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5
Q

What are two types of displays for categorical data?

A
  1. Pie chart

2. Bar chart

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6
Q

What are four graphical displays that can be used for quantitative data?

A
  1. Dot plot (for small data sets)
  2. Stem plot (stem and leaf plot)
  3. Box plot (center, spread and outliers)
  4. Histogram (shape and spread)
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7
Q

What is bimodal distribution?

A

A distribution that has two clear peaks rather than one

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8
Q

What is a multimodal distribution?

A

A histogram with two or more clear peaks

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9
Q

What is the mean?

A

aka the average. Add all the data and divide by the number of values

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10
Q

What is the median?

A

The middle number

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11
Q

What is the mode?

A

The most common number

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12
Q

what is the range?

A

The difference between the smallest and greatest values: maximum-minumum

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13
Q

What is the interquartile range?

A

the difference between the third quartile and the first quartile

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14
Q

What are outliers?

A

any points that are more than 1.5x IQR above Q3 or below Q1
i.e. if IQR is 5.5, Q 3 is 8, then 5.5x1.5=8.25 and any number greater than 16.25 are outliers.
As well if Q1 is 2.5; then 2.5-8.25 is -5.75. Any value less than -5.75 are outliers

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15
Q

What is a five-number summary?

A

A list of the minimum, first quartile, median, third quartile, and maximum in a data set.

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16
Q

What is the preferred measures of center and spread for normal distributions?

A

Mean; standard deviation

17
Q

What is the preferred measure of center and spread for skewed distributions?

A

Median; Range or IQR

18
Q

What is truncating?

A

When the vertical scale does not start at zero–it exaggerates the differences on a bar graph.

19
Q

95% of a mean data is how many standard deviations?

A

two

20
Q

In a normal distrubtion, what % is included with: 1 standard deviation
2 standard deviations
3 standard deviations?

A

68; 95; 99.7

21
Q

What graph would be the best option to display continuous data?

A

A histogram