Chapter 2 Flashcards

0
Q

A bar graph for quantitative data in which the horizontal scale represents the classes and the vertical scale represents the frequencies. The heights of the bars correspond to the frequency values, and the bars touch - NO GAPS(unless there are gaps in the data)

A

Histogram

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1
Q

Another bar chart for categorical data where the bars are arranged in ascending or descending order according to frequencies

A

Pareto Chart

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2
Q

These have the same shape as a histogram with frequency, but the frequencies change to relative frequency percents

A

Relative Frequency Histogram

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3
Q

Uses line segments connected to points located directly above class midpoint values

A

Frequency Polygon

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4
Q

A line graph that depicts cumulative frequencies, just as the cumulative frequency table lists cumulative frequencies

A

Ogive

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5
Q

The scale from 0-100 could be compressed then continue normally form 100-400

A

Compressed Scale

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6
Q

Represents data by separating each value into two parts: the stem and the leaves

A

Stem-and-leaf Plot

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7
Q

Consist of a graph in which each data value is plotted as a point along a scale of values. Dots represent the same values that are stacked, so they also preserve original data values.

A

Dot Plots

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8
Q

A plot of the paired (x,y) data to measure the correlation or association between two quantitative variables

A

Scatter Plots

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9
Q

Has one apparent peak

A

A unimodal distribution/histogram

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10
Q

Histogram has two apparent peaks

A

Bimodal

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11
Q

A histogram that doesn’t appear to have any mode and in which all the bars are approximately the same height is called

A

Uniform

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12
Q

If you can fold the histogram along a vertical line through the middle and have the edges match pretty closely, the histogram is

A

Symmetric Distributions

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13
Q

The (usually) thinner ends of a distribution are called tails. If one tail stretches out farther than the other, the histogram is said to be

A

Skewed Distributions

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14
Q

Contains slices of the pie that are proper proportions if the total categorical data

A

Pie Chart

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15
Q

To summarize it describe the important characteristics of a set of data (the result of data)

A

Descriptive Statistic

16
Q

We use these methods when we use sample data to make inferences or generalizations about population

A

Inferential Staristics

17
Q

When describing,exploring, and comparing quantitive data sets, the following characteristics of data are usually most important

A
  • shape
  • center
  • spread
18
Q

Look at picture

A

Picture