The Dot Plot - PowerPoint PPT Presentation

1 / 37
About This Presentation
Title:

The Dot Plot

Description:

The Dot Plot What is it? How to Draw it Bet you ve never seen a graph like this one before. . . * WBNA Free Throws Dot Plot * Dot Plot: How to Describe It Unusual ... – PowerPoint PPT presentation

Number of Views:1157
Avg rating:3.0/5.0
Slides: 38
Provided by: PatriciaH156
Category:
Tags: dot | numerical | plot

less

Transcript and Presenter's Notes

Title: The Dot Plot


1
The Dot Plot
  • What is it? How to Draw it
  • Bet youve never seen a graph like this one
    before. . .

2
What is a Dot Plot?
  • A dot plot is a graph that shows the
    distribution of a quantitative variable above a
    number line with small periods, dots, circles or
    xs. It plots a quantitative variable against a
    quantitative variable.
  • Axes on a dot plot
  • A dot plot only has an x-axis.
  • The y-axis is never drawn
  • Advantage of a dot plot
  • Moderate amounts of quantitative data can be
    quickly visualized

3
What is a Dot Plot?
  • 2 Variables on a dot plot
  • x-axis variable is quantitative and identified
  • y-axis variable is implied since the y-axis is
    never drawn.
  • y-axis variable is the count and so is
    normally discrete quantitative

4
Making a Dot Plot
  • I want to know more about my students who take
    Intro Stats so Ive decided to take a survey and
    make a dot plot of the results
  • Id like to find out about the pets they have in
    their household.
  • The question then becomes
  • How many pets are in your household?

5
Making a Dot Plot from Live Data
6
Dot Plot Example
7
Freq Table Example 4 Classes Combined
Mean 2.52 pets Median 2 pets Mode 0 pets
(37x) Range 30 pets Spread 0 - 30 pets n
134 students
8
Dot Plot Example 4 Classes Combined
8
9
Dot Plot Statistical Vocabulary Background
  • Spread (also called Variability)
  • The spread of data in statistics is the smallest
    value in a data set and the largest value
  • It is always expressed as 2 numbers
  • Prefer to write smallest then largest number
  • Units are important
  • Range
  • The range of data in statistics is the
    difference between the smallest value and the
    largest value
  • Take the spread and subtract the two numbers
    large small
  • Units are important

10
Dot Plot Statistical Vocabulary Background
  • One Measure of Center
  • One measure of the center of a data distribution
    is the median, the place where the data tends to
    be ½ above and ½ below.
  • Units are important
  • Mode
  • The mode of data is a place or places with the
    largest number of data with the same value. Units
    are important.

11
Dot Plot How to Describe It
  • Shape
  • The shape of a data distribution possibilities
  • 1) Symmetry
  • Symmetric Also Fairly Symmetrical
  • Skewed Left (negatively skewed)
  • Skewed Right (positively skewed)
  • 2) Peaks
  • Single Peaked (unimodal)
  • Double Peaked (bimodal)
  • Multi Peaked (multimodal)
  • NOTE Data have modes, dot plots have peaks

12
Student Scores in Andersons Cr Writing
13
Student Scores in Andersons Cr Writing
14
of Population Over 65
15
Population over 65 Data Sorted by
16
Make Dot Plot of State Population Data
17
Dot Plot How to Describe It
  • More on Shape
  • Symmetric
  • When the left right sides of a distribution
    are mirror images of one another
  • Fairly Symmetric
  • When the left and right sides of a distribution
    are almost mirror images of one another, but
    there are small exceptions.
  • Skewed Left (negatively skewed)
  • If a distribution extends much farther out to
    the left. The direction of skewness is on the
    side of the longer tail, in this case LEFT.
  • Skewed Right (positively skewed)
  • If a distribution extends much farther out to
    the right. The direction of skewness is on the
    side of the longer tail, in this case RIGHT.

18
Dot Plot What it Looks Like
  • Shape Symmetry
  • Symmetric


19
Dot Plot What it Looks Like
  • More on Shape Non Symmetric
  • Skewed Left (negatively skewed)
  • Skewed Right (positively skewed)

tail
tail
20
Goals by US Womens Soccer
21
Goals by US Womens SoccerOrdered Ascending
22
Dot Plot of Goals by US Womens Soccer
23
Living in Poverty East of the Mississippi
24
Living in Poverty East of the MississippiOrdered
Ascending
25
Living in Poverty East of the Mississippi
26
Dot Plot Mean Median Essentials
  • Skew on a dot plot in relation to mean and median
  • Youve drawn the line that connects the dot plot
    points on the top of the distribution. The line
    clearly shows right or left skew.
  • If you have right skew, the mean will be to the
    right of (greater than) the median, as the mean
    follows the tail of the distribution.

median
mean
tail
27
Dot Plot Mean Median Essentials
  • Skew on a dot plot in relation to mean and median
  • If you have left skew, the mean will be to the
    left of (less than) the median, as the mean
    follows the tail of the distribution.

median
mean
tail
28
Dot Plot Describing Peaks
  • Peaks
  • Unimodal
  • Bimodal


Multimodal (3 or more peaks)
29
TI83 and Sort Ascending
  • How to Sort Data in Ascending Order
  • Enter all values in a list at STAT EDIT
  • Exit to Home Screen using 2nd MODE
  • Hit STAT key. Go to 2 SORT A(. Hit ENTER
  • Type 2nd 1 (if the data is in List 1). Hit Enter
  • Done appears
  • Check your data in List 1. It should be sorted.
  • Use your eyes to find the range spread from
    the sorted list.

30
Dot Plot TI Essentials
  • Finding Mean and Median
  • Enter your data as a list in STAT EDIT
  • Exit to home screen 2nd Mode
  • Go to 2nd STAT.
  • Right Arrow to MATH
  • 3 is Mean hit Enter type 2nd and list
    Enter
  • 4 is Median hit Enter type 2nd and list
  • Enter
  • Calculator does not give Mode. You need your
    eyes for that

31
Glucose Blood Levels

32
Glucose Blood Levels

33
WBNA EAST Free ThrowsData in Ascending Order
34
WBNA Free ThrowsDot Plot
35
Dot Plot How to Describe It
  • Unusual Features. Possibilities include--
  • Potential Outliers any data value that falls
    out of the
  • pattern of the rest of the distribution. A
    potential outlier will lie at either extreme of
    the data when it is written in order. (We will
    learn how to calculate actual outliers later.
    For now, we will call these points potential
    outliers)
  • Clusters isolated groups of values. Clusters
    begin when frequency gt1 and end before frequency
    returns to 1 or zero.
  • Gaps large spaces between values. Write gap
    values from beginning empty space to end empty
    space. A gap of one number is NOT a gap.

36
Fuel ConsumptionData
37
Fuel ConsumptionDot Plot
Write a Comment
User Comments (0)
About PowerShow.com