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INTRODUCTION TO
STATISTICS FOR ALGEBRA I

S-ID.1
Represent data with histograms and box
plots
S-ID.2
Use statistics appropriate to the
shape of the distribution
S-ID .3
Interpret difference in shape, center and
spread in context of data sets
Variables
• Categorical variable – records which of
  several groups or categories an
  individual belongs (Qualitative
  Variable)

• Quantitative Variable – numerical
  values for which it makes sense to do
  arithmetic operations
Displaying Categorical data
• Distribution of categorical data in either
  counts or percent of individuals

• Bar graphs and Segmented Bar graphs

• Pie Charts
Activity: Heart rate
• A persons pulse provides information
  about their health
  o Count the number of pulse beats in one
    minute
  o Do this three times and calculate your
    average pulse rate
  o Record your rates on the board
       Females and males
Displaying Quantative data

• Distribution of quantative data and be
  able to analyze center, spread and
  shape
• Dot Plots
• Stem Plots
• Histograms
• Box plots
• Label axes and title graph
Dot Plots
                             • Scale the axis on the values
                               of data
num
                             • Mark a dot above the
                               number on the horizontal
                               axis corresponding to each
                               data value
                             • Activity: Construct a dot plot
                               of the number of family
 Number of hours of sleep      members from your
                               classmates

             What can you see about the family members in
             your class?
Stem plot
            • Separate each observation into a stem
              consisting of all but the rightmost digit
              and a leaf, the final digit
            • Write stems vertically in increasing order
              from top to bottom
               o Draw vertical line to the right of the
                  stem
            • Rearrange the leaves in increasing order
              from the stem
            • Title your graph and add a key describing
              what the stem and leaves are
            • Construct a stem plot of the data of the
              blood pressures of the class
Histograms
Stemplot displays the actual data

Histograms – breaks the
values into ranges of values
and displays the counts or
percent of observations
   Classes or bars must be
   the same width
     The calculator can help you
     graph a histogram
Box plots

Boxplots are based on the
five number summary and
useful for comparing two
or more distributions
A central box spans the
quartiles 1 and 3
A line in the box marks the
median
Lines extend from the box
out to the smallest and
largest observations
Five number summary
• Minimum
• Q1
• Median
• Q3
• Maximum
• Offers a reasonably complete description of center and
  spread using median
• Box plot is a graph of a five number summary
• Modified Boxplot graph of five number summary with
  outliers plotted individually

       Modified

                                       Regular Boxplot
Graphing a Histogram
- using the graphing calculator
• Type the data into List 1

• Go to the StatPlot Menu
  o set plot ON and choose histogram
• Set your
  o (Xscl is the size of the bars)
• Choose
• Use       to read the number of observations
  in each category
Graphing a Box plot -
using the graphing calculator
• Enter Data into List 1
• Go to the StatPlot Menu
   o set the plot ON and choose boxplot
• You can either go to      and choose
  an appropriate window for the data OR



• Use the Trace key to read the 5-number summary for the
  data.

            Note: You can graph up to 3 boxplots at teh
         same time - just use Plot2 & Plot 3. When in TRACE,
         use the up down arrows to switch between plots
Presentation of data (review)
• Bar chart – compares the sizes of the groups or
  categories
• Pie Chart – Compares what part of the whole the
  group is
• Dotplots – Compares the range of the data and its
  variables
• Histogram – graphing one quantitative variable in
  groups
• Stemplot – organizes and groups data but allows us
  to see as many of the digits in each data value as we
  wish
• Box plots – organizes data in quartiles to divide data
Two Seater Cars
Model                  City   Highway
Acura NSX              17     24
Audi TT Roadster       20     28
BMW Z4 Roadster        20     28
                                        Construct box
Cadillac XLR           17     25        plots
Chevrolet Corvette
Dodge Viper
                       18
                       12
                              25
                              20
                                        to analyze the
Ferrari 360 Modena     11     16        data.
Ferrari Maranello      10     16         Write a brief
Ford Thunderbird       17     23
Honda Insight          9      15
                                        description com
Lamborghini Gallardo   9      13        paring the two
Lotus Esprit           15     22
Maserati Spyder        12     17
                                        types of cars.
Mazda Miata            22     28
Mercedes-Benz SL500    16     23
Mercedes-Benz SL600    13     19
Nissan 350Z            20     26
Porsche Boxster        20     29
Porsche Carrera 911    15     23
Smart Pure Coupe       34
Two Seater cars

Calculate the mean and median of the city and highway miles
per gallon

Which value best describes the typical amount of miles per
gallon?
S-ID .3
  Interpret difference in shape, center and
  spread in context of data sets

1. Understand why distributions take on particular shapes

2. Understand the higher the value of a measure of variability
the more spread out the data set is

3. Explain the effect of any outliers on the shape, center and
spread of the data sets.
Types of distributions
1. Understand why distributions take on particular shapes




Give an example of a distribution that would be skewed to the
right?

Give an example of a distribution that would be skewed to the
left?
1. Understand why distributions take on particular shapes



Why does the shape of the distribution of incomes for
professional athlets tend to be skewed to the right?


Why does the shape of the distribution of test scores on a really
easy test tend to be skewed to the left?


Why does the shape of the distribution of heights of the
students at your school tend to be symmetrical?
2. Understand the higher the value of a measure of
variability the more spread out the data set is


On the last week's math test. Mrs. Wasco class had an average
of 83 points with a standard deviation of 8 points.
 Mrs. Ruggerio's class had an average of 78 points with a
standard devaition of 4 points. Which class was more
consistent with their test scores? How do you know?
3. Explain
         the effect of any outliers on the
shape, center and spread of the data sets.

The heights of Monroe High school basketball players
are 5ft 9in; 5 ft 4 in; 5 ft 6 in; 5 ft 5 in; 5 ft 3 in; 5 ft 7 in

A students transfers to Monroe High and joins the
basektball team. Her height is 6 ft 10 in.

How would you find the mean and median of the data sets?
Find the median and mean of the data sets with the new
student and without the new student.
What is the mean height before the new player
transfer in? ______ What is the median?_____

What is the mean height after the new player
transfers in? ______ What is the median?_______

What affect does new players height have on the
team's height distribution and why?

How many players are taller than the new mean
team height?

Which measure of center most accurately describes
the team's average height? explain

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Intro to Stats by Sue Wasco and friends

  • 1. INTRODUCTION TO STATISTICS FOR ALGEBRA I S-ID.1 Represent data with histograms and box plots S-ID.2 Use statistics appropriate to the shape of the distribution S-ID .3 Interpret difference in shape, center and spread in context of data sets
  • 2. Variables • Categorical variable – records which of several groups or categories an individual belongs (Qualitative Variable) • Quantitative Variable – numerical values for which it makes sense to do arithmetic operations
  • 3. Displaying Categorical data • Distribution of categorical data in either counts or percent of individuals • Bar graphs and Segmented Bar graphs • Pie Charts
  • 4. Activity: Heart rate • A persons pulse provides information about their health o Count the number of pulse beats in one minute o Do this three times and calculate your average pulse rate o Record your rates on the board  Females and males
  • 5. Displaying Quantative data • Distribution of quantative data and be able to analyze center, spread and shape • Dot Plots • Stem Plots • Histograms • Box plots
  • 6. • Label axes and title graph Dot Plots • Scale the axis on the values of data num • Mark a dot above the number on the horizontal axis corresponding to each data value • Activity: Construct a dot plot of the number of family Number of hours of sleep members from your classmates What can you see about the family members in your class?
  • 7. Stem plot • Separate each observation into a stem consisting of all but the rightmost digit and a leaf, the final digit • Write stems vertically in increasing order from top to bottom o Draw vertical line to the right of the stem • Rearrange the leaves in increasing order from the stem • Title your graph and add a key describing what the stem and leaves are • Construct a stem plot of the data of the blood pressures of the class
  • 8. Histograms Stemplot displays the actual data Histograms – breaks the values into ranges of values and displays the counts or percent of observations Classes or bars must be the same width The calculator can help you graph a histogram
  • 9. Box plots Boxplots are based on the five number summary and useful for comparing two or more distributions A central box spans the quartiles 1 and 3 A line in the box marks the median Lines extend from the box out to the smallest and largest observations
  • 10. Five number summary • Minimum • Q1 • Median • Q3 • Maximum • Offers a reasonably complete description of center and spread using median • Box plot is a graph of a five number summary • Modified Boxplot graph of five number summary with outliers plotted individually Modified Regular Boxplot
  • 11. Graphing a Histogram - using the graphing calculator • Type the data into List 1 • Go to the StatPlot Menu o set plot ON and choose histogram • Set your o (Xscl is the size of the bars) • Choose • Use to read the number of observations in each category
  • 12. Graphing a Box plot - using the graphing calculator • Enter Data into List 1 • Go to the StatPlot Menu o set the plot ON and choose boxplot • You can either go to and choose an appropriate window for the data OR • Use the Trace key to read the 5-number summary for the data. Note: You can graph up to 3 boxplots at teh same time - just use Plot2 & Plot 3. When in TRACE, use the up down arrows to switch between plots
  • 13. Presentation of data (review) • Bar chart – compares the sizes of the groups or categories • Pie Chart – Compares what part of the whole the group is • Dotplots – Compares the range of the data and its variables • Histogram – graphing one quantitative variable in groups • Stemplot – organizes and groups data but allows us to see as many of the digits in each data value as we wish • Box plots – organizes data in quartiles to divide data
  • 14. Two Seater Cars Model City Highway Acura NSX 17 24 Audi TT Roadster 20 28 BMW Z4 Roadster 20 28 Construct box Cadillac XLR 17 25 plots Chevrolet Corvette Dodge Viper 18 12 25 20 to analyze the Ferrari 360 Modena 11 16 data. Ferrari Maranello 10 16 Write a brief Ford Thunderbird 17 23 Honda Insight 9 15 description com Lamborghini Gallardo 9 13 paring the two Lotus Esprit 15 22 Maserati Spyder 12 17 types of cars. Mazda Miata 22 28 Mercedes-Benz SL500 16 23 Mercedes-Benz SL600 13 19 Nissan 350Z 20 26 Porsche Boxster 20 29 Porsche Carrera 911 15 23 Smart Pure Coupe 34
  • 15. Two Seater cars Calculate the mean and median of the city and highway miles per gallon Which value best describes the typical amount of miles per gallon?
  • 16. S-ID .3 Interpret difference in shape, center and spread in context of data sets 1. Understand why distributions take on particular shapes 2. Understand the higher the value of a measure of variability the more spread out the data set is 3. Explain the effect of any outliers on the shape, center and spread of the data sets.
  • 17. Types of distributions 1. Understand why distributions take on particular shapes Give an example of a distribution that would be skewed to the right? Give an example of a distribution that would be skewed to the left?
  • 18. 1. Understand why distributions take on particular shapes Why does the shape of the distribution of incomes for professional athlets tend to be skewed to the right? Why does the shape of the distribution of test scores on a really easy test tend to be skewed to the left? Why does the shape of the distribution of heights of the students at your school tend to be symmetrical?
  • 19. 2. Understand the higher the value of a measure of variability the more spread out the data set is On the last week's math test. Mrs. Wasco class had an average of 83 points with a standard deviation of 8 points. Mrs. Ruggerio's class had an average of 78 points with a standard devaition of 4 points. Which class was more consistent with their test scores? How do you know?
  • 20. 3. Explain the effect of any outliers on the shape, center and spread of the data sets. The heights of Monroe High school basketball players are 5ft 9in; 5 ft 4 in; 5 ft 6 in; 5 ft 5 in; 5 ft 3 in; 5 ft 7 in A students transfers to Monroe High and joins the basektball team. Her height is 6 ft 10 in. How would you find the mean and median of the data sets? Find the median and mean of the data sets with the new student and without the new student.
  • 21. What is the mean height before the new player transfer in? ______ What is the median?_____ What is the mean height after the new player transfers in? ______ What is the median?_______ What affect does new players height have on the team's height distribution and why? How many players are taller than the new mean team height? Which measure of center most accurately describes the team's average height? explain