SlideShare a Scribd company logo
1 of 13
Chapter 6
More Statistics
Section6A
• Mean -- Add the numbers and divide
• Median -- Put numbers in order and find the
one in the middle (if two “middles” add those
and divide by 2)
• Mode – The most commonly occurring
number (could be more than one mode, or
“no mode” if each number is different)
• Range – Difference between the highest
number and lowest number in the group
Example One
• 85 80 91 97 85 88 82
• Mean = (85+80+91+85+97+88+82) / 7 = 86.85
(Be careful using the calculator)
• Put scores in order: 80 82 85 85 88 91 97
Median = “middle one” = 85
• Mode = 85 (the most common)
– 80 82 85 85 88 91 97
• Range = 97 – 80 = 17 (how far apart they are)
Example Two
• 25 80 80 85 90 91 91 95
• Mean = (25+80+80+85+90+91+91+95) / 8 =
79.625 (Be careful using the calculator)
• Scores are in order – there is no “middle one”:
Median = (85+90)/2 = 87.5
• Mode = There are two modes (80 and 91)
– 25 80 80 85 90 91 91 95
• Range = 95 – 25 = 70 (Why so big?)
– Because “25” is an outlier value
Section 6A (continued)
• Outlier – Value(s) that may be “much higher”
or “much lower” than the other values in the
group (“lies out there” away from the others)
• Outliers typically will not affect the median
and the mode
• Outliers have a definite effect on the mean
and the range
• NOTE: The highest and lowest values are not
necessarily outliers. Don’t assume this!
Describing Variation: BoxPlots
• Sometimes called “box-and-whisker plot”
• It uses five numbers to summarize the data:
– The lowest value (the “left whisker”)
– The lower quartile value (part of “the box”)
– The median (part of “the box”)
– The upper quartile value (part of “the box”)
– The highest value (the “right whisker”)
BoxPlot (“Box-and-Whisker”) Example
• The amount of marbles that 15 different
people own (one person has 18 marbles,
another person has 27 marbles, etc.):
• 18 27 34 52 54 59 61 68 78 82 85 87 91 93 100
• Step 1: BE SURE THAT NUMBERS ARE IN ORDER!!
• Step 2 : Find the median
BoxPlot (“Box-and-Whisker”) Example
• 18 27 34 52 54 59 61 68 78 82 85 87 91 93 100
• Step 3: Look at the numbers to the left of the median (the
blue numbers ) & find the median of those numbers
• Step 4: Look at the numbers to the left of the median (the
green numbers ) & find the median of those numbers
• 18 27 34 52 54 59 61 68 78 82 85 87 91 93 100
• Step 5: Locate the lowest and highest values
• 18 27 34 52 54 59 61 68 78 82 85 87 91 93 100
BoxPlot (“Box-and-Whisker”) Example
• 18 27 34 52 54 59 61 68 78 82 85 87 91 93 100
• You now have the “five-number summary” to
draw the boxplot
18 52 68 87
100
The “whiskers” are the “lowest value” and “highest value”
The “box numbers” are the “lower quartile” “median” and “upper quartile”
Chapter 6D (Refer to book, pp. 435 ff)
• Statistical significance
• Margin of error and Confidence Interval
• Using the online calculator
Margin of Error Formula
1
√ n
“n” represents the
number of people in the
sample
“Margin of Error” Example
In the online calculator, key in:
1 / 900 = 0.0333
3.3% for the margin of error (We’ll
round to 3%)
√ n
1
Suppose 900 people had been polled and
we found that 68% of the students
preferred online teaching . The margin
of error in the survey is found by
replacing “n” with “900” and calculating.
√900
1
“Margin of Error” Example (continued)
• Take the 68% and do two more calculations:
Subtract the 3% from 68%
68% - 3% = 65%
Add the the 3% from 68%
68% + 3% = 71%
Based on math
theory we can be
“95% confident that,
in this survey, most
people will prefer
the online method of
teaching.

More Related Content

Similar to Chapter 6 slide show notes math 140 summer 2011

Boxand whiskerplotpowerpoint
Boxand whiskerplotpowerpointBoxand whiskerplotpowerpoint
Boxand whiskerplotpowerpoint
ValPatton
 
Displaying quantitative data
Displaying quantitative dataDisplaying quantitative data
Displaying quantitative data
Ulster BOCES
 
Statistics and inferences review - bootcamp
Statistics and inferences review  - bootcampStatistics and inferences review  - bootcamp
Statistics and inferences review - bootcamp
arinedge
 
statisticsintroductionofbusinessstats.ppt
statisticsintroductionofbusinessstats.pptstatisticsintroductionofbusinessstats.ppt
statisticsintroductionofbusinessstats.ppt
voore ajay
 
Basic Mean median mode Standard Deviation
Basic Mean median mode Standard DeviationBasic Mean median mode Standard Deviation
Basic Mean median mode Standard Deviation
Jovendin Leonardo
 
Box and whiskers power point
Box and whiskers power pointBox and whiskers power point
Box and whiskers power point
manswag123
 

Similar to Chapter 6 slide show notes math 140 summer 2011 (20)

Statistics - Basics
Statistics - BasicsStatistics - Basics
Statistics - Basics
 
Statistical thinking
Statistical thinkingStatistical thinking
Statistical thinking
 
Algebra unit 9.3
Algebra unit 9.3Algebra unit 9.3
Algebra unit 9.3
 
STRAND 5 DATA HANDLING AND PROBABILITY.pptx
STRAND 5  DATA HANDLING AND PROBABILITY.pptxSTRAND 5  DATA HANDLING AND PROBABILITY.pptx
STRAND 5 DATA HANDLING AND PROBABILITY.pptx
 
Basics of Stats (2).pptx
Basics of Stats (2).pptxBasics of Stats (2).pptx
Basics of Stats (2).pptx
 
Ch4 notes for students
Ch4 notes for studentsCh4 notes for students
Ch4 notes for students
 
Boxand whiskerplotpowerpoint
Boxand whiskerplotpowerpointBoxand whiskerplotpowerpoint
Boxand whiskerplotpowerpoint
 
Displaying quantitative data
Displaying quantitative dataDisplaying quantitative data
Displaying quantitative data
 
Statistics and inferences review - bootcamp
Statistics and inferences review  - bootcampStatistics and inferences review  - bootcamp
Statistics and inferences review - bootcamp
 
Statistics
StatisticsStatistics
Statistics
 
Quantity and unit
Quantity and unitQuantity and unit
Quantity and unit
 
statisticsintroductionofbusinessstats.ppt
statisticsintroductionofbusinessstats.pptstatisticsintroductionofbusinessstats.ppt
statisticsintroductionofbusinessstats.ppt
 
Basic Mean median mode Standard Deviation
Basic Mean median mode Standard DeviationBasic Mean median mode Standard Deviation
Basic Mean median mode Standard Deviation
 
Statistics (Measures of Dispersion)
Statistics (Measures of Dispersion)Statistics (Measures of Dispersion)
Statistics (Measures of Dispersion)
 
Counting and Sequences
Counting and SequencesCounting and Sequences
Counting and Sequences
 
L14. Anomaly Detection
L14. Anomaly DetectionL14. Anomaly Detection
L14. Anomaly Detection
 
Box and whiskers power point
Box and whiskers power pointBox and whiskers power point
Box and whiskers power point
 
Revisionf2
Revisionf2Revisionf2
Revisionf2
 
Introduction to Statistics2312.ppt
Introduction to Statistics2312.pptIntroduction to Statistics2312.ppt
Introduction to Statistics2312.ppt
 
Introduction to Statistics23122223.ppt
Introduction to Statistics23122223.pptIntroduction to Statistics23122223.ppt
Introduction to Statistics23122223.ppt
 

Chapter 6 slide show notes math 140 summer 2011

  • 2. Section6A • Mean -- Add the numbers and divide • Median -- Put numbers in order and find the one in the middle (if two “middles” add those and divide by 2) • Mode – The most commonly occurring number (could be more than one mode, or “no mode” if each number is different) • Range – Difference between the highest number and lowest number in the group
  • 3. Example One • 85 80 91 97 85 88 82 • Mean = (85+80+91+85+97+88+82) / 7 = 86.85 (Be careful using the calculator) • Put scores in order: 80 82 85 85 88 91 97 Median = “middle one” = 85 • Mode = 85 (the most common) – 80 82 85 85 88 91 97 • Range = 97 – 80 = 17 (how far apart they are)
  • 4. Example Two • 25 80 80 85 90 91 91 95 • Mean = (25+80+80+85+90+91+91+95) / 8 = 79.625 (Be careful using the calculator) • Scores are in order – there is no “middle one”: Median = (85+90)/2 = 87.5 • Mode = There are two modes (80 and 91) – 25 80 80 85 90 91 91 95 • Range = 95 – 25 = 70 (Why so big?) – Because “25” is an outlier value
  • 5. Section 6A (continued) • Outlier – Value(s) that may be “much higher” or “much lower” than the other values in the group (“lies out there” away from the others) • Outliers typically will not affect the median and the mode • Outliers have a definite effect on the mean and the range • NOTE: The highest and lowest values are not necessarily outliers. Don’t assume this!
  • 6. Describing Variation: BoxPlots • Sometimes called “box-and-whisker plot” • It uses five numbers to summarize the data: – The lowest value (the “left whisker”) – The lower quartile value (part of “the box”) – The median (part of “the box”) – The upper quartile value (part of “the box”) – The highest value (the “right whisker”)
  • 7. BoxPlot (“Box-and-Whisker”) Example • The amount of marbles that 15 different people own (one person has 18 marbles, another person has 27 marbles, etc.): • 18 27 34 52 54 59 61 68 78 82 85 87 91 93 100 • Step 1: BE SURE THAT NUMBERS ARE IN ORDER!! • Step 2 : Find the median
  • 8. BoxPlot (“Box-and-Whisker”) Example • 18 27 34 52 54 59 61 68 78 82 85 87 91 93 100 • Step 3: Look at the numbers to the left of the median (the blue numbers ) & find the median of those numbers • Step 4: Look at the numbers to the left of the median (the green numbers ) & find the median of those numbers • 18 27 34 52 54 59 61 68 78 82 85 87 91 93 100 • Step 5: Locate the lowest and highest values • 18 27 34 52 54 59 61 68 78 82 85 87 91 93 100
  • 9. BoxPlot (“Box-and-Whisker”) Example • 18 27 34 52 54 59 61 68 78 82 85 87 91 93 100 • You now have the “five-number summary” to draw the boxplot 18 52 68 87 100 The “whiskers” are the “lowest value” and “highest value” The “box numbers” are the “lower quartile” “median” and “upper quartile”
  • 10. Chapter 6D (Refer to book, pp. 435 ff) • Statistical significance • Margin of error and Confidence Interval • Using the online calculator
  • 11. Margin of Error Formula 1 √ n “n” represents the number of people in the sample
  • 12. “Margin of Error” Example In the online calculator, key in: 1 / 900 = 0.0333 3.3% for the margin of error (We’ll round to 3%) √ n 1 Suppose 900 people had been polled and we found that 68% of the students preferred online teaching . The margin of error in the survey is found by replacing “n” with “900” and calculating. √900 1
  • 13. “Margin of Error” Example (continued) • Take the 68% and do two more calculations: Subtract the 3% from 68% 68% - 3% = 65% Add the the 3% from 68% 68% + 3% = 71% Based on math theory we can be “95% confident that, in this survey, most people will prefer the online method of teaching.