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Descriptive Analysis and Presentation of Single-Variable Data | MTH 160, Study notes of Statistics

Material Type: Notes; Professor: Martineau; Class: Statistics I-WR; Subject: Mathematics (MTH); University: Monroe Community College; Term: Unknown 1996;

Typology: Study notes

Pre 2010

Uploaded on 08/09/2009

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Statistics I MTH160
Chapter 2
Descriptive Analysis
And
Presentation of Single-Variable Data
2.2 Graphs, Pareto Diagrams, (and Stem-and-Leaf Displays)
2.3 Frequency Distribution and Histograms
2.4 Measures of Central Tendency
2.5 Measures of Dispersion
2.6 Measures of Position
2.7 Interpreting and Understanding Standard Deviation
2.8 The Art of Statistical Deception (to read)
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Statistics I MTH

Chapter 2

Descriptive Analysis

And

Presentation of Single-Variable Data

2.2 Graphs, Pareto Diagrams, (and Stem-and-Leaf Displays)

2.3 Frequency Distribution and Histograms

2.4 Measures of Central Tendency

2.5 Measures of Dispersion

2.6 Measures of Position

2.7 Interpreting and Understanding Standard Deviation

2.8 The Art of Statistical Deception (to read)

Brigitte Martineau Chapter 2

2.2 Graphs, Pareto Diagrams, (and Stem-and-Leaf Displays)

Why graphing?

Graphs for qualitative data: Circle graph and Bar graph

1. Circle Graph (also known as _________ _____________ )

     n y

Category

y 14, 25.9%

n 40, 74.1%

Pie Chart of Smokers?

In Minitab: Graph > Pie Chart > select a variable….you can also select various options within the pie chart menu.

Brigitte Martineau Chapter 2

Pareto Diagram (a special type of bar graph)

Example: The final daily inspection defect report for a cabinet manufacturer is given in the table below: Defect Number Defect Number Dent 5 Chip 25 Stain 12 Scratch 40 Blemish 43 Others 10

Management has given the cabinet production line the goal for reducing their defects by 50%. What defects should they give special attention to in working toward this goal?

In Minitab: Stat > Quality tools > Pareto Chart > select a variable

140 120 100 80 60 40 20 0

100

80

60

40

20

0

Count (^) Percent

Defec Blemi Scrat Chi Stai Othe De Count (^) 43 40 25 12 10 5 Percent (^) 31.9 29.6 18.5 8.9 7.4 3. Cum% (^) 31.9 61.5 80.0 88.9 96.3 100.

Daily Defect Inspection Report

Brigitte Martineau Chapter 2

Graphs for quantitative data: dotplots (and stem-and-leaf)

Graphs for quantitative data are useful to display the distribution.

But what is a distribution?

1. Dotplot

Height

Gender 60 63 66 69 72 75 78

f m

Dotplot of Height vs Gender

In Minitab: Graph > Dotplot > select a variable

Height 60 63 66 69 72 75 78

Dotplot of Height

Brigitte Martineau Chapter 2

Example: A video store has computed the number of movies rented for every day of the last month: 74 142 179 127 198 105 98 87 189 154 189 207 76 95 108 163 205 96 149 174 123 147 108 101 185 125 87 119 138 162

Classes Frequency Midpoint

Total

What is a histogram?

Brigitte Martineau Chapter 2

Histograms can have different shapes:

Symmetrical Uniform (rectangular)

Skewed to right Skewed to left

J-Shaped Bimodal

Brigitte Martineau Chapter 2

 THE MEDIAN

What is it?

Symbol

How to find the median?

Examples: Find the median of 4, 8, 3, 8, 2, 9, 2, 11, 3

Find the median of 4, 8, 3, 8, 2, 9, 2, 11, 3, 15

 THE MODE

What is it?

Symbol

Bimodal or no mode

Example:

Brigitte Martineau Chapter 2

 THE MIDRANGE

What is it?

Symbol

Formula:

lowest value + highest value midrange = 2

Examples

Consider the following 2 sets of data. Calculate the Averages for each.

Data Set Mean Median Mode Midrange Best Measure

The results of 3 tests of MTH 160 are shown in the following table. Explain what is going on?

Mean Median Explanation

Test 1 74 73

Test 2 73 80

Test 3 65 60

Brigitte Martineau Chapter 2

Example Find the range, the variance and the standard deviation of the following set of numbers

Range =

Variance =

Standard Deviation =

Step 1: Find the mean X

Step 2: Fill in the table below:

SHORTCUT FORMULA

 

2 2 2 1

x x s n n

 

Data Set (^) xX  

2 xX

2 5 4 8 4 3 6 8

Sum =

X 

Sum = (^)  ( XX )^2 =

s =

n - 1

Brigitte Martineau Chapter 2

Find the range, the variance and the standard deviation of the following data: 8, 8, 12, 14, 6, 6

Range: Variance: Standard Deviation:

SHORTCUT FORMULA

 

2 2 2 1

x x s n n

 

The results of 2 tests of MTH 160 are shown in the following table. Explain.

Mean Standard Deviation Explanation

Test 1 74 4

Test 2 73 22

Data Set (^) xX  

2 xX

Sum =

X 

Sum = (^)  ( XX )^2 =

2

1

s n

  1

s n

 

Brigitte Martineau Chapter 2

How to find percentiles and quartiles

  1. Rank the data in ascending order
  2. Compute 100

nk A

  1. If A is an integer: The position of the percentile is at A + 0.5 = A. The percentile is halfway between the value of the data in the Ath^ position and the value of the next data.

If A is a fraction or a decimal The position of the percentile is at the next larger integer after A. The percentile is the value of the data at that position mentioned above.

Examples

The following data represents the pH levels of a random sample of swimming pools in a

California town

5.6 5.6 5.8 5.9 6.0 6.0 6.1 6.2 6.3 6. 6.7 6.8 6.8 6.8 6.9 7.0 7.3 7.4 7.4 7.

Find the 34 th^ and the 60th^ percentile as well as the 1st^ and 3rd^ quartile.

Brigitte Martineau Chapter 2

THE MIDQUARTILE

The midquartile is another measure of ________________________________

Formula:

The mean, median, mode, midrange and midquartile are all measures of central tendency.

Are they all equal in value?

Can you find an example where they would be?

5-NUMBER SUMMARY

The 5-number summary indicates how much the data are spread in each _______________

The Box-and-Whisker display, also called boxplot, displays the 5-number summary.

 Vertical or horizontal  The box is used to depict….

 The whiskers are line segments used to depict…..

 The line through the box represents ______________________  One line segment represents…

 The other line segment represents…

 The outlier….

Shoe Size

Boxplot of Shoe Size

Brigitte Martineau Chapter 2

EXAMPLES

A certain data set has mean 76 and standard deviation 10. Find the z-scores for 90 and 60.

Bill and Joe both got 79% on their statistics test. Bill is in section 1 where the mean was 75 and the standard deviation was 10. Joe is in section 5 where the mean was 77 and standard deviation was 21. Who has the best relative score?

Brigitte Martineau Chapter 2

2.7 - Interpreting and Understanding Standard Deviation

Standard deviation is a measure of ______________________

There are 2 rules to describe data that rely on the standard deviation:

EMPIRICAL RULE

If a variable is normally distributed:

  1. Approximately _____ % of the data lie within ___ standard deviation of the mean
  2. Approximately _____ % of the data lie within __ standard deviations of the mean
  3. Approximately _____ % of the data lie within __ standard deviations of the mean

Note:

x  3 s x  2 s xs x xs x  2 s x  3 s

68%

95%

99.7%