1 Message to the user... The most effective way to use a PowerPoint slide show is to go to “SLIDE SHOW” on the top of the toolbar, and choose “VIEW SHOW”

Slides:



Advertisements
Similar presentations
HS 67 - Intro Health Statistics Describing Distributions with Numbers
Advertisements

C. D. Toliver AP Statistics
Chapter 2 Exploring Data with Graphs and Numerical Summaries
Section 4.3 ~ Measures of Variation
1 Message to the user... The most effective way to use a PowerPoint slide show is to go to “SLIDE SHOW” on the top of the toolbar, and choose “VIEW SHOW”
1 Message to the user... The most effective way to use a PowerPoint slide show is to go to “SLIDE SHOW” on the top of the toolbar, and choose “VIEW SHOW”
B a c kn e x t h o m e Parameters and Statistics statistic A statistic is a descriptive measure computed from a sample of data. parameter A parameter is.
Sullivan – Statistics: Informed Decisions Using Data – 2 nd Edition – Chapter 3 Introduction – Slide 1 of 3 Topic 16 Numerically Summarizing Data- Averages.
Business Statistics: A Decision-Making Approach, 7e © 2008 Prentice-Hall, Inc. Chap 3-1 Business Statistics: A Decision-Making Approach 7 th Edition Chapter.
Looking at data: distributions - Describing distributions with numbers
Statistics: Use Graphs to Show Data Box Plots.
5 Number Summary Box Plots. The five-number summary is the collection of The smallest value The first quartile (Q 1 or P 25 ) The median (M or Q 2 or.
Chapter 2 Describing distributions with numbers. Chapter Outline 1. Measuring center: the mean 2. Measuring center: the median 3. Comparing the mean and.
Box and Whisker Plot 5 Number Summary for Odd Numbered Data Sets.
Let’s Review for… AP Statistics!!! Chapter 1 Review Frank Cerros Xinlei Du Claire Dubois Ryan Hoshi.
1.3: Describing Quantitative Data with Numbers
Lecture PowerPoint Slides Basic Practice of Statistics 7 th Edition.
STAT 280: Elementary Applied Statistics Describing Data Using Numerical Measures.
Business Statistics: A Decision-Making Approach, 6e © 2005 Prentice-Hall, Inc. Chap 3-1 Business Statistics: A Decision-Making Approach 6 th Edition Chapter.
Percentiles and Box – and – Whisker Plots Measures of central tendency show us the spread of data. Mean and standard deviation are useful with every day.
Chapter 2 Describing Data.
2.1 Density Curves and the Normal Distribution.  Differentiate between a density curve and a histogram  Understand where mean and median lie on curves.
3.3 – Percentiles & Box-and-Whisker Plots Mean and Standard Deviation deal with exact numbers to measure. Sometimes measuring position is important too.
Central Tendency and Variability Chapter 4. Variability In reality – all of statistics can be summed into one statement: – Variability matters. – (and.
Lecture 3 Describing Data Using Numerical Measures.
Warm Up Find the mean, median, mode, range, and outliers of the following data. 11, 7, 2, 7, 6, 12, 9, 10, 8, 6, 4, 8, 8, 7, 4, 7, 8, 8, 6, 5, 9 How does.
Measures of Dispersion How far the data is spread out.
Numerical Statistics Given a set of data (numbers and a context) we are interested in how to describe the entire set without listing all the elements.
Measure of Central Tendency Measures of central tendency – used to organize and summarize data so that you can understand a set of data. There are three.
Chapter 5: Exploring Data: Distributions Lesson Plan Exploring Data Displaying Distributions: Histograms Interpreting Histograms Displaying Distributions:
Chap 3-1 A Course In Business Statistics, 4th © 2006 Prentice-Hall, Inc. A Course In Business Statistics 4 th Edition Chapter 3 Describing Data Using Numerical.
Numerical Measures of Variability
Chapter 5 Describing Distributions Numerically.
BPS - 5th Ed. Chapter 21 Describing Distributions with Numbers.
Summary Statistics: Measures of Location and Dispersion.
1 Message to the user... The most effective way to use a PowerPoint slide show is to go to “SLIDE SHOW” on the top of the toolbar, and choose “VIEW SHOW”
Statistics topics from both Math 1 and Math 2, both featured on the GHSGT.
Unit 4: Probability Day 4: Measures of Central Tendency and Box and Whisker Plots.
Chapter 5 Describing Distributions Numerically Describing a Quantitative Variable using Percentiles Percentile –A given percent of the observations are.
Probability & Statistics Box Plots. Describing Distributions Numerically Five Number Summary and Box Plots (Box & Whisker Plots )
Describe Quantitative Data with Numbers. Mean The most common measure of center is the ordinary arithmetic average, or mean.
CHAPTER 1 Exploring Data
a graphical presentation of the five-number summary of data
Describing Distributions Numerically
Chapter 3 Describing Data Using Numerical Measures
Chapter 5 : Describing Distributions Numerically I
Unit 2 Section 2.5.
Averages and Variation
Statistical Reasoning
Chapter 3 Describing Data Using Numerical Measures
CHAPTER 1 Exploring Data
CHAPTER 1 Exploring Data
Box and Whisker Plots Algebra 2.
Warmup What is the shape of the distribution? Will the mean be smaller or larger than the median (don’t calculate) What is the median? Calculate the.
Warmup What five numbers need to be mentioned in the complete sentence you write when the data distribution is skewed?
Five Number Summary and Box Plots
Cronnelly.
The absolute value of each deviation.
Describing Quantitative Data with Numbers
Measures of Central Tendency
Chapter 1 Warm Up .
Chapter 1: Exploring Data
Five Number Summary and Box Plots
CHAPTER 2: Describing Distributions with Numbers
BUSINESS MATHEMATICS & STATISTICS.
. . Box and Whisker Measures of Variation Measures of Variation 8 12
CHAPTER 1 Exploring Data
The Five-Number Summary
CHAPTER 1 Exploring Data
Describing Data Coordinate Algebra.
Presentation transcript:

1 Message to the user... The most effective way to use a PowerPoint slide show is to go to “SLIDE SHOW” on the top of the toolbar, and choose “VIEW SHOW” from the pull down menu. OR, using the shortcut toolbar on the bottom left, choose the rightmost icon (“SLIDE SHOW”) Use the spacebar, enter key or mouse to move through the slide show. Use the backspace key to undo the last animation on a slide TEACHERS : If using this show as part of a lecture, it is helpful to go to “PRINT” in the “FILE” menu and use the drop down menu at the bottom left: “PRINT WHAT.” For some shows, printing the “OUTLINE VIEW” will be helpful; as well as printing particular slides to use as handouts. (Many shows will include sound… you may want to turn on your speakers!) Revised 2002 Statistics Show #1 of 3

2 Statistics... Median, Mean, Range Quartiles 5-Number Summary

3 Arithmetic(numeric) Data Analysis A. Measures of Center FIRST… RANK the data: list it in order (usually) smallest -- largest 1. Median (M) of a distribution of n values: is found in the (n+1)/2 place in the list. (It is sometimes referred to as the 50th percentile) If n (the number of values in the list) is odd, then the median is an actual value in the list. If n is even, then the median is the average of the 2 middle values. (It might not be an actual value in the list)

4 Arithmetic(numeric) Data Analysis A. Measures of Center (ex#1) Given the following set of data, find the median (M) There are 15 values in the list (n=15) The POSITION of the median is: (15+1)/2 = 8th position The value of the median, M=25 M

5 Arithmetic(numeric) Data Analysis A. Measures of Center (ex#2) Given the following set of data, find the median (M) There are 4 values in the list (n=4) The POSITION of the median is: (4+1)/2 = 2.5th position The value of the median, M=(19+21)/2 = 40/2 = 20 M =20

6 Arithmetic(numeric) Data Analysis A. Measures of Center 2. Mean (x) of a distribution of n values: is the arithmetic average of the n values. (the sum of the values)/n (ex#2) Find the mean (x) of the 4 values: so, n=4 and the mean: x = ( )/4 x = 78/4 = 19.5

7 Arithmetic(numeric) Data Analysis B. Measures of SPREAD 1. RANGE: the difference described by subtracting: highest - lowest value Also sometimes expressed by stating “highest value” to “lowest value” (ex#1) The RANGE of the 15 values is:  = 15 units The values range from 17 to 32

8 Arithmetic(numeric) Data Analysis B. Measures of SPREAD 2. QUARTILES: used to measure the spread of the data when the MEDIAN is the measure of center. a. Rank the data b. Examine the data to the left of M and find their median call this median Q1 the first quartile (also called the 25th percentile) (ex#1) The 7 values to the left of M are: since n = 7 for this set of data, its MEDIAN (Q1) will be found in the: (7+1)/2 = 4th position So Q1 = 21 Q1

9 Arithmetic(numeric) Data Analysis B. Measures of SPREAD 2. QUARTILES c. Do the same thing for those values to the RIGHT of M Find their median Call it Q3 the third quartile (also called the 75th percentile) (ex#1) The 7 values to the right of M are: since n = 7 for this set of data, its MEDIAN (Q3) will be found in the: (7+1)/2 = 4th position So Q3 = 30 Q3

10 Arithmetic(numeric) Data Analysis B. Measures of SPREAD 2. QUARTILES (ex#1) d. Now the data is split into 4 equal parts (quarters) The QUARTILES are those MEDIANS found in steps (b) and (c) Q3MQ1

11 Arithmetic(numeric) Data Analysis B. Measures of SPREAD 3. 5-number summary: to describe the spread of the data about the MEDIAN is a list of the following values (in order from lowest to highest)... LOWESTQ1MQ3 HIGHEST LOWEST Q1 M Q3 HIGHEST (ex#1) The 5-Number Summary for this set of data is: From this we can tell a lot about the set of data, without seeing all 15 values.

12 Arithmetic(numeric) Data Analysis B. Measures of SPREAD (ex#1) The 5-Number Summary for this set of data is: Without seeing all of the data, we know: 50% of the data is 25 or less 25% of the data is 21 or less 75% of the data is 30 or less The data values range from 17 to 32 etc... BOX PLOT: a picture of a 5-number summary. A box spans the quartiles with a line to mark the median Whiskers extend to the high and low values.

13 Arithmetic(numeric) Data Analysis B. Measures of SPREAD (ex#1) 1. BOX PLOT : a picture of a 5- number summary. A box spans the quartiles with a line to mark the median Whiskers extend to the high and low values.  The 5 # Summary is The box plot can be vertical or horizontal

14 Using the 5# Summary to describe the spread of the data... The 5# Summary is used with the MEDIAN and QUARTILES. It gives you useful information about the original set of data without seeing the entire list. It is an especially useful description of data that is skewed or has outliers.

15 End of show #1 Going on?... Statistics Show # 2: Mean & Standard Deviation REVISED 2002 Prepared by Kimberly Conti, SUNY Fredonia Suggestions and comments to: