HAWKES LEARNING SYSTEMS Students Matter. Success Counts. Copyright © 2013 by Hawkes Learning Systems/Quant Systems, Inc. All rights reserved. Section 3.3.

Slides:



Advertisements
Similar presentations
C. D. Toliver AP Statistics
Advertisements

Chapter 2 Exploring Data with Graphs and Numerical Summaries
Measures of Dispersion boxplots. RANGE difference between highest and lowest value; gives us some idea of how much variation there is in the categories.
Additional Measures of Center and Spread
Describing Data: Percentiles
Measures of Position - Quartiles
SECTION 3.3 MEASURES OF POSITION Copyright © The McGraw-Hill Companies, Inc. Permission required for reproduction or display.
Warm Up. Lesson 54, Displaying Data in a Box-and- Whisker Plot Probability and Statistics.
Section 2.5 Measures of Position.
Unit 3 Section 3-4.
Vocabulary for Box and Whisker Plots. Box and Whisker Plot: A diagram that summarizes data using the median, the upper and lowers quartiles, and the extreme.
Box and Whisker Plots and Quartiles Sixth Grade. Five Statistical Summary When describing a set of data we have seen that we can use measures such as.
Section 2.5 Measures of Position Larson/Farber 4th ed.
Quartiles + Box and Whisker Plots. Quartiles Step 1: Find the Median. This is called Q2, or the second quartile. Step 2: Split the first half into 2 equal.
12.4 – Measures of Position In some cases, the analysis of certain individual items in the data set is of more interest rather than the entire set. It.
Section 2.5 Measures of Position.
Measures of Position and Outliers. z-score (standard score) = number of standard deviations that a given value is above or below the mean (Round z to.
Section 2.5 Measures of Position Larson/Farber 4th ed. 1.
Copyright © 2005 Pearson Education, Inc. Slide 6-1.
Table of Contents 1. Standard Deviation
Section 1 Topic 31 Summarising metric data: Median, IQR, and boxplots.
Section 3.3 Measures of Relative Position HAWKES LEARNING SYSTEMS math courseware specialists Copyright © 2008 by Hawkes Learning Systems/Quant Systems,
Chapter 1: Exploring Data Lesson 4: Quartiles, Percentiles, and Box Plots Mrs. Parziale.
Measures of Position. ● The standard deviation is a measure of dispersion that uses the same dimensions as the data (remember the empirical rule) ● The.
HAWKES LEARNING SYSTEMS Students Matter. Success Counts. Copyright © 2013 by Hawkes Learning Systems/Quant Systems, Inc. All rights reserved. Section 3.3.
HAWKES LEARNING SYSTEMS Students Matter. Success Counts. Copyright © 2013 by Hawkes Learning Systems/Quant Systems, Inc. All rights reserved. Section 3.3.
Copyright © 2015, 2012, and 2009 Pearson Education, Inc. 1 Chapter Descriptive Statistics 2.
BOX PLOTS (BOX AND WHISKERS). Boxplot A graph of a set of data obtained by drawing a horizontal line from the minimum to maximum values with quartiles.
Quantitative data. mean median mode range  average add all of the numbers and divide by the number of numbers you have  the middle number when the numbers.
Box-And-Whisker Plots By Virginia Vimpeny Lewis. What information do we need? Minimum data value Lower Quartile Median Upper Quartile Maximum data value.
Percentiles For any whole number P (between 1 and 99), the Pth percentile of a distribution is a value such that P% of the data fall at or below it. The.
Chapter 2 Section 5 Notes Coach Bridges
Sample Box-and-Whisker Plot lower extreme, or minimum value 1st quartile, the median of the lower half of the data set 2nd quartile, the median of the.
Chapter 5: Boxplots  Objective: To find the five-number summaries of data and create and analyze boxplots CHS Statistics.
Section 6.7 Box-and-Whisker Plots Objective: Students will be able to draw, read, and interpret a box-and- whisker plot.
Descriptive Statistics Chapter 2. § 2.5 Measures of Position.
Measures of Position Section 3-3.
Box Plots March 20, th grade. What is a box plot? Box plots are used to represent data that is measured and divided into four equal parts. These.
What is a box-and-whisker plot? 5-number summary Quartile 1 st, 2 nd, and 3 rd quartiles Interquartile Range Outliers.
Section 2.5 Measures of Position.
Measures of Position Where does a certain data value fit in relative to the other data values?
Chapter 1 Lesson 4 Quartiles, Percentiles, and Box Plots.
Probability & Statistics Box Plots. Describing Distributions Numerically Five Number Summary and Box Plots (Box & Whisker Plots )
Making a Box & Whiskers Plot Give Me Five!. 5 Numbers are Needed 1) Lowest: Least number of the data set 2) Lower Quartile : The median of the lower half.
HAWKES LEARNING SYSTEMS Students Matter. Success Counts. Copyright © 2013 by Hawkes Learning Systems/Quant Systems, Inc. All rights reserved. Section 3.3.
Descriptive Statistics Chapter 2. § 2.5 Measures of Position.
Measures of Relative Standing and Boxplots
Measures of Position – Quartiles and Percentiles
Get out your notes we previously took on Box and Whisker Plots.
Measures of Position Section 2-6
Elementary Statistics
Unit 2 Section 2.5.
Measures of Position.
Box and Whisker Plots Algebra 2.
Measures of Position Quartiles Interquartile Range
BOX-and-WHISKER PLOT (Box Plot)
How to create a Box and Whisker Plot
Descriptive Statistics
Measures of Central Tendency
Measures of Position Section 3.3.
Day 52 – Box-and-Whisker.
1-4 Quartiles, Percentiles and Box Plots
Box and Whisker Plots.
5 Number Summaries.
Box and Whisker Plots and the 5 number summary
BOX-and-WHISKER PLOT (Box Plot)
Statistics Vocab Notes
Measures of Relative Position
Box Plot Lesson 11-4.
MATH 2311 Section 1.4.
Presentation transcript:

HAWKES LEARNING SYSTEMS Students Matter. Success Counts. Copyright © 2013 by Hawkes Learning Systems/Quant Systems, Inc. All rights reserved. Section 3.3 Measures of Relative Position With some added content by D.R.S., University of Cordele

Measures of Relative Position “How do I compare with everybody else?” 1.nth place 2.Percentiles a.Given percentile P, find data value there. b.Given data value, what’s its percentile? 3.Quartiles 4.Five Number Summary and the Box Plot diagram 5.Standard Score (also known as z-score) 6.Outliers

N th Place The highest and the lowest 2 nd highest, 3 rd highest, etc. “Olin earned $41,246. He’s in ___ th place out of ___.” 3

Getting a handle on the idea of Percentiles If your test score were at this percentile, do you consider it to be high or low or middleish? 90 th percentile is _______________ (≥90% of the pop.) 70 th percentile is _______________ (≥70% of the pop.) 40 th percentile is _______________ (≥40% of the pop.) 10 th percentile is _______________ (≥10% of the pop.) “Olin’s $ salary is the same or higher than ____% of the population.” FRACTION: > or = how many? how many in population? and convert it to a percent: _____ % =

Two Kinds of Percentile Problems. The ______th Percentile The Data Value is _______ Percentile is given. You have to find the data value. Question is like this: “The salary at the 90 th percentile is $how much?” Data value is given. They ask for percentile. The question is like this: “A $50,000 salary puts you in the the ?th percentile?” Example 3.18 is this kind of problem Example 3.19 is this kind of problem

“What is the data value at the P th percentile?” This is like Example 3.18

HAWKES LEARNING SYSTEMS Students Matter. Success Counts. Copyright © 2013 by Hawkes Learning Systems/Quant Systems, Inc. All rights reserved. If you know the value, what’s its percentile? For this formula, always ROUND in the usual rounding way of rounding (5 or higher round up; 4 or lower chop down)

.. Avoid this common error: If your answer is “36%”, you are WRONG. The correct answer is “The 36 th Percentile”. Percents and Percentiles are related, sure. But good grammar and proper usage matter.

HAWKES LEARNING SYSTEMS Students Matter. Success Counts. Copyright © 2013 by Hawkes Learning Systems/Quant Systems, Inc. All rights reserved. Quartiles Q 1 = First Quartile: 25% of the data are less than or equal to this value. Q 2 = Second Quartile: 50% of the data are less than or equal to this value. Q 3 = Third Quartile: 75% of the data are less than or equal to this value.

Quintiles and Deciles You might also encounter – Quintiles, dividing data set into 5 groups. – Deciles, dividing data set into 10 groups. These are done by the Percentile method: – Deciles correspond to percentiles 10, 20, …, 90 – Quintiles correspond to percentiles 20, 40, 60, 80 10

HAWKES LEARNING SYSTEMS Students Matter. Success Counts. Copyright © 2013 by Hawkes Learning Systems/Quant Systems, Inc. All rights reserved. Five-Number Summary and Box Plots Interquartile Range (IQR) The interquartile range is the range of the middle 50% of the data, given by IQR = Q 3  Q 1 where Q 3 is the third quartile and Q 1 is the first quartile. How “wide” is the “middle half” of the data set?

HAWKES LEARNING SYSTEMS Students Matter. Success Counts. Copyright © 2013 by Hawkes Learning Systems/Quant Systems, Inc. All rights reserved.

HAWKES LEARNING SYSTEMS Students Matter. Success Counts. Copyright © 2013 by Hawkes Learning Systems/Quant Systems, Inc. All rights reserved. Example 3.23: Creating a Box Plot Draw a box plot to represent the five-number summary for a data set whose five-number summary was 12.1, 19.8, 23.6, 25.3, 35.9 _____, _____, _____, _____, _____ Step 1: Label the horizontal axis at even intervals.

HAWKES LEARNING SYSTEMS Students Matter. Success Counts. Copyright © 2013 by Hawkes Learning Systems/Quant Systems, Inc. All rights reserved. Example 3.23: Creating a Box Plot (cont.) Step 2:Place a small line segment above each of the numbers in the five ‑ number summary.

HAWKES LEARNING SYSTEMS Students Matter. Success Counts. Copyright © 2013 by Hawkes Learning Systems/Quant Systems, Inc. All rights reserved. Example 3.23: Creating a Box Plot (cont.) Step 3:Connect the line segment that represents Q 1 to the line segment that represents Q 3, forming a box with the median’s line segment in between.

HAWKES LEARNING SYSTEMS Students Matter. Success Counts. Copyright © 2013 by Hawkes Learning Systems/Quant Systems, Inc. All rights reserved. Example 3.23: Creating a Box Plot (cont.) Step 4:Connect the “box” to the line segments representing the minimum and maximum to form the “whiskers.” TI-84 Boxplot information is at this link: 84.pdf

z Scores

The Literature test The mean score was 77 points. The standard deviation was 11 points Sue earned 91 points Find her z score for this test: The Biology test The mean score was 47 points The standard deviation was 6 points Sue earned 55 points Find her z score for this test: 18 On which test did she have the “better” performance?

Interquartile Range and Outliers Extra topic for awareness 19

Outliers Example 20

Outliers Example 21

No-Outliers Example 22

Outliers: Good or Bad? “I have an outlier in my data set. Should I be concerned?” – Could be bad data. A bad measurement. Somebody not being honest with the pollster. – Could be legitimately remarkable data, genuine true data that’s extraordinarily high or low. “What should I do about it?” – The presence of an outlier is shouting for attention. Evaluate it and make an executive decision. 23