PARTITION VALUES-QUARTILES,DECILES AND PERCENTILES

Slides:



Advertisements
Similar presentations
Data Analysis Techniques II: Measures of Central Tendencies, Dispersion and Symmetry Advanced Planning Techniques, Lecture 9 Prof. Dr. S. Shabih-ul-Hassan.
Advertisements

Unit 16: Statistics Sections 16AB Central Tendency/Measures of Spread.
Percentiles  Measures of central tendency that divide a group of data into 100 parts.  At least n% of the data lie below the nth percentile, and at most.
Chapter 13 Statistics © 2008 Pearson Addison-Wesley. All rights reserved.
Descriptive Statistics: Numerical Methods, Part 1
Slide 1 © 2002 McGraw-Hill Australia, PPTs t/a Introductory Mathematics & Statistics for Business 4e by John S. Croucher 1 Measures of central tendency.
Percentiles A percentile is a measure of relative standing, meaning we get information about the position of a value relative to the rest of the data set.
Chapter 3 Numerically Summarizing Data
1 CUMULATIVE FREQUENCY AND OGIVES. 2 AS (a) Collect, organise and interpret univariate numerical data in order to determine measures of dispersion,
The arithmetic mean of a variable is computed by determining the sum of all the values of the variable in the data set divided by the number of observations.
Unit 3 Section 3-4.
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.
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.
S2A Chapter 7 More about Statistical Graphs Chung Tai Educational Press. All rights reserved. © Terminologies about Classes Lower class.
Homework Discussion Read pages 476 – 489 Page 499: 1 – 3, 5, 7 – 11, 19, 21, (for 23, 25, 29, 30, 32, find the mean)
0-12 Mean, Median, Mode, Range and Quartiles Objective: Calculate the measures of central tendency of a set of data.
Measures of Central Tendency & Spread
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.
Box and Whisker Plots/Graphs Used to show data Broken up into 4 quarters or quartiles. Uses a number line Need to find 5 numbers in order to create.
Chapter 3 Numerically Summarizing Data 3.4 Measures of Location.
Creating a Box-and-Whisker Plot O To create your own box-and-whisker plot, you must first find the following values. Lowest Value Lower Quartile Median.
1 1 Slide STATISTICS FOR BUSINESS AND ECONOMICS Seventh Edition AndersonSweeneyWilliams Slides Prepared by John Loucks © 1999 ITP/South-Western College.
Section 3.3 Measures of Relative Position HAWKES LEARNING SYSTEMS math courseware specialists Copyright © 2008 by Hawkes Learning Systems/Quant Systems,
Training Course on Basic Statistics for Research August 24-28, 2009 STATISTICAL RESEARCH AND TRAINING CENTER J and S Building, 104 Kalayaan Avenue, Diliman,
SESSION 17 & 18 Last Update 16 th March 2011 Measures of Dispersion Measures of Variability.
 z – Score  Percentiles  Quartiles  A standardized value  A number of standard deviations a given value, x, is above or below the mean  z = (score.
Measures of Position. ● The standard deviation is a measure of dispersion that uses the same dimensions as the data (remember the empirical rule) ● The.
The Median of a Continuous Distribution
Continued… Obj: draw Box-and-whisker plots representing a set of data Do now: use your calculator to find the mean for 85, 18, 87, 100, 27, 34, 93, 52,
Measures of Central Tendency. These measures indicate a value, which all the observations tend to have, or a value where all the observations can be assumed.
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.
INVESTIGATION Data Colllection Data Presentation Tabulation Diagrams Graphs Descriptive Statistics Measures of Location Measures of Dispersion Measures.
Box and Whisker Plots Measures of Central Tendency.
 Quartiles and Percentiles. Quartiles  A quartile divides a sorted (least to greatest) data set into 4 equal parts, so that each part represents ¼ of.
Sullivan – Fundamentals of Statistics – 2 nd Edition – Chapter 3 Section 4 – Slide 1 of 23 Chapter 3 Section 4 Measures of Position.
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.
Chapter 3 Percentiles. Standard Scores A standard score is a score derived from raw data and has a known basis for comparison. A standard score is a score.
Chapter 3.3 Quartiles and Outliers. Interquartile Range  The interquartile range (IQR) is defined as the difference between Q 1 and Q 3  It is the range.
The Third lecture We will examine in this lecture: Mean Weighted Mean Median Mode Fractiles (Quartiles-Deciles-Percentiles) Measures of Central Tendency.
Quantiles Michele Stora. Quantiles ► one of the class of values of a variate that divides the total frequency of a sample or population into a given number.
5 Number Summary. Definition (Five-Number Summary) The five-number summary of a set of numbers consists of the five quantities – Minimum – 1st quartile.
CCGPS Coordinate Algebra Unit 4: Describing Data.
Warm Up Find the median of the following data set. Car accidents on Main and First street during the past 7 years
Chapter 1 Lesson 4 Quartiles, Percentiles, and Box Plots.
Copyright © 2016 Brooks/Cole Cengage Learning Intro to Statistics Part II Descriptive Statistics Intro to Statistics Part II Descriptive Statistics Ernesto.
Creating a Box-and-Whisker Plot O To create your own box-and-whisker plot, you must first find the following values. Lowest Value Lower Quartile Median.
Introduction Central Tendency 1 Central Tendency or more simply average is a measure of finding a representative single figure for a large set of data.
©G Dear 2010 – Not to be sold/Free to use
MATHEMATICS The Measure of Data Location
Mathematical Presentation of Data Measures of Dispersion
Measures of Central Tendency
Unit 2 Section 2.5.
SCORING TERMINOLOGY USED IN ASSESSMENT
Numerical Measures: Skewness and Location
Box and Whisker Plots 50% Step 1 – Order the series.
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 3:3 Answers page #4-14 even
Box-And-Whisker Plots
Honors Statistics Chapter 4 Part 3
Section 13.4 Measures of Central Tendency
Comparing Statistical Data
Box-And-Whisker Plots
Box-And-Whisker Plots
Section 12.3 Box-and-Whisker Plots
Ch. 12 Vocabulary 15.) quartile 16.) Interquartile range
Box Plots How to create Box Plots.
Box Plot Lesson 11-4.
MATH 2311 Section 1.4.
Chapter 12 Statistics.
Presentation transcript:

PARTITION VALUES-QUARTILES,DECILES AND PERCENTILES 1.QUARTILES: Quartiles divides a series into 4 equal parts. For any series there are three quartiles denoted by Q1,Q2 and Q3. Q1 is known as first or lower quartile, covering 25% items. The second quartile or Q2 is the same as Median of the series. Q3 is called third or upper quartile, covering 75% items. 2.Deciles: Deciles divides a series into 10 equal parts. For any series, there are 9 deciles denoted by D1,D2…D9. These are called as first decile, second decile so on. 3.Percentiles: Percentiles divide a series into 100 equal parts. For any series, there are 99 percentiles denoted by P1,P2,P3…P99.

Calculation of Quartiles, Deciles and Percentiles For Individual and Discrete Series Q1= Size of N+1/4th item Q3= Size of 3(N+1)/4th item D1= Size of N+1/10th item D9 = Size of9(N+1)/10th item P1= Size of N+1/100th item P99= Size of 99(N+1)/100th item

Calculation of Quartiles, Deciles and Percentiles For Continuous Series Q1=Size of N/4th item Q3 =Size of 3N/4th item D1=Size of N/10th item D9=Size of 9N/10 item P1 =Size of N/100th item P99=Size of 99N/100th item Formula to be used in continuous series: Q1=L1+N/4-c.f*i/f Q3=L1+3N/4-c.f*i/f D1=L1+N/10-c.f*i/f D9=L1+9N/10-c.f*i/f P1=L1+N/100-c.f*i/f P99=L1+99N/100-c.f*i/f

INDIVIDUAL SERIES Example: From the following data calculate Q1,Q3,D5 and P25 21,15,40,30,26,45,50,54,60,65,70 The data is first arranged in ascending order: Q1=Size of (N+1)/4th item= Size of (11+1)/4th item=Size of 3rd item=26,Q1=26 Q3 =size of 3(n+1)/4th item =size of3(11+1)/4th item=size of 9th item = 60, Q3=60 D5=size of 5(N+1)/10th item =size of 5(11+1)/10th item =size of 6th item=45, D5=45 P25=size of 25(N+1)/100th item=size of 25(11+1)/100th item=size of 3rd item =26, P25=26 sn 1 2 3 4 5 6 7 8 9 10 11 N=11 X 15 21 26 30 40 45 50 54 60 65 70

DISCRETE SERIES Calculate Q1,Q3,D6 and P85 from the following data: Q1=size of N+1/4th item=49+1/4=size of 12.5th item=13 Q3 =size of #(N+1)/4th item=3(49+1)/4=size of 37.5th item=15 D6=size of 6(N+1)/10th item=6(49+1)/10=size of 30th item=14 P85=size of 85(N+1)/100th item=85(49+1)/100=size of 42.5th item=16 Thus,Q1=13,3=15,D6=14,P85=16 X 10 11 12 13 14 15 16 17 18 F 3 4 5 7 2 1 N=49 C.F 24 34 41 46 48 49

CONTINUOUS SERIES Calculation of Q1,Q3,D8 andP56 from the following data: Q1=size of N/4th item=size of 160/4th item=size of 40th item Q1 lies in the class 10-20 Q1=l1+N/4-c.f*i/f 10+40-22/38*10=10+4.74=14.74 Q1=14.74 Q3 =size of 3N/4th item=3(160)/4th item=size of 120th item Q3 lies in the class 30-40 Q3=l1+3N/4-c.f*i/f 30+120-106/35*10=34 Q3=34 D8 size of 8N/10th item=size of 8(160)/10th item=size of 128th item D8lies in the class 30-40 D8=l1+8N/10-c.f*i/f 30+128-106/35*10=36.29 D8=36.29 P56=size of 56N/100th item 56(160)/100th item Size of 89.6th item P56 lies in the class20-30 P56=l1+56N/100-c.f*i/f 20+89.6-60/46*10=26.43 P56=26.43 wages 0-10 10-20 20-30 30-40 40-50 f 22 38 46 35 19 N=160 c.f 60 106 141 160