StatisticsStatistics Unit 5. Example 2 We reviewed the three Measures of Central Tendency: Mean, Median, and Mode. We also looked at one Measure of Dispersion.

Slides:



Advertisements
Similar presentations
C. D. Toliver AP Statistics
Advertisements

Chapter 2 Exploring Data with Graphs and Numerical Summaries
Additional Measures of Center and Spread
Descriptive Measures MARE 250 Dr. Jason Turner.
Unit 1.1 Investigating Data 1. Frequency and Histograms CCSS: S.ID.1 Represent data with plots on the real number line (dot plots, histograms, and box.
Measures of Position - Quartiles
Measures of Dispersion
Unit 4: Describing Data.
Warm-Up 4/15/2017 In a golf tournament, the top 6 men’s and women’s scores are given. Calculate the mean, median, mode, range, and IQR for each data.
Descriptive Statistics
1. 2 BIOSTATISTICS TOPIC 5.4 MEASURES OF DISPERSION.
Business Statistics: A Decision-Making Approach, 7e © 2008 Prentice-Hall, Inc. Chap 3-1 Business Statistics: A Decision-Making Approach 7 th Edition Chapter.
Business Statistics: A Decision-Making Approach, 7e © 2008 Prentice-Hall, Inc. Chap 3-1 Business Statistics: A Decision-Making Approach 7 th Edition Chapter.
1 Distribution Summaries Measures of central tendency Mean Median Mode Measures of spread Range Standard Deviation Interquartile Range (IQR)
Homework Questions. Quiz! Shhh…. Once you are finished you can work on the warm- up (grab a handout)!
Unit 4 – Probability and Statistics
Chapter 5 – 1 Chapter 5: Measures of Variability The Importance of Measuring Variability The Range IQR (Inter-Quartile Range) Variance Standard Deviation.
© Copyright McGraw-Hill CHAPTER 3 Data Description.
SECTION 1-7: ANALYZING AND DISPLAYING DATA Goal: Use statistical measures and data displays to represent data.
Chapter 5 – 1 Chapter 5: Measures of Variability The Importance of Measuring Variability IQV (Index of Qualitative Variation) The Range IQR (Inter-Quartile.
STAT 280: Elementary Applied Statistics Describing Data Using Numerical Measures.
6-9 Data Distributions Objective Create and interpret box-and-whisker plots.
Lecture 5 Dustin Lueker. 2 Mode - Most frequent value. Notation: Subscripted variables n = # of units in the sample N = # of units in the population x.
Measures of Dispersion How far the data is spread out.
INVESTIGATION 1.
Do Now Find the mean, median, mode, and range of each data set and then state which measure of central tendency best represents the data. 1)2, 3, 3, 3,
Practice Page 65 –2.1 Positive Skew Note Slides online.
Box and Whisker Plots Measures of Central Tendency.
Summary Statistics and Mean Absolute Deviation MM1D3a. Compare summary statistics (mean, median, quartiles, and interquartile range) from one sample data.
Summary Statistics: Measures of Location and Dispersion.
Statistics topics from both Math 1 and Math 2, both featured on the GHSGT.
LIS 570 Summarising and presenting data - Univariate analysis.
Cumulative frequency Cumulative frequency graph
BOX AND WHISKER PLOTS Unit 8 – M1F. Warm – Up!! ■As you walk in, please pick up your calculator and begin working on the warm –up! 1.Using the data to.
MODULE 3: DESCRIPTIVE STATISTICS 2/6/2016BUS216: Probability & Statistics for Economics & Business 1.
Unit 4: Probability Day 4: Measures of Central Tendency and Box and Whisker Plots.
Introductory Statistics Lesson 2.5 A Objective: SSBAT find the first, second and third quartiles of a data set. SSBAT find the interquartile range of a.
COMPUTATIONAL FORMULAS AND IQR’S. Compare the following heights in inches: BoysGirls
Module 8 Test Review. Find the following from the set of data: 6, 23, 8, 14, 21, 7, 16, 8  Five Number Summary: Answer: Min 6, Lower Quartile 7.5, Median.
5-Number Summary A 5-Number Summary is composed of the minimum, the lower quartile (Q1), the median (Q2), the upper quartile (Q3), and the maximum. These.
Chapter 1 Lesson 4 Quartiles, Percentiles, and Box Plots.
Holt McDougal Algebra 1 Data Distributions Holt Algebra 1 Warm Up Warm Up Lesson Presentation Lesson Presentation Lesson Quiz Lesson Quiz Holt McDougal.
Chapter 4: Measures of Variability
Solve on the back of your bingo board.
Please copy your homework into your assignment book
Chapter 5 : Describing Distributions Numerically I
Measures of Central Tendency & Center of Spread
Unit 2 Section 2.5.
Warm Up Convert to degrees a) 3
Averages and Variation
DS5 CEC Interpreting Sets of Data
Chapter 3 Describing Data Using Numerical Measures
Analyze Data: IQR and Outliers
Measures of Central Tendency & Center of Spread
Unit 4 Statistics Review
Box and Whisker Plots Algebra 2.
Numerical Measures: Skewness and Location
Unit 4 Part 1 Test Review.
Lesson 10-3 Data Distributions
STA 291 Spring 2008 Lecture 5 Dustin Lueker.
STA 291 Spring 2008 Lecture 5 Dustin Lueker.
Calculating IQR and Identifying Outliers
The absolute value of each deviation.
Measuring Variation – The Five-Number Summary
Common Core State Standards:
Warmup - Just put on notes page
Measures of central tendency
Statistics and Data (Algebraic)
Find the 5 number summary needed to create a box and whisker plot.
Box and Whisker Plots.
Presentation transcript:

StatisticsStatistics Unit 5

Example 2 We reviewed the three Measures of Central Tendency: Mean, Median, and Mode. We also looked at one Measure of Dispersion – range. Another Measure of Dispersion is Standard Deviation Standard Deviation is a measure of how the values in a data set vary, or deviate, from the mean. Objective: Students will use statistics appropriate to the shape of the data distribution to compare center (median, mean) and spread (interquartile range, standard deviation) of two or more different data sets.

Example 2 Standard deviation is a simple measure of the variability or dispersion of a data set. A low standard deviation indicates that the data points tend to be very close to the same value (the mean). A high standard deviation indicates that the data are “spread out” over a large range of values. Objective: Students will use statistics appropriate to the shape of the data distribution to compare center (median, mean) and spread (interquartile range, standard deviation) of two or more different data sets.

Example 3 standard deviation formula: Objective: Students will use statistics appropriate to the shape of the data distribution to compare center (median, mean) and spread (interquartile range, standard deviation) of two or more different data sets. Sigma – represents standard deviation Capital Sigma – represents the sum of a series of numbers. n is the number of values in a data set.

Find the mean and standard deviation of each data set. Which data set has a greater standard deviation? Use tables to help organize your work. Data set 1 - {12.6, 15.1, 11.2, 17.9, 18.2} Data set 2 – {13.4, 11.7, 18.3, 14.8, 14.3} Data Set 1 x1x – 15 = – 15 = – 15 = – 15 = – 15 = 3.2 (-2.4) 2 = 5.76 (0. 1) 2 = 0.01 (-3.8) 2 = (2.9) 2 = 8.41 (3.2) 2 = 10.24

Find the mean and standard deviation of each data set. Which data set has a greater standard deviation? Use tables to help organize your work. Data set 1 - {12.6, 15.1, 11.2, 17.9, 18.2} Data set 2 – {13.4, 11.7, 18.3, 14.8, 14.3} Data Set 2 x1x1

Find the mean and standard deviation of each data set. Which data set has a greater standard deviation? Use tables to help organize your work. Data set 1 - {12.6, 15.1, 11.2, 17.9, 18.2} Data set 2 – {13.4, 11.7, 18.3, 14.8, 14.3} Data Set 2 x1x

Find the mean and standard deviation of each data set. Which data set has a greater standard deviation? Use tables to help organize your work. Data set 1 - {12.6, 15.1, 11.2, 17.9, 18.2} Data set 2 – {13.4, 11.7, 18.3, 14.8, 14.3} Data Set 2 x1x

Find the mean and standard deviation of each data set. Which data set has a greater standard deviation? Use tables to help organize your work. Data set 1 - {12.6, 15.1, 11.2, 17.9, 18.2} Data set 2 – {13.4, 11.7, 18.3, 14.8, 14.3} Data Set 2 x1x

Find the mean and standard deviation of each data set. Which data set has a greater standard deviation? Use tables to help organize your work. Data set 1 - {12.6, 15.1, 11.2, 17.9, 18.2} Data set 2 – {13.4, 11.7, 18.3, 14.8, 14.3} Data Set 2 x1x

Find the mean and standard deviation of each data set. Which data set has a greater standard deviation? Use tables to help organize your work. Data set 1 - {12.6, 15.1, 11.2, 17.9, 18.2} Data set 2 – {13.4, 11.7, 18.3, 14.8, 14.3} Data Set 2 x1x

Find the mean and standard deviation of each data set. Which data set has a greater standard deviation? Use tables to help organize your work. Data set 1 - {12.6, 15.1, 11.2, 17.9, 18.2} Data set 2 – {13.4, 11.7, 18.3, 14.8, 14.3} Data Set 2 x1x

Turn to page 745 and complete the 4 problems at the bottom of the page. Set up a table for each set of data Data Set x1x1

Turn to page 745 and complete the 4 problems at the bottom of the page. Set up a table for each set of data Data Set x1x1

POD - Turn to page 745 and complete problem number 1 at the bottom of the page. Set up a table for each set of data Data Set x1x1

POD - Turn to page 745 and complete problem number 1 at the bottom of the page. Set up a table for each set of data Data Set x1x

Example 4 – Find the measures of central tendency, and the measures of dispersion mean median Mode range standard deviation

x1x1

x1x

x1x

x1x

x1x

x1x /15 = 72.27

x1x /15 = 72.27

Example 4 – Find the measures of central tendency, and the measures of dispersion mean median Mode range standard deviation

Example 5 –Identify the Maximum, Minimum, Upper Quartile, Lower Quartile and the Median. Then create a Box and Whisker Plot Maximum Upper Quartile Median Lower Quartile Minimum

Example 6 – Compute the Interquartile Range (IQR) and then determine if there are any outliers Median + (1.5 x IQR) Median - (1.5 x IQR) Maximum Upper Quartile Median Lower Quartile Minimum All of the data falls between and so there are No Outliers Interquartile Range (IQR) 1.5 x Interquartile Range (IQR)

Homework page 745 Number 2

Summary: Need to be able to find mean median Mode range standard deviation Maximum Upper Quartile Median Lower Quartile Minimum Interquartile Range (IQR) 1.5 x Interquartile Range (IQR) Median + (1.5 x IQR) Median - (1.5 x IQR) Create a Box and Whisker Plot

Example 6 – Number 1

Example 6 – Number 2

Example 6 – Number 3 160

Example 6 – Number 4

Example 6 – Number 5

Example 6 – Number 6

Example 6 – Number 7

Homework page 745 Use the data in question # 4 Data set 1 to find the measures of central tendency, measures of dispersion, upper quartile, lower quartile, minimum, maximum and make a box and whisker plot. Find the interquartile range and determine if there are outliers.

Homework page 745 (using data set 1 from question 4) mean median Mode range standard deviation Maximum Upper Quartile Median Lower Quartile Minimum Interquartile Range (IQR) 1.5 x Interquartile Range (IQR) Median + (1.5 x IQR) Median - (1.5 x IQR) = 16

page 745 data set 1 problem number 4 Data Set x1x

page 745 data set 1 problem number 4 Data Set x1x

Homework page 745 (using data set 1 from question 4) mean median Mode range standard deviation Maximum Upper Quartile Median Lower Quartile Minimum Interquartile Range (IQR) 1.5 x Interquartile Range (IQR) Median + (1.5 x IQR) Median - (1.5 x IQR) = =10 1.5x10= = = 20 All of the data falls between 50 and 20 so there are no outliers.

Homework page 745 (using data set 1 from question 4) Maximum Upper Quartile Median Lower Quartile Minimum

Example of a positively skewed box and whisker plot When the whisker is longer on the positive side we say it is positively skewed.

Example of a negatively skewed box and whisker plot When the whisker is longer on the negative side we say it is negatively skewed.

Special cases Find the mode: 1) 14, 14, 14, 15,15, 15, 16, 16, 16, 18 2)2, 2, 3, 3, 4, 4, 5, 5, 6, 6, 7, 7, 8, 8 3) 33, 35, 36, 39, 41, 43, 47

Special Cases Find the median: 1) 12, 14, 14, 15,17, 18, 18, 21, 22, 25 2) 43, 45, 51, 53, 54, 54, 59, 60

POD You are one of the finalists at a science fair. The scores of the other finalists are listed in the table. 1.Write an inequality that represents your possible scores if your percentile is 80. What percent of scores must be less than or equal to your score? What is the total number of finalists scores?

Maximum Upper Median Lower Maximum Summary: In your notes, explain the difference between range and interquartile range.

Maximum Upper Median Lower Minimum If your percentile rank is 80, then your score must be greater than or equal to 90 and less than 94 Or 90 < x < 94 Summary: In your notes, explain the difference between range and interquartile range. 75%100%

Example 9 Turn to page 760 in your textbook. The tables in green are called “Two Way Frequency Tables. Read through Activity 1 and 2 and answer questions 1-10 together with your group. ROUND ALL PERCENTS TO THE NEARES TENTH. Be prepared to make a team sheet for team points. Summary: When your groups finishes, in your notes, explain the difference between range and interquartile range.

Example :90 about 13.3% 2. 12:98 about 12.2% 3. 86:98 about 87.8% 4. 25:103 about 24.3% 5. Martial Arts Champ Story of Love 6. 79:100 79% 7. 55:100 55% 8. 67:100 67% 9. 45:100 45% Summary: When your groups finishes, in your notes, explain the difference between range and interquartile range.

Example a + 0.4b + 0.5c Summary: When your groups finishes, in your notes, explain the difference between range and interquartile range. 0.1(0.79) + 0.4(0.55) + 0.5(0.33) or 46.4%