AP Statistics. Definition An ogive is a graph that represents cumulative frequencies or cumulative relative frequencies of a data set. It is constructed.

Slides:



Advertisements
Similar presentations
Chapter 2 Exploring Data with Graphs and Numerical Summaries
Advertisements

3.3 Measures of Position Measures of location in comparison to the mean. - standard scores - percentiles - deciles - quartiles.
CHAPTER 2 Modeling Distributions of Data
2.1 Describing Location in a Distribution. Measuring Position: Percentiles One way to describe the location of a value in a distribution is to tell what.
Quantitative Data Continued Histograms. Used with numerical data Bars touch on histograms Two types – Discrete Bars are centered over discrete values.
1. 2 BIOSTATISTICS TOPIC 5.4 MEASURES OF DISPERSION.
Raw Scores. Un-Grouped Frequency Distribution Grouped Frequency Distribution.
Ch 11 – Probability & Statistics
Cumulative Frequency Curves. Outcomes… Calculate the cumulative frequency Write down the upper class boundaries Plot the cumulative frequency curve Find.
Cumulative Frequency Objectives: B Grade Construct and interpret a cumulative frequency diagram Use a cumulative frequency diagram to estimate the median.
Unit 3 Section 3-4.
CHAPTER 39 Cumulative Frequency. Cumulative Frequency Tables The cumulative frequency is the running total of the frequency up to the end of each class.
Mrs. Aldous, Mr. Beetz & Mr. Thauvette DL SL Mathematics
Frequency Table Frequency tables are an efficient method of displaying data The number of cases for each observed score are listed Scores that have 0 cases.
Recognizing percentiles. A percentile is the value of a variable below which a certain percent of observations fall.percent So the 20th percentile is.
The Practice of Statistics, 5th Edition Starnes, Tabor, Yates, Moore Bedford Freeman Worth Publishers CHAPTER 2 Modeling Distributions of Data 2.1 Describing.
Frequency Distribution Table
The Practice of Statistics, 5th Edition Starnes, Tabor, Yates, Moore Bedford Freeman Worth Publishers CHAPTER 2 Modeling Distributions of Data 2.1 Describing.
AP Stats Chapter 1 Review. Q1: The midpoint of the data MeanMedianMode.
+ Chapter 2: Modeling Distributions of Data Section 2.1 Describing Location in a Distribution The Practice of Statistics, 4 th edition - For AP* STARNES,
Compare the data sets given below. a. 20, 30, 40, 50, 60, 70 b. 20, 43, 44, 46, 47, 70 c. 40, 43, 44, 46, 47, 50 Med = 45.
Modeling Distributions of Data Describing location in a distribution Chapter 2.1.
+ Chapter 2: Modeling Distributions of Data Section 2.1 Describing Location in a Distribution The Practice of Statistics, 4 th edition - For AP* STARNES,
SWBAT: Use percentiles to locate individual values within distributions of data. Interpret a cumulative relative frequency graph. Find the standardized.
LIS 570 Summarising and presenting data - Univariate analysis.
Lesson 2 - R Review of Chapter 2 Describing Location in a Distribution.
TRANSLATIONS OF DATA CHAPTER 3 LESSON 3 VOCABULARY Translation- a transformation that maps each x i to x i +h, where h is a constant Invariant- Unchanged.
 By the end of this section, you should be able to: › Find and interpret the percentile of an individual value within a distribution of data. › Estimate.
Chapter 2 Modeling Distributions of Data
Statistics 1: Statistical Measures
CHAPTER 2 Modeling Distributions of Data
CHAPTER 2 Modeling Distributions of Data
Welcome to Week 03 Thurs MAT135 Statistics
Unit 2 Section 2.5.
Histograms , Frequency polygons and Ogives
Chapter 2: Modeling Distributions of Data
Unit 5 Stats.
Box and Whisker Plots Algebra 2.
Organizing and Displaying Data
Chapter 2: Modeling Distributions of Data
Calculating IQR and Identifying Outliers
Cumulative Frequency Objectives: level :9 Construct and interpret a cumulative frequency diagram Use a cumulative frequency diagram to estimate the median.
CHAPTER 2 Modeling Distributions of Data
CHAPTER 2 Modeling Distributions of Data
Honors Statistics Chapter 4 Part 3
CHAPTER 2 Modeling Distributions of Data
Chapter 2: Modeling Distributions of Data
Chapter 2: Modeling Distributions of Data
Describing Location in a Distribution
Descriptive Statistics
Chapter 2: Modeling Distributions of Data
CHAPTER 2 Modeling Distributions of Data
CHAPTER 2 Modeling Distributions of Data
CHAPTER 2 Modeling Distributions of Data
Chapter 2: Modeling Distributions of Data
Chapter 2: Modeling Distributions of Data
CHAPTER 2 Modeling Distributions of Data
CHAPTER 2 Modeling Distributions of Data
Cumulative Frequency Objectives:
Chapter 2: Modeling Distributions of Data
Chapter 2: Modeling Distributions of Data
Chapter 2: Modeling Distributions of Data
Describing Location in a Distribution
Chapter 2: Modeling Distributions of Data
Chapter 2: Modeling Distributions of Data
CHAPTER 2 Modeling Distributions of Data
Chapter 2: Modeling Distributions of Data
Chapter 2: Modeling Distributions of Data
Chapter 2: Modeling Distributions of Data
CHAPTER 2 Modeling Distributions of Data
Presentation transcript:

AP Statistics

Definition An ogive is a graph that represents cumulative frequencies or cumulative relative frequencies of a data set. It is constructed from a cumulative frequency histogram or from a cumulative relative frequency histogram. For our purposes, we will create just the cumulative relative frequency ogive, as it enables us to estimate percentiles.

Percentiles In statistics, a percentile is the value of a variable below which a certain percent of observations fall. For example, the 20th percentile is the value (or score) below which 20 percent of the observations may be found. The term percentile and the related term percentile rank are often used in the reporting of scores from norm-referenced tests. For example, if a score is in the 86th percentile, it is higher than 85% of the other scores. The median of a data set is also known as the 50 th percentile.

Constructing an Ogive Here is the Frequency Distribution for the attendance (in thousands) at Super Bowl Data for games I to XXXVI (1 to 36): Notice the two extra columns. Class Limits Class Boundaries Freq.Relative Frequency Cumulative Frequency Cumulative Relative Frequency

Cumulative Values Cumulative Frequencies and Cumulative Relative Frequencies represent “running totals” for the two columns which precede them. Below is a “complete” frequency distribution.

Step 1: Draw a Cumulative Relative Frequency Histogram.

Step 2: Draw the Ogive Curve

Step 3: Remove the Histogram (optional)

Step 4: Estimate Percentiles About 77,000 people.

Estimate the 80 th Percentile About 88,500 people.

What percentile would represent 70,000 in attendance? About the 15 th Percentile.

Interquartile Range (IQR) Interquartile Range is a measure of spread. It is a number summary that indicates the spread of the middle 50% of the data after it is rank-ordered. To calculate IQR, find the 75 th percentile of the data set, and subtract from it the value of the 25 th percentile. The resulting value is the IQR. Later, we will call the 75 th percentile “Q3”. Similarly, we will call the 25 th percentile “Q1”. Thus, IQR = Q3 – Q1.

Homework Worksheet on Ogives.