Ch 11 – Probability & Statistics

Slides:



Advertisements
Similar presentations
A frequency table is an organized count of items or values. In its simplest form a frequency table shows how frequently each particular value occurs in.
Advertisements

DENSITY CURVES and NORMAL DISTRIBUTIONS. The histogram displays the Grade equivalent vocabulary scores for 7 th graders on the Iowa Test of Basic Skills.
Chapter 9: The Normal Distribution
NORMAL CURVE Needed for inferential statistics. Find percentile ranks without knowing all the scores in the distribution. Determine probabilities.
Normal Distributions What is a Normal Distribution? Why are Many Variables Normally Distributed? Why are Many Variables Normally Distributed? How Are Normal.
6-2 The Standard Normal Distribution
AP Stats BW 9/17 1)Which set has the largest standard deviation? The smallest? a b c )Without calculating,
Did you know ACT and SAT Score are normally distributed?
The Normal Distribution
Discrete and Continuous Random Variables Continuous random variable: A variable whose values are not restricted – The Normal Distribution Discrete.
12.3 – Measures of Dispersion
Standard Deviation In addition to level 3.0 and above and beyond what was taught in class, the student may: · Make connection with other concepts.
Chapter 2 CREATING AND USING FREQUENCY DISTRIBUTIONS.
Chapter 13 Statistics © 2008 Pearson Addison-Wesley. All rights reserved.
Frequency Distributions and Percentiles
Normal Distributions.
Copyright © 2013, 2009, and 2007, Pearson Education, Inc. 1 PROBABILITIES FOR CONTINUOUS RANDOM VARIABLES THE NORMAL DISTRIBUTION CHAPTER 8_B.
Copyright © 2011 Pearson Education, Inc. Putting Statistics to Work.
Chapter 13 Section 7 – Slide 1 Copyright © 2009 Pearson Education, Inc. AND.
1 Normal Random Variables In the class of continuous random variables, we are primarily interested in NORMAL random variables. In the class of continuous.
Standard Normal Distribution
Distribution of the Data. Normal Distribution. What you’ll learn Compare two sets of data. Describe the shape of the distribution. Use the shapes of distribution.
Chapter 8 Extension Normal Distributions. Objectives Recognize normally distributed data Use the characteristics of the normal distribution to solve problems.
Chapter 12 – Probability and Statistics 12.7 – The Normal Distribution.
© 2008 Pearson Addison-Wesley. All rights reserved Chapter 1 Section 13-5 The Normal Distribution.
Chapter 6.1 Normal Distributions. Distributions Normal Distribution A normal distribution is a continuous, bell-shaped distribution of a variable. Normal.
Statistical Measures. Measures of Central Tendency O Sometimes it is convenient to have one number that describes a set of data. This number is called.
Chapter 6 The Normal Distribution. 2 Chapter 6 The Normal Distribution Major Points Distributions and area Distributions and area The normal distribution.
Find out where you can find rand and randInt in your calculator. Write down the keystrokes.
Introduction to the Normal Distribution (Dr. Monticino)
Copyright © 2012 Pearson Education, Inc. All rights reserved Chapter 9 Statistics.
THE NATURE OF STATISTICS Copyright © Cengage Learning. All rights reserved. 14.
MATH 110 Sec 14-4 Lecture: The Normal Distribution The normal distribution describes many real-life data sets.
Holt Algebra 2 11-Ext Normal Distributions 11-Ext Normal Distributions Holt Algebra 2 Lesson Presentation Lesson Presentation.
Chapter 6 The Normal Distribution.  The Normal Distribution  The Standard Normal Distribution  Applications of Normal Distributions  Sampling Distributions.
The Abnormal Distribution
Chapter 9 – The Normal Distribution Math 22 Introductory Statistics.
Unit 6 Section : Introduction to Normal Distributions and Standard Normal Distributions  A normal distribution is a continuous, symmetric, bell.
Wamup What information can you get from the graph? Which had a more symmetrical distribution of scores?
Density Curves Frequency histogram- uses counts of items in each class Relative frequency histogram- uses percent of observations in each class Density.
AP Statistics. Definition An ogive is a graph that represents cumulative frequencies or cumulative relative frequencies of a data set. It is constructed.
SECONDARY MATH Normal Distribution. Graph the function on the graphing calculator Identify the x and y intercepts Identify the relative minimums.
Chapter 4: Measures of Central Tendency. Measures of central tendency are important descriptive measures that summarize a distribution of different categories.
CHAPTER 5: THE NORMAL DISTRIBUTION Leon-Guerrero and Frankfort-Nachmias, Essentials of Statistics for a Diverse Society.
Copyright © 2016 Brooks/Cole Cengage Learning Advanced Algebra The Normal Curve Advanced Algebra The Normal Curve Ernesto Diaz Assistant Professor of Mathematics.
Introduction to Normal Distributions
Normal Distribution and Z-scores
The Normal Distribution
Chapter 5 Normal Probability Distributions.
Chapter 12 Statistics 2012 Pearson Education, Inc.
The Normal Distribution
Elementary Statistics: Picturing The World
Given the following data
Organizing and Displaying Data
Warm-up We are going to collect some data and determine if it is “normal” Roll each pair of dice 10 times and record the SUM of the two digits in your.
Normal Probability Distributions
Chapter 3 The Normal Distribution
7-7 Statistics The Normal Curve.
Measuring location: percentiles
10-5 The normal distribution
Ms. Saint-Paul A.P. Psychology
Introduction to Normal Distributions
Normal Distribution Warm Up # 5 on iPads Write answers on index card
Chapter 5 Normal Probability Distributions.
Section 9.5 The Bell Curve.
Normal Distributions 11-Ext Lesson Presentation Holt Algebra 2.
Statistics Review MGF 1106 Fall 2011
Chapter 5 Normal Probability Distributions.
Introduction to Normal Distributions
Chapter 12 Statistics.
Presentation transcript:

Ch 11 – Probability & Statistics Percentiles and Normal Distribution

Percentiles There are 2 definitions for a percentile. A value x is in the nth percentile if x is ABOVE OR EQUAL to n% of the values. A value x is in the nth percentile if x is ABOVE n% of the values. Neither the state (CRT tests) nor the AP Statistics people can decide on which one is best to use. So, be prepared to calculate both! Use this one for homework

Look at the following data set, representing test scores. 23, 24, 26, 27, 28, 28, 29, 31, 37, 39, 40, 48, 50 Suppose you scored the 27 and wanted to know what your percentile was. Definition #1: Definition #2: The dilemma of two definitions is apparent, but as the number of data values increases, the difference diminishes.

Where is the 30th percentile? This histogram shows the frequency on the left column. Since there are 19 total items and we are looking for the 30th percentile 19 x 0.30 = 5.7 The 5.7 item occurs somewhere in the 2nd interval (19.9-29.9). This histogram shows the percentages on the left column. Here we simply need to count up the percents. We’re looking for the 30th, so there are 20% in the first interval, and another in the second, so 30% must be below (or equal to) some number within the 2nd interval (19.9- 29.9).

A frequency distribution shows how data are spread out over the range of values. Median: 28 Mean: 30.3 Standard Deviation: 19 9th Grade Scores Scores Frequency -19 – -10 1 -9 – 0 14 1 – 10 47 11 – 20 71 21 – 30 106 31 – 40 80 41 – 50 57 51 – 60 27 61 – 70 11 71 – 80 4 81 – 90 91 – 100 3 101 – 110

A bell curve is a symmetric curve that is the general shape of the graph of a normal distribution, which indicates that the frequencies are concentrated around the center portion of the distribution. Normal distribution is a data distribution that gives a bell-shaped, symmetric graph. mean 68% 99.8% 95%

The SAT is designed so that scores are normally distributed with a mean of 500 and a standard deviation of 100. What percent of SAT scores are between 400 and 600? What is the probability that an SAT score is above 600? What is the probability that an SAT score is less than 300 or greater than 700? 34% + 34% = 68% 50% - 34% = 16% 50% - 47.5% = 2.5% 2(2.5%) = 5% mean 68% 99.8% 95%