Section 9.5 The Bell Curve.

Slides:



Advertisements
Similar presentations
Chapter 2: The Normal Distributions
Advertisements

THE NORMAL DISTRIBUTION Lesson 1. Objectives To introduce the normal distribution The standard normal distribution Finding probabilities under the curve.
Section 5.1 Introduction to Normal Distributions and the Standard Normal Distribution.
Chapter 9: The Normal Distribution
The Normal Curve Z Scores, T Scores, and Skewness.
Raw Scores. Un-Grouped Frequency Distribution Grouped Frequency Distribution.
Chapter 3 The Normal Curve Where have we been? To calculate SS, the variance, and the standard deviation: find the deviations from , square and sum.
Chapter 3 The Normal Curve Where have we been? To calculate SS, the variance, and the standard deviation: find the deviations from , square and sum.
Normal Distributions What is a Normal Distribution? Why are Many Variables Normally Distributed? Why are Many Variables Normally Distributed? How Are Normal.
Ch 11 – Probability & Statistics
Discrete and Continuous Random Variables Continuous random variable: A variable whose values are not restricted – The Normal Distribution Discrete.
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.
Basic Statistics Standard Scores and the Normal Distribution.
S2A Chapter 7 More about Statistical Graphs Chung Tai Educational Press. All rights reserved. © Terminologies about Classes Lower class.
The Normal Distribution The “Bell Curve” The “Normal Curve”
Z Scores. Normal vs. Standard Normal Standard Normal Curve: Most normal curves are not standard normal curves They may be translated along the x axis.
Aim: what is the normal distribution? Do Now: Two sets of data given Find the mean.
EQ: How do you find the areas of triangles? Lesson 14-2 Area of Triangles pp
7.3 and 7.4 Extra Practice Quiz: TOMORROW THIS REVIEW IS ON MY TEACHER WEB PAGE!!!
Research Methods: 2 M.Sc. Physiotherapy/Podiatry/Pain Frequency/Probability Polygons, and the Normal Distribution.
Frequency Distributions
CONTINUOUS RANDOM VARIABLES
Modeling Distributions of Data Describing location in a distribution Chapter 2.1.
Chapter 9 – The Normal Distribution Math 22 Introductory Statistics.
2.5 Normal Distributions and z-scores. Comparing marks Stephanie and Tavia are both in the running for the Data Management award. Stephanie has 94% and.
Wamup What information can you get from the graph? Which had a more symmetrical distribution of scores?
Normal Distribution S-ID.4 Use the mean and standard deviation of a data set to fit it to a normal distribution and to estimate population percentages.
SWBAT: -Interpret the t-distribution and use a t- distribution table -Construct a confidence interval when n
Discrete Math Section 17.4 Recognize various types of distributions. Apply normal distribution properties. A normal distribution is a bell shaped curve.
 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 5 Normal Probability Distributions.
Chapter 2: Modeling Distributions of Data
Inverse Trigonometric Functions
Section 6.4 Graphs of Polar Equations
Quantitative Methods PSY302 Quiz Normal Curve Review February 3, 2017
Using the Empirical Rule
Chapter 12 Statistics 2012 Pearson Education, Inc.
5.4 Graphs of Polar Equations
Elementary Statistics: Picturing The World
Standard Normal Calculations
Organizing and Displaying Data
The normal distribution
Aim: what is the normal distribution?
Normal Probability Distributions
Evaluation and Assessment of the Individual: Week 2 Discussion
EQ: How do we approximate a distribution of data?
Measuring location: percentiles
Chapter 6: Normal Distributions
Normal Probability Distributions
Bellwork Thursday, April 19th
Use the graph of the given normal distribution to identify μ and σ.
4/29/13 Have out: Bellwork: assignment, graphing calculator,
10-5 The normal distribution
Homework: pg. 136 #25, ) A. 2.5% B. Between 64 and 74 inches
Transformations of Data
Ronald Hui Tak Sun Secondary School
Section 13.6 The Normal Curve
Introduction to Normal Distributions
Describing Location in a Distribution
Theorems About Variability
Chapter 5 Normal Probability Distributions.
Graphing: Sine and Cosine
M3M8D6 Have out: Bellwork: assignment, graphing calculator,
Chapter 5 Normal Probability Distributions.
Algebra 2 Normal Curve Analysis Practice
Warm Up /1 Which of the following statements is true given the dot plot? The distribution is skewed left, so the mean is greater than the median.
Introduction to Normal Distributions
Descriptive statistics for groups:
Z Scores and Percentiles
Chapter 12 Statistics.
Presentation transcript:

Section 9.5 The Bell Curve

Objectives: 1. To use normal curve tables. 2. To find the percentile rank for a score.

It is given by the function The bell-shaped curve is a mound-shaped frequency distribution called the normal distribution. It is given by the function z2 2 1 e 2 y = -

x-3s x-2s x-1s x x+1s x+2s x+3s -3 -2 -1 0 1 2 3 z-score

EXAMPLE 1 Find the percentage of values in the interval 0  z  1.63. 44.84%

Practice: Find the percentage of values in the interval 0  z  1.82. 46.56%

EXAMPLE 2 Find the percentage of values lying within 0 EXAMPLE 2 Find the percentage of values lying within 0.6 standard deviations of the mean. Given the symmetry of the curve you need to find the percent of values in the interval 0  z  0.6 and double it to find -0.6 ≤ z ≤ 0.6.

EXAMPLE 2 Find the percentage of values lying within 0 EXAMPLE 2 Find the percentage of values lying within 0.6 standard deviations of the mean. 0.2257 2(0.2257) = 0.4514 = 45.14%

Practice: Find the percentage of values lying within 1 Practice: Find the percentage of values lying within 1.2 standard deviations of the mean. Given the symmetry of the curve you need to find the percent of values in the interval 0  z  1.2 and double it to find -1.2 ≤ z ≤ 1.2.

Practice: Find the percentage of values lying within 1 Practice: Find the percentage of values lying within 1.2 standard deviations of the mean. 0.3849 2(0.3849) = 0.7698 = 76.98%

EXAMPLE 3 Find the percentage of values such that z  0.98. 0.3365 0.5 - 0.3365 = 0.1635 = 16.35%

Practice: Find the percentage of values such that z  0.8. 0.2881 0.5 - 0.2881 = 0.2119 = 21.19%

Definition Percentile Rank The percentage of values less than or equal to a given value.

EXAMPLE 4 Find the percentile rank of a student whose quiz score is 29 in a class with a mean of 27 and a standard deviation of 4. x s z - = 4 27 29 - = 5 . =

EXAMPLE 4 Find the percentile rank of a student whose quiz score is 29 in a class with a mean of 27 and a standard deviation of 4. 0.5 + 0.1915 = 0.6915 = 69.15% = 69th percentile

Practice: Find the percentile rank of a student whose quiz score is 24 in a class with a mean of 27 and a standard deviation of 4.

EXAMPLE 5 Find the interval of z-scores around the mean that contains 44% of the scores. 0.2190  0.22  0.2224 0.22 is closer to 0.2190 z = 0.58 [-0.58, 0.58]

Practice: Find the interval of z-scores around the mean that contains 52% of the scores. 0.2580  0.26  0.2611 0.26 is closer to 0.2611 z = 0.71 [-0.71, 0.71]

Homework pp. 472-473

►A. Exercises Find the percentage of values in each interval. 1. 0 ≤ z ≤ 1.7

►A. Exercises Find the percentage of values in each interval. 3. -1.21 ≤ z ≤ 0

►A. Exercises Find the percentage of values in each interval. 5. -0.74 ≤ z ≤ 0.74

►A. Exercises Find the percentage of values in each interval. 7. z ≥ 1.06

►A. Exercises Find the percentage of values in each interval. 9. z ≤ -1.56

►A. Exercises Find the percentage of values in each interval. 13. z ≤ 2.0

►B. Exercises Find the interval of z-scores around the mean that contain the following percentage of values. 17. 39%

►B. Exercises Find the percentage of values in each interval. 21. -1.4 ≤ z ≤ 2.3

►B. Exercises Find the percentile rank of each student. 25. Mary’s z-score is -0.26.

►B. Exercises Find the percentile rank of each student. 27. Mark’s score was 14 in a class with a mean of 31 and a standard deviation of 9.

►C. Exercises 29. Bryan had a percentile rank of 91 on a test having a mean of 77 and a standard deviation of 8. What was his score on the original test?

■ Cumulative Review Given a triangle with sides of 17, 29, and 40, find 32. its area.

■ Cumulative Review Given a triangle with sides of 17, 29, and 40, find 33. the measures of its angles to the nearest degree.

■ Cumulative Review Graph the following in polar coordinates. 34. r = cos 

■ Cumulative Review Graph the following in polar coordinates. 35. r = sin 2

■ Cumulative Review Graph the following in polar coordinates. 36. r = 2 – 2 cos 