Empirical Rule MM3D3.

Slides:



Advertisements
Similar presentations
Chapter 5 Some Key Ingredients for Inferential Statistics: The Normal Curve, Probability, and Population Versus Sample.
Advertisements

Based upon the Empirical Rule, we know the approximate percentage of data that falls between certain standard deviations on a normal distribution curve.
Test Review.  Scores on the math section of the SAT are normally distributed with a mean of 650 and a standard deviation of 50. What percentage of the.
Normal distribution. An example from class HEIGHTS OF MOTHERS CLASS LIMITS(in.)FREQUENCY
Chapter 6: Standard Scores and the Normal Curve
1 Copyright © 2010, 2007, 2004 Pearson Education, Inc. All Rights Reserved. Section 7.3 Estimating a Population mean µ (σ known) Objective Find the confidence.
Statistics.
Chapter 5 The Normal Curve and Standard Scores EPS 525 Introduction to Statistics.
20, 22, 23, 24, 24, 25, 25, 27, 35 Are there any outliers? Draw a skeleton boxplot. Draw a modified boxplot.
Unit 5 Data Analysis.
1.3 Psychology Statistics AP Psychology Mr. Loomis.
Many times in statistical analysis, we do not know the TRUE mean of a population of interest. This is why we use sampling to be able to generalize the.
In 2009, the mean mathematics score was 21 with a standard deviation of 5.3 for the ACT mathematics section. ReferenceReference Draw the normal curve in.
Normal Curve with Standard Deviation |  + or - one s.d.  |
Many times in statistical analysis, we do not know the TRUE mean of a population of interest. This is why we use sampling to be able to generalize the.
Warm-Up If the variance of a set of data is 12.4, what is the standard deviation? If the standard deviation of a set of data is 5.7, what is the variance?
Density Curves Can be created by smoothing histograms ALWAYS on or above the horizontal axis Has an area of exactly one underneath it Describes the proportion.
Math II UNIT QUESTION: Can real world data be modeled by algebraic functions? Standard: MM2D1, D2 Today’s Question: How is a normal distribution used to.
The Normal Curve Packet #23. Normal Curve  Referred to as a bell- shaped curve  Perfect mesokurtic distribution.
SP 225 Lecture 9 The Normal Curve.  ‘Bell’ Shaped  Unimodal in center  Tails extend to infinity in either direction.
Normal Curves and Sampling Distributions Chapter 7.
AP Statistics Chapter 2 Notes. Measures of Relative Standing Percentiles The percent of data that lies at or below a particular value. e.g. standardized.
MM2D1d:. Outlier—data that appears to deviate markedly from other members of the sample in which it occurs. For our purposes, any data that falls beyond.
The Normal Distribution. The Area under the curve The area under the curve represents everything: 100%.
3 common measures of dispersion or variability Range Range Variance Variance Standard Deviation Standard Deviation.
Standard Deviation and the Normally Distributed Data Set
The Normal Curve & Z Scores. Example: Comparing 2 Distributions Using SPSS Output Number of siblings of students taking Soc 3155 with RW: 1. What is the.
APPLICATIONS OF THE NORMAL DISTRIBUTION
The Normal Distribution Lecture 20 Section Fri, Oct 7, 2005.
+ Chapter 2: Modeling Distributions of Data Section 2.2 Normal Distributions The Practice of Statistics, 4 th edition - For AP* STARNES, YATES, MOORE.
Practice Page 128 –#6.7 –#6.8 Practice Page 128 –#6.7 =.0668 = test scores are normally distributed –#6.8 a =.0832 b =.2912 c =.4778.
Thinking Mathematically Statistics: 12.4 The Normal Distribution.
Normal Distributions MM2D1d Compare the means and standard deviations of random samples with the corresponding population parameters, including those population.
Wamup What information can you get from the graph? Which had a more symmetrical distribution of scores?
 A standardized value  A number of standard deviations a given value, x, is above or below the mean  z = (score (x) – mean)/s (standard deviation)
MATH Section 4.2. The Normal Distribution A density curve that is symmetric, single peaked and bell shaped is called a normal distribution. The.
Z-scores, normal distribution, and more.  The bell curve is a symmetric curve, with the center of the graph being the high point, and the two sides on.
The Normal Distribution Lecture 20 Section Mon, Oct 9, 2006.
15.5 The Normal Distribution. A frequency polygon can be replaced by a smooth curve A data set that is normally distributed is called a normal curve.
Unit II: Research Method: Statistics
Normal Distribution.
Normal Distributions and the Empirical Rule
Using the Empirical Rule
Standard and non-standard
Theoretical Normal Curve
Quantitative Methods PSY302 Quiz Normal Curve Review February 7, 2018
Density Curve A mathematical model for data, providing a way to describe an entire distribution with a single mathematical expression. An idealized description.
The Standard Normal Distribution
ANATOMY OF THE EMPIRICAL RULE
Given the following data
the Normal Distribution
Sections 5-1 and 5-2 Quiz Review Warm-Up
Year-3 The standard deviation plus or minus 3 for 99.2% for year three will cover a standard deviation from to To calculate the normal.
Normal Distributions, Empirical Rule and Standard Normal Distribution
PRACTICE A normal distribution of scores has a standard deviation of 10. Find the z-scores corresponding to each of the following values: a) A score of.
The Normal Distribution
2.1 Density Curves and the Normal Distributions
EQ: How do we approximate a distribution of data?
Quantitative Methods PSY302 Quiz Normal Curve Review February 6, 2017
Section 2.1 Density Curves & the Normal Distributions
Use the graph of the given normal distribution to identify μ and σ.
Section 2.1 Density Curves & the Normal Distributions
The Standard Deviation as a Ruler and the Normal Model
Practice #7.7 #7.8 #7.9. Practice #7.7 #7.8 #7.9.
Section 13.6 The Normal Curve
Normal Distributions and Z-Scores
Density Curves and the Normal Distributions
M3M8D6 Have out: Bellwork: assignment, graphing calculator,
Normal Distributions and the Empirical Rule
Algebra 2 Normal Curve Analysis Practice
Presentation transcript:

Empirical Rule MM3D3

Normal Distributions Normal distributions are based on two parameters Mean If you have population data use 𝜇 If you have sample data use 𝑥 Standard Deviation If you have population data use 𝜎 If you have sample data use s When a distribution is normal we use shorthand to show the mean and standard deviation Sample: N 𝑥 , 𝑠 Population: N 𝜇, 𝜎

Normal Curves Use the parameters to find the inflection points on the curve. Where the curve changes concavity

Normal Curves The mean is in the exact middle Add and subtract the standard deviation to find the inflection points 𝑥 −3𝑠 𝑥 −2𝑠 𝑥 −𝑠 𝑥 𝑥 +𝑠 𝑥 +2𝑠 𝑥 +3𝑠

Normal Curves IQ scores are normally distributed with a mean of 110 and standard deviation 25. 𝑥 −3𝑠 𝑥 −2𝑠 𝑥 −𝑠 𝑥 𝑥 +𝑠 𝑥 +2𝑠 𝑥 +3𝑠 35 60 85 110 135 160 185

Empirical Rule 68% of the data is within one standard deviation of the mean 95% of the data is within two standard deviations of the mean 99.7% of the data is within three standard deviations of the mean 99.7% 95% 68% 𝑥 −3𝑠 𝑥 −2𝑠 𝑥 −𝑠 𝑥 𝑥 +𝑠 𝑥 +2𝑠 𝑥 +3𝑠

Applying the Empirical Rule Often the empirical rule is used to determine the percent of data that falls above or below a point of inflection. For example what percent of people score lower than 110 on the IQ test It is helpful to know the percent of the curve that is represented by each section of the distribution.

The middle 68 % ? ? 34% 34%

The middle 95 % 34% 34% 13.5% ? ? 13.5%

The middle 99.7 % 34% 34% 13.5% 13.5% ? 2.35% 2.35% ?

The Tails 34% 34% 13.5% 13.5% 0.15% ? ? 0.15% 2.35% 2.35%

IQ Scores What is the 68% range? 85-135 N (110, 25) 35 60 85 110 135 160 185 What is the 68% range? 85-135

IQ Scores What is the 95% range? 60-160 N (110, 25) 35 60 85 110 135 185 What is the 95% range? 60-160

IQ Scores What is the 99.7% range? 35-185 N (110, 25) 35 60 85 110 135 160 185 What is the 99.7% range? 35-185

IQ Scores What percent falls between 85 and 160? 81.5 N (110, 25) 35 135 160 185 What percent falls between 85 and 160? 81.5

IQ Scores What percent falls between 35 and 135? 83.85 N (110, 25) 35 60 85 110 135 160 185 What percent falls between 35 and 135? 83.85

IQ Scores What percent falls below 85? 16 N (110, 25) 35 60 85 110 135 160 185 What percent falls below 85? 16

IQ Scores What percent falls below 185? 99.85 N (110, 25) 35 60 85 110 135 160 185 What percent falls below 185? 99.85

IQ Scores What percent is above 185? 0.15 N (110, 25) 35 60 85 110 135 160 185 What percent is above 185? 0.15

IQ Scores What percent is above 60? 97.5 N (110, 25) 35 60 85 110 135 160 185 What percent is above 60? 97.5