51 ttl What are the chances that a person picked at random will have a score of 9 or above?

Slides:



Advertisements
Similar presentations
Statistical Reasoning for everyday life
Advertisements

2-5 : Normal Distribution
The standard error of the sample mean and confidence intervals
The standard error of the sample mean and confidence intervals
Descriptive Statistics Statistical Notation Measures of Central Tendency Measures of Variability Estimating Population Values.
The standard error of the sample mean and confidence intervals How far is the average sample mean from the population mean? In what interval around mu.
Standard Deviation A measure of variability
Measuring Variability for Symmetrical Distributions.
Chapter 11: Random Sampling and Sampling Distributions
Measures of Dispersion Week 3. What is dispersion? Dispersion is how the data is spread out, or dispersed from the mean. The smaller the dispersion values,
1.3 Psychology Statistics AP Psychology Mr. Loomis.
Using the Empirical Rule. Normal Distributions These are special density curves. They have the same overall shape  Symmetric  Single-Peaked  Bell-Shaped.
Standard Deviation!. Let’s say we randomly select 9 men and 9 women and ask their GPAs and get these data: MENWOMEN
Chapter 3 Descriptive Measures
Statistics 1 Measures of central tendency and measures of spread.
Statistics: For what, for who? Basics: Mean, Median, Mode.
A P STATISTICS LESSON 2 – 2 STANDARD NORMAL CALCULATIONS.
Chapter 3 Basic Statistics Section 2.2: Measures of Variability.
Chapter 6 The Normal Curve. A Density Curve is a curve that: *is always on or above the horizontal axis *has an area of exactly 1 underneath it *describes.
Density Curves and the Normal Distribution.
Developed at Utah State University Dept of Engr & Tech Educ — Materials and Processes 5.6 calculate the mean and standard deviation of.
Normal Curves and Sampling Distributions Chapter 7.
Chi Square Analysis  Use to see if the observed value varies from the expected value.  Null Hypothesis – There is no difference between the observed.
Chapter 3 Numerically Summarizing Data 3.2 Measures of Dispersion.
Using the Empirical Rule. Normal Distributions These are special density curves. They have the same overall shape  Symmetric  Single-Peaked  Bell-Shaped.
Dr. Serhat Eren 1 CHAPTER 6 NUMERICAL DESCRIPTORS OF DATA.
Basic Statistical Terms: Statistics: refers to the sample A means by which a set of data may be described and interpreted in a meaningful way. A method.
Measures of Dispersion. Introduction Measures of central tendency are incomplete and need to be paired with measures of dispersion Measures of dispersion.
The Practice of Statistics, 5th Edition Starnes, Tabor, Yates, Moore Bedford Freeman Worth Publishers CHAPTER 2 Modeling Distributions of Data 2.2 Density.
3 common measures of dispersion or variability Range Range Variance Variance Standard Deviation Standard Deviation.
Standard Deviation and the Normally Distributed Data Set
§ 5.3 Normal Distributions: Finding Values. Probability and Normal Distributions If a random variable, x, is normally distributed, you can find the probability.
Statistics Chapter 6 / 7 Review. Random Variables and Their Probability Distributions Discrete random variables – can take on only a countable or finite.
Modeling Distributions
Chapter 3 The Normal Distributions. Chapter outline 1. Density curves 2. Normal distributions 3. The rule 4. The standard normal distribution.
The Normal Distribution Lecture 20 Section Fri, Oct 7, 2005.
Section 2.4: Measures of Spread. Example: Using the number of days of vacation for 6 students, find the range, variance and standard deviation. (this.
Statistics Unit 9 only requires us to do Sections 1 & 2. * If we have time, there are some topics in Sections 3 & 4, that I will also cover. They tie in.
WELCOME TO MATH 3 Please begin reading the syllabus on your desk!
 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)
Characteristics of Normal Distribution symmetric with respect to the mean mean = median = mode 100% of the data fits under the curve.
MM150 ~ Unit 9 Statistics ~ Part II. WHAT YOU WILL LEARN Mode, median, mean, and midrange Percentiles and quartiles Range and standard deviation z-scores.
Copyright © 2009 Pearson Education, Inc. 5.2 Properties of the Normal Distribution LEARNING GOAL Know how to interpret the normal distribution in terms.
The normal distribution
Normal Distributions and the Empirical Rule
CHAPTER 2 Modeling Distributions of Data
Chapter 6 The Normal Curve.
Statistics 11/29 Objective: Students will be able to find standard deviation and variance. Standards: 1.02 Summarize and analyze univariate data to solve.
Statistics 4/26 Objective: Students will be able to find measures of statistical dispersion. Standards: 1.02 Summarize and analyze univariate data to solve.
Standard Deviation.
Using the Empirical Rule
Standard Deviation, Variance, Z-Score
ANATOMY OF THE EMPIRICAL RULE
Statistics and Science
Algebra 1/4/17
Descriptive Statistics: Describing Data
Teacher Introductory Statistics Lesson 2.4 D
5.2 Properties of the Normal Distribution
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.
The Normal Distribution
2.1 Density Curves and the Normal Distributions
Describing Quantitative Data with Numbers
What does the following mean?
How to describe a graph Otherwise called CUSS
Statistics.
Mean & Standard Deviation
Statistics 2 Lesson 2.7 Standard Deviation 2.
An Example of {AND, OR, Given that} Using a Normal Distribution
The Mean Variance Standard Deviation and Z-Scores
Presentation transcript:

51 ttl

What are the chances that a person picked at random will have a score of 9 or above?

What are the chances that a person picked at random will have a score above 9? 3/51 or 6%

What are the chances that a person picked at random will have a score between 4 & 7?

31/51 or 61%

Random Number Table

Total = 51 a 2-digit number – therefore we break the random numbers into groups of two digits

Measure of spread A formal way to describe how spread out data is, is by calculating the average distance from the individual measurements to the overall mean. The more spread out the data is, the larger the average distance the data is to the mean. We call that average difference the Standard Deviation.

Empirical Rule In statistics, the empirical rule states that nearly all values lie within 3 standard deviations of the mean in a normal distribution. – About 68% of the values lie within 1 standard deviation of the mean. – About 95% of the values lie within 2 standard deviations of the mean. – Nearly all (99.7%) of the values lie within 3 standard deviations of the mean.

Mean and Standard Deviation Arithmetic mean = average = sum/number of observations Standard Deviation = average distance from the mean = a measure of how spread out the data is.

Standard Deviation The symbol for Standard Deviation is σ (the Greek letter sigma). This is the formula for Standard Deviation:

It is easy ParticipantScoreMeanScore – Mean (difference) (Mean – Score) Sqd (-1.8)(-1.8) = ttl /10 (56) = SD 2.36