What is the probability of picking an ace? Probability =

Slides:



Advertisements
Similar presentations
Simple Probability and Odds
Advertisements

The Normal Curve. Introduction The normal curve Will need to understand it to understand inferential statistics It is a theoretical model Most actual.
Chapter 6 – Normal Probability Distributions
The Normal Curve and Z-scores Using the Normal Curve to Find Probabilities.
Chapter 6: Standard Scores and the Normal Curve
Working with Random Variables. What is a Random Variable? A random variable is a variable that has a numerical value which arises by chance (ie – from.
Sum of Scores of 2 Dice How would you represent the.
Cal State Northridge 320 Andrew Ainsworth PhD
PROBABILITY Probability is represented as a ratio of the number of ways an event actually occurs compared to the number of possible outcomes.
16.4 Probability Problems Solved with Combinations.
1 Probably About Probability p
Biostatistics Unit 4 Probability.
Biostatistics Unit 4 - Probability.
The Normal Distribution
Probability & Using Frequency Distributions Chapters 1 & 6 Homework: Ch 1: 9-12 Ch 6: 1, 2, 3, 8, 9, 14.
PPA 415 – Research Methods in Public Administration Lecture 5 – Normal Curve, Sampling, and Estimation.
Chapter 4 The Normal Distribution EPS 625 Statistical Methods Applied to Education I.
Chapter 5 The Normal Curve and Standard Scores EPS 525 Introduction to Statistics.
© 2011 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part, except for use as permitted in a license.
Probability Quantitative Methods in HPELS HPELS 6210.
Z Scores and The Standard Normal Curve
The Normal Distribution The “Bell Curve” The “Normal Curve”
Chapter 6 Probability PowerPoint Lecture Slides Essentials of Statistics for the Behavioral Sciences Eighth Edition by Frederick J. Gravetter and Larry.
Chapter 6 Probability. Introduction We usually start a study asking questions about the population. But we conduct the research using a sample. The role.
Chapter Six Normal Curves and Sampling Probability Distributions.
Chapter 3 Section 3.2 Basic Terms of Probability.
Chapter 5 The Normal Curve. Histogram of Unemployment rates, States database.
Chapter 5 The Normal Curve. In This Presentation  This presentation will introduce The Normal Curve Z scores The use of the Normal Curve table (Appendix.
Copyright © 2012 by Nelson Education Limited. Chapter 4 The Normal Curve 4-1.
Normal Distribution. Intuition The sum of two dice The sum of two dice = 7 The total number of possibilities is : 6x6=36.
© 2008 McGraw-Hill Higher Education The Statistical Imagination Chapter 6. Probability Theory and the Normal Probability Distribution.
Chapter 5 Probability and the Normal Curve. Introduction to Part II In Part I, we learned to categorize data to see basic patterns and trends. Measures.
Normal Distribution Section 2.2. Objectives  Introduce the Normal Distribution  Properties of the Standard Normal Distribution  Use Normal Distribution.
Normal Curves and Sampling Distributions Chapter 7.
Normal Distributions.  Symmetric Distribution ◦ Any normal distribution is symmetric Negatively Skewed (Left-skewed) distribution When a majority of.
Review Ways to “see” data –Simple frequency distribution –Group frequency distribution –Histogram –Stem-and-Leaf Display –Describing distributions –Box-Plot.
Introduction to Behavioral Statistics Probability, The Binomial Distribution and the Normal Curve.
Probability.  Provides a basis for thinking about the probability of possible outcomes  & can be used to determine how confident we can be in an effect.
Chapter 6 USING PROBABILITY TO MAKE DECISIONS ABOUT DATA.
The Normal Curve Theoretical Symmetrical Known Areas For Each Standard Deviation or Z-score FOR EACH SIDE:  34.13% of scores in distribution are b/t the.
1 Probably About Probability p
AP Review #3: Continuous Probability (The Normal Distribution)
TOSS a Coin Toss a coin 50 times and record your results in a tally chart ht.
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.
POSC 202A: Lecture 4 Probability. We begin with the basics of probability and then move on to expected value. Understanding probability is important because.
Statistics What is statistics? Where are statistics used?
Jeopardy Opening Sound: First Round Category 1 Intro Surveys Techniques Surveys Techniques.
Jeopardy Opening Sound: First Round Category 1 Intro Surveys Techniques Surveys Techniques.
Normal Distribution Practice with z-scores. Probabilities are depicted by areas under the curve Total area under the curve is 1 Only have a probability.
7.4 Use Normal Distributions p Normal Distribution A bell-shaped curve is called a normal curve. It is symmetric about the mean. The percentage.
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.
Probability Bingo October 3, D Mathematics.
Honors Advanced Algebra Presentation 1-6. Vocabulary.
1 Chapter 4, Part 1 Basic ideas of Probability Relative Frequency, Classical Probability Compound Events, The Addition Rule Disjoint Events.
Single Pick Probability AND vs. OR Sequential Probability With Replacement Conditional Disjoint vs. Non Disjoint Unit 4 – Probability – Part 1.
Unit 4 Section 3.1.
Practice Page # 21 Practice X = Stanford-Binet Y = WAIS b =.80 (15 / 16) =.75 a = 100 – (.75)100 = 25 Y = 25 + (.75)X = 25 + (.75)65 It’s.
Check it out! : Standard Normal Calculations.
Copyright ©2011 Brooks/Cole, Cengage Learning Continuous Random Variables Class 36 1.
Bring a penny to class tomorrow
Chapter 5 The Normal Curve.
The Statistical Imagination
Theoretical Normal Curve
Practice A research was interested in the relation between stress and humor. Below are data from 8 subjects who completed tests of these two traits.
The normal distribution
Practice #7.7 #7.8 #7.9. Practice #7.7 #7.8 #7.9.
Chapter 6: Probability.
Theoretical Probability
Figure 8.1 A pair of dice. Figure 8.1. Figure 8.1 A pair of dice. Figure 8.1.
Chapter Outline The Normal Curve Sample and Population Probability
Presentation transcript:

What is the probability of picking an ace?

Probability =

What is the probability of picking an ace? 4 / 52 =.077 or 7.7 chances in 100

Every card has the same probability of being picked

What is the probability of getting a 10, J, Q, or K?

(.077) + (.077) + (.077) + (.077) = / 52 =.308

What is the probability of getting a 2 and then after replacing the card getting a 3 ?

(.077) * (.077) =.0059

What is the probability that the two cards you draw will be a black jack?

10 Card = (.077) + (.077) + (.077) + (.077) =.308 Ace after one card is removed = 4/51 =.078 (.308)*(.078) =.024

Practice What is the probability of rolling a “1” using a six sided dice? What is the probability of rolling either a “1” or a “2” with a six sided dice? What is the probability of rolling two “1’s” using two six sided dice?

Practice What is the probability of rolling a “1” using a six sided dice? 1 / 6 =.166 What is the probability of rolling either a “1” or a “2” with a six sided dice? What is the probability of rolling two “1’s” using two six sided dice?

Practice What is the probability of rolling a “1” using a six sided dice? 1 / 6 =.166 What is the probability of rolling either a “1” or a “2” with a six sided dice? (.166) + (.166) =.332 What is the probability of rolling two “1’s” using two six sided dice?

Practice What is the probability of rolling a “1” using a six sided dice? 1 / 6 =.166 What is the probability of rolling either a “1” or a “2” with a six sided dice? (.166) + (.166) =.332 What is the probability of rolling two “1’s” using two six sided dice? (.166)(.166) =.028

Next step Is it possible to apply probabilities to a normal distribution?

Theoretical Normal Curve -3  -2  -1   1  2  3 

Theoretical Normal Curve -3  -2  -1   1  2  3  Z-scores

We can use the theoretical normal distribution to determine the probability of an event. For example, do you know the probability of getting a Z score of 0 or less? -3  -2  -1   1  2  3  Z-scores

We can use the theoretical normal distribution to determine the probability of an event. For example, you know the probability of getting a Z score of 0 or less. -3  -2  -1   1  2  3  Z-scores

With the theoretical normal distribution we know the probabilities associated with every z score! The probability of getting a score between a 0 and a 1 is -3  -2  -1   1  2  3  Z-scores

What is the probability of getting a score of 1 or higher? -3  -2  -1   1  2  3  Z-scores

These values are given in Table C on page  -2  -1   1  2  3  Z-scores

To use this table look for the Z score in column A Column B is the area between that score and the mean -3  -2  -1   1  2  3  Z-scores Column B

To use this table look for the Z score in column A Column C is the area beyond the Z score -3  -2  -1   1  2  3  Z-scores Column C

The curve is symmetrical -- so the answer for a positive Z score is the same for a negative Z score -3  -2  -1   1  2  3  Z-scores Column C Column B

Practice What proportion of the normal distribution is found in the following areas (hint: draw out the answer)? Between mean and z =.56? Beyond z = 2.25? Between the mean and z = -1.45

Practice What proportion of the normal distribution is found in the following areas (hint: draw out the answer)? Between mean and z =.56?.2123 Beyond z = 2.25? Between the mean and z = -1.45

Practice What proportion of the normal distribution is found in the following areas (hint: draw out the answer)? Between mean and z =.56?.2123 Beyond z = 2.25?.0122 Between the mean and z = -1.45

Practice What proportion of the normal distribution is found in the following areas (hint: draw out the answer)? Between mean and z =.56?.2123 Beyond z = 2.25?.0122 Between the mean and z =

Practice What proportion of this class would have received an A on the last test if I gave A’s to anyone with a z score of 1.25 or higher?.1056

Note This is using a hypothetical distribution Due to chance, empirical distributions are not always identical to theoretical distributions If you sampled an infinite number of times they would be equal! The theoretical curve represents the “best estimate” of how the events would actually occurThe theoretical curve represents the “best estimate” of how the events would actually occur

Theoretical Distribution

Empirical Distribution based on 52 draws

Theoretical Normal Curve 

Empirical Distribution

PROGRAM cunx.html

Theoretical Normal Curve  Normality frequently occurs in many situations of psychology, and other sciences