AP Stats Chapter 7 Review Nick Friedl, Patrick Donovan, Jay Dirienzo.

Slides:



Advertisements
Similar presentations
AP Statistics Chapter 7 – Random Variables. Random Variables Random Variable – A variable whose value is a numerical outcome of a random phenomenon. Discrete.
Advertisements

AP Statistics Chapter 7 Notes. Random Variables Random Variable –A variable whose value is a numerical outcome of a random phenomenon. Discrete Random.
A.P. STATISTICS LESSON 7 – 1 ( DAY 1 ) DISCRETE AND CONTINUOUS RANDOM VARIABLES.
Random Variables A random variable is a variable (usually we use x), that has a single numerical value, determined by chance, for each outcome of a procedure.
Random Variables Probability Continued Chapter 7.
Continuous Random Variables and Probability Distributions
 The Law of Large Numbers – Read the preface to Chapter 7 on page 388 and be prepared to summarize the Law of Large Numbers.
Standard error of estimate & Confidence interval.
© 2010 Pearson Education Inc.Goldstein/Schneider/Lay/Asmar, CALCULUS AND ITS APPLICATIONS, 12e – Slide 1 of 15 Chapter 12 Probability and Calculus.
Chapter 6: Random Variables
Week71 Discrete Random Variables A random variable (r.v.) assigns a numerical value to the outcomes in the sample space of a random phenomenon. A discrete.
Chapter 7: Random Variables
L7.1b Continuous Random Variables CONTINUOUS RANDOM VARIABLES NORMAL DISTRIBUTIONS AD PROBABILITY DISTRIBUTIONS.
+ The Practice of Statistics, 4 th edition – For AP* STARNES, YATES, MOORE Chapter 6: Random Variables Section 6.1 Discrete and Continuous Random Variables.
AP Stats Chapter 1 Review. Q1: The midpoint of the data MeanMedianMode.
Chapter 6 Random Variables
5.3 Random Variables  Random Variable  Discrete Random Variables  Continuous Random Variables  Normal Distributions as Probability Distributions 1.
+ The Practice of Statistics, 4 th edition – For AP* STARNES, YATES, MOORE Chapter 6: Random Variables Section 6.1 Discrete and Continuous Random Variables.
Mean and Standard Deviation of Discrete Random Variables.
Math b (Discrete) Random Variables, Binomial Distribution.
Barnett/Ziegler/Byleen Finite Mathematics 11e1 Chapter 11 Review Important Terms, Symbols, Concepts Sect Graphing Data Bar graphs, broken-line graphs,
The Practice of Statistics, 5th Edition Starnes, Tabor, Yates, Moore Bedford Freeman Worth Publishers CHAPTER 6 Random Variables 6.1 Discrete and Continuous.
Random Variables Ch. 6. Flip a fair coin 4 times. List all the possible outcomes. Let X be the number of heads. A probability model describes the possible.
+ The Practice of Statistics, 4 th edition – For AP* STARNES, YATES, MOORE Chapter 6: Random Variables Section 6.1 Discrete and Continuous Random Variables.
Lesson Discrete Random Variables. Objectives Distinguish between discrete and continuous random variables Identify discrete probability distributions.
AP STATISTICS Section 7.1 Random Variables. Objective: To be able to recognize discrete and continuous random variables and calculate probabilities using.
Q1: Standard Deviation is a measure of what? CenterSpreadShape.
Chap 7.1 Discrete and Continuous Random Variables.
Introduction A probability distribution is obtained when probability values are assigned to all possible numerical values of a random variable. It may.
Unit 4 Review. Starter Write the characteristics of the binomial setting. What is the difference between the binomial setting and the geometric setting?
AP Stats: Warm-up Complete the 6.3 “quiz” with the person sitting next to you as your warm-up. We will be starting our intro to Chapter 7 today: Discrete.
Random Variables By: 1.
Discrete and Continuous Random Variables Section 7.1.
Chapter 6 – Continuous Probability Distribution Introduction A probability distribution is obtained when probability values are assigned to all possible.
CHAPTER 6 Random Variables
CHAPTER 6 Random Variables
CHAPTER 6 Random Variables
Math a Discrete Random Variables
Discrete and Continuous Random Variables
Random Variables and Probability Distribution (2)
Chapter 6: Random Variables
Discrete and Continuous Random Variables
AP Statistics: Chapter 7
Probability: The Mathematics of Chance
Suppose you roll two dice, and let X be sum of the dice. Then X is
Chapter 6: Random Variables
Probability Review for Financial Engineers
Chapter 6: Random Variables
CHAPTER 6 Random Variables
CHAPTER 6 Random Variables
Chapter 6 Some Continuous Probability Distributions.
Chapter 6: Random Variables
Chapter 6: Random Variables
12/6/ Discrete and Continuous Random Variables.
Chapter 6: Random Variables
CHAPTER 6 Random Variables
CHAPTER 6 Random Variables
Chapter 6: Random Variables
CHAPTER 6 Random Variables
Chapter 7: Random Variables
AP Statistics Chapter 16 Notes.
Chapter 6: Random Variables
Chapter 6: Random Variables
CHAPTER 6 Random Variables
Chapter 6: Random Variables
Chapter 6: Random Variables
Chapter 6: Random Variables
Chapter 6: Random Variables
Chapter 6: Random Variables
Chapter 6: Random Variables
Presentation transcript:

AP Stats Chapter 7 Review Nick Friedl, Patrick Donovan, Jay Dirienzo

Q1: A variable whose value is a numerical outcome of a random phenomenon. Expected ValueNormal DistributionRandom Variable

Go to Q2 Expected Value is incorrect The correct answer was Random Variable

Go to Q2 Random Variable is correct!

Go to Q2 Normal Distribution is incorrect The correct answer is Random Variable

Q2: This graph is an example of: Density CurveProbability HistogramUniform Distribution

Go to Q3 Uniform Distribution is incorrect The correct answer is Probability Histogram

Go to Q3 Probability Histogram is correct!

Go to Q3 Density Curve is incorrect The correct answer is Probability Histogram

Q3: _____ tells us what the possible values of X are and how probabilities are assigned to those values. Variance Discrete Random Variable Probability Distribution

Go to Q4 Probability Distribution is correct!

Go to Q4 That is incorrect The correct answer is Probability Distribution

Q4: The average of the squares of the standard deviations of the observations from their mean is CriticalVarianceQuantitative

Go to Q5 Critical is incorrect The correct answer is Variance

Go to Q5 Quantitative is incorrect The correct answer

Go to Q5 Variance is correct!

Q5: A theorem that describes the result of performing the same experiment a large number of times. According to the law, the average of the results obtained from a large number of trials should be close to the expected value, and will tend to become closer as more trials are performed. Simpson’s Paradox Law of Large NumbersBill of Rights Pythagorean Theorem

Go to Q6 That is incorrect The correct answer is Law of Large Numbers

Go to Q6 Simpson’s Paradox is incorrect The correct answer is Law of Large Numbers

Go to Q6 Law of Large Numbers is correct!

Q6: Expected value is the __________ of all possible outcomes of a random variable. Cumulative FrequencyRelative FrequencySum

Go to Q7 Sum is correct!

Go to Q7 Relative Frequency is incorrect The correct answer is Sum

Go to Q7 Cumulative Frequency is incorrect The correct is Sum

Q7: A type of continuous distribution: Normal Distribution Normal ShmistributionContinuous Random Variable

Go to Q8 Normal Distribution is correct!

Go to Q8 That is incorrect The correct answer is Normal Distribution

Q8: The distribution of a random variable in which each value has the same probability of occurance: Probability Histogram Density CurveUniform Distribution

Go to Q9 That is incorrect The correct answer is Uniform Distribution

Go to Q9 Uniform Distribution is correct!

Q9: Takes all values in some intervals of numbers: Irregular Numbers Continuous Random Variable Integer Variables

Go to Q10 That is incorrect The correct answer is Continuous Random Variable

Go to Q10 Continuous Random Variable is correct!

Q10: An average of the products of the standardized X and Y observations VarianceDistributionCorrelation

End! Correlation is correct!

End! Distribution is incorrect The correct answer is Correlation

End! Variance is incorrect The correct answer is Correlation

Thanks for reviewing the Chapter 1 vocabulary!