Construct a probability distribution and calculate its summary statistics. Then/Now.

Slides:



Advertisements
Similar presentations
E(X 2 ) = Var (X) = E(X 2 ) – [E(X)] 2 E(X) = The Mean and Variance of a Continuous Random Variable In order to calculate the mean or expected value of.
Advertisements

Normal Distributions: Finding Probabilities
CORE 1 Patterns in Chance. Daily Starter Begin Handout.
EXAMPLE 1 Construct a probability distribution Let X be a random variable that represents the sum when two six-sided dice are rolled. Make a table and.
Variability Measures of spread of scores range: highest - lowest standard deviation: average difference from mean variance: average squared difference.
Probability and Statistics in Engineering Philip Bedient, Ph.D.
© 2010 Pearson Education Inc.Goldstein/Schneider/Lay/Asmar, CALCULUS AND ITS APPLICATIONS, 12e – Slide 1 of 15 Chapter 12 Probability and Calculus.
Lesson Means and Variances of Random Variables.
Discrete Probability Distributions Chapter 4. § 4.1 Probability Distributions.
Splash Screen. Lesson Menu Five-Minute Check (over Lesson 12–7) CCSS Then/Now New Vocabulary Example 1:Random Variables Key Concept: Properties of Probability.
Lesson 7 - R Review of Random Variables. Objectives Define what is meant by a random variable Define a discrete random variable Define a continuous random.
Probability Distributions Random Variables * Discrete Probability Distributions * Mean, Variance, and Standard Deviation * Expected Value.
Splash Screen. Lesson Menu Five-Minute Check (over Lesson 11–2) CCSS Then/Now New Vocabulary Example 1: Identify and Classify Random Variables Key Concept:
Chapter 5 Discrete Probability Distributions
7.4 – Sampling Distribution Statistic: a numerical descriptive measure of a sample Parameter: a numerical descriptive measure of a population.
Chapter 5 The Binomial Probability Distribution and Related Topics.
Mean and Standard Deviation of Discrete Random Variables.
Discrete Random Variables. Numerical Outcomes Consider associating a numerical value with each sample point in a sample space. (1,1) (1,2) (1,3) (1,4)
Chapter 4 Discrete Probability Distributions 1 Larson/Farber 4th ed.
4.1 Probability Distributions NOTES Coach Bridges.
Discrete and Continuous Random Variables.  13 out of 21 students correctly identified the bottled water. How many correct identifications would you need.
7.4 Normal Distributions Part II p GUIDED PRACTICE From Yesterday’s notes A normal distribution has mean and standard deviation σ. Find the indicated.
§ 5.3 Normal Distributions: Finding Values. Probability and Normal Distributions If a random variable, x, is normally distributed, you can find the probability.
Introductory Statistics Lesson 4.1 B Objective: SSBAT construct a discrete probability distribution and its graph. SSBAT determine if a distribution is.
Lesson Discrete Random Variables. Objectives Distinguish between discrete and continuous random variables Identify discrete probability distributions.
Discrete and Continuous Random Variables. Yesterday we calculated the mean number of goals for a randomly selected team in a randomly selected game.
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.
EXAMPLE 3 Use a z-score and the standard normal table Scientists conducted aerial surveys of a seal sanctuary and recorded the number x of seals they observed.
Chapter 4 Discrete Probability Distributions 1 Larson/Farber 4th ed.
7.4 Use Normal Distributions p Warm-Up From Page 261 (Homework.) You must show all of your work for credit 1.) #9 2.) #11.
Chapter 4 Discrete Probability Distributions 4.1 Probability Distributions I.Random Variables A random variable x represents a numerical value associated5with.
Normal Probability Distributions Chapter 5. § 5.2 Normal Distributions: Finding Probabilities.
7.4 Normal Distributions. EXAMPLE 1 Find a normal probability SOLUTION The probability that a randomly selected x -value lies between – 2σ and is.
Chapter 6: The Binomial Distribution and Related Topics 6.1 – Introduction to Random Variables and Probability Distributions 6.2 – Binomial Probabilities.
Chapter 7 Lesson 7.4a Random Variables and Probability Distributions 7.4: Mean and Standard Deviation of a Random Variable.
Discrete Probability Distributions Chapter 4. § 4.1 Probability Distributions.
Discrete Random Variables Section 6.1. Objectives Distinguish between discrete and continuous random variables Identify discrete probability distributions.
SWBAT: -Distinguish between discrete and continuous random variables -Construct a probability distribution and its graph -Determine if a distribution is.
Discrete Probability Distributions
Splash Screen.
Unit 5 Section 5-2.
Discrete Probability Distributions
Random Variables and Probability Distribution (2)
Splash Screen.
CHAPTER 1 Exploring Data
Chapter 4 Discrete Probability Distributions.
Chapter 4 Discrete Probability Distributions.
Aim – How do we analyze a Discrete Random Variable?
Lecture Slides Elementary Statistics Twelfth Edition
Standard Normal Calculations
Elementary Statistics: Picturing The World
Elementary Statistics: Picturing The World
The Normal Probability Distribution Summary
Topic 6: Statistics.
Determine whether each situation calls for a survey, an experiment, or an observational study. Explain your reasoning. You want to find opinions on the.
11-3 Use Normal Distributions
Unit 2: Descriptive Statistics
A study of education followed a large group of fourth-grade children to see how many years of school they eventually completed. Let x be the highest year.
Calculating Averages with
10-3 Probability distributions
Discrete Probability Distributions
Hypothesis Testing and Confidence Intervals
Chapter 5 Normal Probability Distributions.
Splash Screen.
Probability Distributions
Chapter 5 Normal Probability Distributions.
Chapter 5 Normal Probability Distributions.
6.1 Construct and Interpret Binomial Distributions
Descriptive statistics for groups:
Presentation transcript:

Construct a probability distribution and calculate its summary statistics. Then/Now

Copy in your notes pg664 Key Concept 1

With your partner, answer the following questions (2 minutes): Classify Random Variables as Discrete or Continuous With your partner, answer the following questions (2 minutes): A. Classify the random variable X as discrete or continuous when X represents the number of times a phone rings before being answered. Explain your reasoning. B. Classify the random variable X as discrete or continuous when X represents the amount of time between when a phone first rings and when it is answered. Explain your reasoning. Example 1

With your partner, answer the following questions: Classify Random Variables as Discrete or Continuous With your partner, answer the following questions: A. Classify the random variable X as discrete or continuous when X represents the number of times a phone rings before being answered. Explain your reasoning. Discrete; the number of rings is countable. B. Classify the random variable X as discrete or continuous when X represents the amount of time between when a phone first rings and when it is answered. Explain your reasoning. Continuous; the time could be any time in a reasonable interval. Example 1

Copy in your notes-page 665 Key Concept 2

Copy example 2A with work shown: Construct a Probability Distribution Copy example 2A with work shown: 2A. MOVIE RATINGS Movie-goers were asked to rate a movie. The possible ratings were 1 for poor, 2 for average, and 3 for good. Use the frequency distribution shown to construct and graph a probability distribution for the random variable X. Example 2

Construct a Probability Distribution To find the probability that X takes on each value, divide the frequency of each value by the total number of movie ratings, which is 12 + 14 + 37 or 63. P(1) = or 0.19 P(2) = or 0.22 P(3) = or 0.59 Example 2

Construct a Probability Distribution The probability distribution of X is shown in the table and graph below. Answer: CHECK All of the probabilities in the table are between 0 and 1 and .  Example 2

Solve with partner (5 minutes) 2B. ONLINE SHOPPING A rating survey was conducted about the ease of using an online shopping site. The results are shown in the table. Use the frequency distribution to construct and graph a probability distribution. Example 2

2B. ONLINE SHOPPING A rating survey was conducted about the ease of using an online shopping site. The results are shown in the table. Use the frequency distribution to construct and graph a probability distribution. Example 2

Copy in notes-page 666 Key Concept 3

Copy example 3A with work shown: Mean of a Probability Distribution Copy example 3A with work shown: 3A. MOVIE RATINGS The table shows the probability distribution from Example 2. Find the mean score and interpret its meaning in the context of the problem situation. Example 3

Therefore, the mean μ of this probability distribution is about 2.4. Mean of a Probability Distribution Multiply each score by its probability and find the sum of these products. Organize your calculations by extending the table. Therefore, the mean μ of this probability distribution is about 2.4. Answer: 2.4; The movie is considered between average and good by movie-goers. Example 3

Solve with partner (3 minutes) 3B. ONLINE SHOPPING The table shows the probability distribution from Example 2, Guided Practice. Find the mean score and interpret its meaning in the context of the problem situation. Example 3

Solve with partner (3 minutes) 3B. ONLINE SHOPPING The table shows the probability distribution from Example 2, Guided Practice. Find the mean score and interpret its meaning in the context of the problem situation. 2.27; The online site is considered good by its users. Example 3

Homework: p.671 #1-9 (for questions 7,8,9 don’t find variance and standard deviation), 35, 49, 51,56,57