Unit 7 Quiz: Review questions

Slides:



Advertisements
Similar presentations
Copyright © 2010, 2007, 2004 Pearson Education, Inc. Chapter 14 From Randomness to Probability.
Advertisements

Hypothesis Testing making decisions using sample data.
Section 7A: Fundamentals of Probability Section Objectives Define outcomes and event Construct a probability distribution Define subjective and empirical.
MM207 Statistics Welcome to the Unit 7 Seminar Prof. Charles Whiffen.
8.7 Probability. Ex 1 Find the sample space for each of the following. One coin is tossed. Two coins are tossed. Three coins are tossed.
Horse race © Horse race: rules 1.Each player chooses a horse and puts it into a stall. Write your name next to the.
Sets, Combinatorics, Probability, and Number Theory Mathematical Structures for Computer Science Chapter 3 Copyright © 2006 W.H. Freeman & Co.MSCS SlidesProbability.
5.1 Basic Probability Ideas
Math 409/409G History of Mathematics
Probability Notes Probability: How likely it is that a particular event will occur. When the outcomes are equally likely, the probability of an event is.
1.2 – Random Samples Simple Random Sample – Every sample of size n from the population has an equal chance of being selected – Every member of the population.
Chapter 6 USING PROBABILITY TO MAKE DECISIONS ABOUT DATA.
Chapter 7 Probability. 7.1 The Nature of Probability.
Basic Concepts of Probability Coach Bridges NOTES.
Copyright © 2010 Pearson Education, Inc. Chapter 14 From Randomness to Probability.
Try, Try Again. What does probability mean? What does a probability of zero mean? What about a probability of 1.0?
Copyright © 2005 Pearson Education, Inc. Slide 7-1.
© 2011 MARS University of NottinghamBeta Version Projector resources: Evaluating Statements About Probability Projector Resources.
5.1 Probability in our Daily Lives.  Which of these list is a “random” list of results when flipping a fair coin 10 times?  A) T H T H T H T H T H 
From Randomness to Probability Chapter 14. Dealing with Random Phenomena A random phenomenon is a situation in which we know what outcomes could happen,
MM207 Statistics Welcome to the Unit 7 Seminar With Ms. Hannahs.
Warm Up If Babe Ruth has a 57% chance of hitting a home run every time he is at bat, run a simulation to find out his chances of hitting a homerun at least.
Essential Ideas for The Nature of Probability
Samples spaces are _______________
Mathematics Department
6.3 Binomial and Geometric Random Variables
Chapter 3: Probability Topics
Probability.
A Survey of Probability Concepts
One-Sample Inference for Proportions
Chapter 3 Probability Larson/Farber 4th ed.
Determining the theoretical probability of an event
Chapter 3 Probability.
Probability and Statistics Chapter 3 Notes
AP Statistics Empirical Rule.
A Survey of Probability Concepts
AND.
Hypothesis Testing: Two Sample Test for Means and Proportions
Student Activity 1: Fair trials with two dice
Consider This… I claim that I make 80% of my basketball free throws. To test my claim, you ask me to shoot 20 free throws. I make only 8 out of 20.
A Survey of Probability Concepts
Equal? Independent? Phenomena appear to occur according to equal chances, but indeed in those incidents there are many hidden biases and thus observers.
Chapter 3.1 Probability Students will learn several ways to model situations involving probability, such as tree diagrams and area models. They will.
From Randomness to Probability
From Randomness to Probability
6.2 Basics of Probability LEARNING GOAL
Information from Samples
The Nature of Probability
Probability: Living with the Odds
What is random? Chong Ho Yu, Ph.Ds. Azusa Pacific University.
Chapter 3 Probability.
Chapter 3 Probability Larson/Farber 4th ed.
Chapter 3 Probability.
Warm Up Wed/Thurs. Do #17 p. 341 You will want this on a piece of paper to KEEP for reference.
Fundamentals of Probability
Unit 6 Review Probability Bingo.
Unit 10 Quiz: Review questions
6.2 Basics of Probability LEARNING GOAL
Copyright © 2014, 2010, 2007 Pearson Education, Inc.
Unit 9 Quiz: Review questions
Unit 6 Quiz: Review questions
Statistics and Probability-Part 5
From Randomness to Probability
It's time for some trashketball!!!.
What is the 5th term in the expansion of (2a + b)6?
Unit 5 Quiz: Review questions
Unit 8 Quiz: Review questions
Unit 12 Quiz: Review questions
The Standard Score Standard Score (z-score)
Sets, Combinatorics, Probability, and Number Theory
Presentation transcript:

Unit 7 Quiz: Review questions

Can you explain your answer? Use your fingers to indicate your answer: 1=A, 2=B, 3=C, 4=D. After viewing the question, show me your answer in 15 seconds. Next, turn to your neighbor and you have one minute to convince him/her that you are right.

Which of the following statement about random sampling is true? Randomness as equal chance works well in a close system. Randomness as equal chance works well in the empirical world. Randomness as equal chance works well in both the theoretical and empirical worlds.

Assume that there exists hidden bias in the real world Assume that there exists hidden bias in the real world. Which of the following is a better definition of random sampling? A selection process in which every member in the set has an equal chance to be selected. A selection process in which every member in the set has an independent chance to be selected. A selection process in which every member in the set has a systematic chance to be selected.

Which random process(es) may have a hidden bias? In an event the host randomly throws a gift to the audience. In a study the researcher offers incentives to randomly selected participants. An artist randomly put some pigments on a piece of paper. All of the above

In a raffle I randomly select three winners out of 40 participants In a raffle I randomly select three winners out of 40 participants. What is the probability of winning for the third winner, assuming sampling without replacement? 1/40 1/39 1/38

The researcher will randomly select 100 students from APU in the academic year 2018-19. What is the formula of computing the probability of being sampled? Sample size/target population size Sample size/accessible population size Impossible to get one single answer

Which of the following statement is true? The target population includes the past and present population only. The target population includes the present population only. The target population includes the past, present, and future populations.

The acceptance rate of MIT is 6. 9% The acceptance rate of MIT is 6.9%. When Tom tried to apply for MIT, his parents told him, “Don’t bother. Your chance is very slim.” His parents are using _____ Probablistic reasoning Direct evidence Bayesian statistics

The acceptance rate of MIT is 6. 9% The acceptance rate of MIT is 6.9%. When Tom tried to apply for MIT, his parents told him, “You will make it! Your ranking at your high school is among the top 1%. Your SAT is 1600.” His parents are using _____ Probabilistic reasoning Conditional probability or direct evidence Addition rule

The acceptance rate of MIT is 6. 9% The acceptance rate of MIT is 6.9%. When Tom tried to apply for MIT, his parents told him, “Your ranking at your high school is average. Your SAT is 1400 only. Your chance is slim because last year all applicants like you were rejected.” Tom said, “I will make it! I am better than them!” Tom might committee the ________ Ecological fallacy Confirmation bias Above-average fallacy

A six-sided fair die is rolled A six-sided fair die is rolled. I want to find the probability of getting an odd number or a prime number. Which rule should be used? Addition rule Multiplication rule Either one

A lucky person won the raffle three years in a row A lucky person won the raffle three years in a row. Assume that there was no cheating and the results are fair. If I want to find out the probability, which rule should be used? Addition rule Multiplication rule Either one