Introductory Statistics
3rd Edition
ISBN: 9780135188927
Author: Gould, Robert, Ryan, Colleen N. (colleen Nooter)
Publisher: Pearson,
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Chapter 10, Problem 63CRE
To determine
Choose an appropriate test for the provided scenario.
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Students have asked these similar questions
1. Differentiate between discrete and continuous random variables,
providing examples for each type.
2. Consider a discrete random variable representing the number of
patients visiting a clinic each day. The probabilities for the
number of visits are as follows:
0 visits: P(0) = 0.2
1 visit: P(1) = 0.3
2 visits: P(2) = 0.5
Using this information, calculate the expected value (mean) of
the number of patient visits per day. Show all your workings
clearly.
Rubric to follow
Definition of Random variables ( clearly and accurately differentiate between discrete and continuous random variables with appropriate examples for each)
Identification of discrete random variable (correctly identifies "number of patient visits" as a discrete random variable and explains reasoning clearly.)
Calculation of probabilities (uses the probabilities correctly in the calculation, showing all steps clearly and logically)
Expected value calculation (calculate the expected value (mean)…
if the b coloumn of a z table disappeared what would be used to determine b column probabilities
Construct a model of population flow between metropolitan and nonmetropolitan areas of a given country, given that their respective populations in 2015 were 263 million and 45 million. The probabilities
are given by the following matrix.
(from)
(to)
metro nonmetro
0.99 0.02 metro
0.01 0.98
nonmetro
Predict the population distributions of metropolitan and nonmetropolitan areas for the years 2016 through 2020 (in millions, to four decimal places). (Let x, through x5 represent the years 2016 through
2020, respectively.)
x₁ =
x2
X3
261.27
46.73
11
259.59
48.41
11
257.96
50.04
11
256.39
51.61
11
t
Chapter 10 Solutions
Introductory Statistics
Ch. 10 - Tests a. In Chapter 8, you learned some tests of...Ch. 10 - In Chapter 9, you learned some tests of means. Are...Ch. 10 - Crime and Gender A statistics student conducted a...Ch. 10 - Red Cars and Stop Signs The table shows the raw...Ch. 10 - The table summarizes the outcomes of a study that...Ch. 10 - Finger Length There is a theory that relative...Ch. 10 - Student Loans-California According to a 2017...Ch. 10 - Student Loans-Illinois According to a 2017 report,...Ch. 10 - Breakfast Habits (Example 1 2) In a 2015 study by...Ch. 10 - Fast Food Habits In the study referenced in...
Ch. 10 - Mummies with Heart Disease According to the...Ch. 10 - Texting While Driving According to the 2015 High...Ch. 10 - Violins Stradivarius violins, made in the 1700s by...Ch. 10 - Coin Flips You flip a coin 100 times and get 58...Ch. 10 - Prob. 15SECh. 10 - Prob. 16SECh. 10 - Are Humans Like Random Number Generators? (Example...Ch. 10 - Is the Random Number Table Really Random? We...Ch. 10 - Coin Spins A penny was spun on a hard, flat...Ch. 10 - Internet Usage In 2018 Pew Research reported that...Ch. 10 - Dreidel Spinning When playing Dreidel, (see photo)...Ch. 10 - Plastic Dreidel See exercise 10.21 for an...Ch. 10 - Is the Six-Sided Die Fair? The table shows the...Ch. 10 - Is the Six-Sided Die Fair? Repeat the chi-square...Ch. 10 - Violins Professional musicians listened to five...Ch. 10 - Mummies with Heart Disease Exercise 10.11 on...Ch. 10 - Party and Right Direction (Example 4) Suppose a...Ch. 10 - Antibiotic or Placebo A large number of surgery...Ch. 10 - Relevant Education (Example 5) A 2018 Gallup poll...Ch. 10 - Prob. 30SECh. 10 - Fitness The table shows the percentage of all men...Ch. 10 - Food Security The table shows the percentage of...Ch. 10 - Fitness App Use and Gender (Example 6) In a 2015...Ch. 10 - Diet App Use and Gender In the study referenced in...Ch. 10 - HPV Vaccination Rates A vaccine is available to...Ch. 10 - HPV Vaccine Literacy Rates In the study described...Ch. 10 - Gender and Happiness of Marriage The table shows...Ch. 10 - Is Smiling Independent of Age? Randomly chosen...Ch. 10 - Preschool Attendance and High School Graduation...Ch. 10 - Preschool Attendance and High School Graduation...Ch. 10 - Preschool Attendance and High School Graduation...Ch. 10 - Prob. 42SECh. 10 - Prob. 43SECh. 10 - Marijuana Legalization The 2018 Pew Research poll...Ch. 10 - Brain Bleed Treatment In a 2018 article published...Ch. 10 - Multiple Sclerosis Treatment In a 2018 article...Ch. 10 - Prob. 47SECh. 10 - Political Party Affiliation and Generation A 2018...Ch. 10 - Prob. 49SECh. 10 - Night Shifts A random sample of nurses working...Ch. 10 - Gender and Political Party Affiliation The data in...Ch. 10 - Children and Happiness The data in the table come...Ch. 10 - Prob. 53SECh. 10 - Nice Rats Rats had a choice of freeing another rat...Ch. 10 - Peanut Allergies In a 2015 study reported in the...Ch. 10 - Peanut Allergies In the study described in...Ch. 10 - Prob. 57CRECh. 10 - In exercises 10.57 to 10.64, choose an appropriate...Ch. 10 - Prob. 59CRECh. 10 - Prob. 60CRECh. 10 - Prob. 61CRECh. 10 - In exercises 10.57 to 10.64, choose an appropriate...Ch. 10 - Prob. 63CRECh. 10 - In exercises 10.57 to 10.64, choose an appropriate...Ch. 10 - Perry Preschool Arrests The Perry Preschool...Ch. 10 - Parental Training and Criminal Behavior of...Ch. 10 - Prob. 67CRECh. 10 - Prob. 68CRECh. 10 - Harassment in the Workplace An 2017 NPR/Marist...Ch. 10 - Prob. 70CRECh. 10 - Robot Cockroaches Cockroaches tend to rest in...Ch. 10 - Robot Cockroaches Refer to the description in...Ch. 10 - Prob. 73CRECh. 10 - Conviction Rate with Opposite Race Here are the...
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- 1 No. 2 3 4 Binomial Prob. X n P Answer 5 6 4 7 8 9 10 12345678 8 3 4 2 2552 10 0.7 0.233 0.3 0.132 7 0.6 0.290 20 0.02 0.053 150 1000 0.15 0.035 8 7 10 0.7 0.383 11 9 3 5 0.3 0.132 12 10 4 7 0.6 0.290 13 Poisson Probability 14 X lambda Answer 18 4 19 20 21 22 23 9 15 16 17 3 1234567829 3 2 0.180 2 1.5 0.251 12 10 0.095 5 3 0.101 7 4 0.060 3 2 0.180 2 1.5 0.251 24 10 12 10 0.095arrow_forwardstep by step on Microssoft on how to put this in excel and the answers please Find binomial probability if: x = 8, n = 10, p = 0.7 x= 3, n=5, p = 0.3 x = 4, n=7, p = 0.6 Quality Control: A factory produces light bulbs with a 2% defect rate. If a random sample of 20 bulbs is tested, what is the probability that exactly 2 bulbs are defective? (hint: p=2% or 0.02; x =2, n=20; use the same logic for the following problems) Marketing Campaign: A marketing company sends out 1,000 promotional emails. The probability of any email being opened is 0.15. What is the probability that exactly 150 emails will be opened? (hint: total emails or n=1000, x =150) Customer Satisfaction: A survey shows that 70% of customers are satisfied with a new product. Out of 10 randomly selected customers, what is the probability that at least 8 are satisfied? (hint: One of the keyword in this question is “at least 8”, it is not “exactly 8”, the correct formula for this should be = 1- (binom.dist(7, 10, 0.7,…arrow_forwardKate, Luke, Mary and Nancy are sharing a cake. The cake had previously been divided into four slices (s1, s2, s3 and s4). What is an example of fair division of the cake S1 S2 S3 S4 Kate $4.00 $6.00 $6.00 $4.00 Luke $5.30 $5.00 $5.25 $5.45 Mary $4.25 $4.50 $3.50 $3.75 Nancy $6.00 $4.00 $4.00 $6.00arrow_forward
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