Fundamentals of Statistics (5th Edition)
5th Edition
ISBN: 9780134510026
Author: Sullivan
Publisher: PEARSON
expand_more
expand_more
format_list_bulleted
Concept explainers
Videos
Textbook Question
Chapter 8.1, Problem 12AYU
In Problems 9–12, determine
12. μ = 27, σ = 6, n = 15
Expert Solution & Answer
Want to see the full answer?
Check out a sample textbook solution
Students have asked these similar questions
Elementary StatisticsBase on the same given data uploaded in module 4, will you conclude that the number of bathroom of houses is a significant factor for house sellprice? I your answer is affirmative, you need to explain how the number of bathroom influences the house price, using a post hoc procedure. (Please treat number of bathrooms as a categorical variable in this analysis)Base on the same given data, conduct an analysis for the variable sellprice to see if sale price is influenced by living area. Summarize your finding including all regular steps (learned in this module) for your method. Also, will you conclude that larger house corresponding to higher price (justify)?Each question need to include a spss or sas output.
Instructions:
You have to use SAS or SPSS to perform appropriate procedure: ANOVA or Regression based on the project data (provided in the module 4) and research question in the project file. Attach the computer output of all key steps (number) quoted in…
Elementary StatsBase on the given data uploaded in module 4, change the variable sale price into two categories: abovethe mean price or not; and change the living area into two categories: above the median living area ornot ( your two group should have close number of houses in each group). Using the resulting variables,will you conclude that larger house corresponding to higher price?Note: Need computer output, Ho and Ha, P and decision. If p is small, you need to explain what type ofdependency (association) we have using an appropriate pair of percentages.
Please include how to use the data in SPSS and interpretation of data.
An environmental research team is studying the daily rainfall (in millimeters) in a region over 100 days.
The data is grouped into the following histogram bins:
Rainfall Range (mm) Frequency
0-9.9
15
10 19.9
25
20-29.9
30
30-39.9
20
||40-49.9
10
a) If a random day is selected, what is the probability that the rainfall was at least 20 mm but less than 40
mm?
b) Estimate the mean daily rainfall, assuming the rainfall in each bin is uniformly distributed and the
midpoint of each bin represents the average rainfall for that range.
c) Construct the cumulative frequency distribution and determine the rainfall level below which 75% of the
days fall.
d) Calculate the estimated variance and standard deviation of the daily rainfall based on the histogram data.
Chapter 8 Solutions
Fundamentals of Statistics (5th Edition)
Ch. 8.1 - The _____ _____ of the sample mean, x, is the...Ch. 8.1 - Suppose a simple random sample of size n is drawn...Ch. 8.1 - The standard deviation of the sampling...Ch. 8.1 - True or False: The distribution of the sample...Ch. 8.1 - True or False: The distribution of the sample...Ch. 8.1 - True or False: To cut the standard error of the...Ch. 8.1 - A simple random sample of size n = 10 is obtained...Ch. 8.1 - A simple random sample of size n = 40 is obtained...Ch. 8.1 - In Problems 912, determine x and x from the given...Ch. 8.1 - In Problems 912, determine x and x from the given...
Ch. 8.1 - In Problems 912, determine x and x from the given...Ch. 8.1 - In Problems 912, determine x and x from the given...Ch. 8.1 - Answer the following questions for the sampling...Ch. 8.1 - Answer the following questions for the sampling...Ch. 8.1 - A simple random sample of size n = 49 is obtained...Ch. 8.1 - A simple random sample of size n = 36 is obtained...Ch. 8.1 - A simple random sample of size n = 12 is obtained...Ch. 8.1 - A simple random sample of size n = 20 is obtained...Ch. 8.1 - NW Gestation Period The length of human...Ch. 8.1 - Upper Leg Length The upper leg length of 20- to...Ch. 8.1 - Reading Rates The reading speed of second grade...Ch. 8.1 - Old Faithful The most famous geyser in the world....Ch. 8.1 - Rates of Return in Stocks The SP 500 is a...Ch. 8.1 - Winning Poker A very good poker player is expected...Ch. 8.1 - NW Oil Change The shape of the distribution of the...Ch. 8.1 - Time Spent in the Drive-Through The...Ch. 8.1 - Insect Fragments The Food and Drug Administration...Ch. 8.1 - Burger Kings Drive-Through Suppose that cars...Ch. 8.1 - Watching Television The amount of time Americans...Ch. 8.1 - ATM Withdrawals According to Crown ATM Network,...Ch. 8.1 - Sampling Distributions The following data...Ch. 8.1 - Sampling Distributions The following data...Ch. 8.1 - Putting It Together: Playing Roulette In the game...Ch. 8.1 - Explain what a sampling distribution is.Ch. 8.1 - State the Central Limit Theorem.Ch. 8.1 - We assume that we are obtaining simple random...Ch. 8.1 - Without doing any computation, decide which has a...Ch. 8.1 - For the three probability distributions shown,...Ch. 8.1 - Suppose Jack and Diane are each attempting to use...Ch. 8.1 - Sleepy Suppose you want to study the number of...Ch. 8.1 - Sleepy Again Suppose you want to study the number...Ch. 8.1 - Bull Markets A bull market is defined as a market...Ch. 8.2 - In a town of 500 households, 220 have a dog. The...Ch. 8.2 - The _____ _____, denoted p, is given by the...Ch. 8.2 - True or False: The population proportion and...Ch. 8.2 - True or False: The mean of the sampling...Ch. 8.2 - Describe the circumstances under which the shape...Ch. 8.2 - What happens to the standard deviation of p as the...Ch. 8.2 - In Problems 710, describe the sampling...Ch. 8.2 - In Problems 710, describe the sampling...Ch. 8.2 - In Problems 710, describe the sampling...Ch. 8.2 - In Problems 710, describe the sampling...Ch. 8.2 - A simple random sample of size n = 75 is obtained...Ch. 8.2 - A simple random sample of size n = 200 is obtained...Ch. 8.2 - Prob. 13AYUCh. 8.2 - A simple random sample of size n = 1460 is...Ch. 8.2 - Foreign Language According to a study done by...Ch. 8.2 - Are You Satisfied? According to a study done by...Ch. 8.2 - NW Marriage Obsolete? According to a study done by...Ch. 8.2 - Credit Cards According to creditcard.com, 29% of...Ch. 8.2 - Afraid to Fly According to a study conducted by...Ch. 8.2 - Having Children? The Pew Research Center recently...Ch. 8.2 - Election Prediction Exit polling is a popular...Ch. 8.2 - Acceptance Sampling A shipment of 50,000...Ch. 8.2 - Social Security Reform A researcher studying...Ch. 8.2 - Prob. 24AYUCh. 8.2 - Reincarnation Suppose 21% of all American teens...Ch. 8.2 - Assessments Consider the homeowners association...Ch. 8.2 - Airline Reservations In Chapter 6, We learned that...Ch. 8.2 - Finite Population Correction Factor In this...Ch. 8.2 - Fumbles The New England Patriots made headlines...Ch. 8 - In your own words, explain what a sampling...Ch. 8 - Prob. 2RECh. 8 - Under what conditions is the sampling distribution...Ch. 8 - Prob. 4RECh. 8 - Energy Need during Pregnancy The total energy need...Ch. 8 - Copper Tubing A machine at KA Tube Manufacturing...Ch. 8 - Number of Televisions Based on data obtained from...Ch. 8 - Entrepreneurship A Gallup survey indicated that...Ch. 8 - Advanced Degrees According to the U.S. Census...Ch. 8 - Variability in Baseball Suppose, during the course...Ch. 8 - Prob. 1CTCh. 8 - Prob. 2CTCh. 8 - The charge life of a certain lithium ion battery...Ch. 8 - A machine used for filling plastic bottles with a...Ch. 8 - Prob. 5CTCh. 8 - Prob. 6CTCh. 8 - Prob. 7CTCh. 8 - Using statistical software, generate 250 samples...Ch. 8 - Prob. 2CSCh. 8 - Prob. 3CSCh. 8 - Prob. 4CSCh. 8 - Prob. 5CSCh. 8 - Prob. 6CSCh. 8 - Prob. 7CSCh. 8 - Prob. 8CSCh. 8 - Prob. 9CSCh. 8 - Prob. 10CSCh. 8 - Prob. 11CSCh. 8 - Prob. 12CSCh. 8 - Repeat parts 11 and 12 for samples of size 20...Ch. 8 - Prob. 14CSCh. 8 - How do the averages of your sample means compare...Ch. 8 - Prob. 16CSCh. 8 - Prob. 17CSCh. 8 - Construct histograms for each column of summary...Ch. 8 - Prob. 19CS
Knowledge Booster
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.Similar questions
- An electronics company manufactures batches of n circuit boards. Before a batch is approved for shipment, m boards are randomly selected from the batch and tested. The batch is rejected if more than d boards in the sample are found to be faulty. a) A batch actually contains six faulty circuit boards. Find the probability that the batch is rejected when n = 20, m = 5, and d = 1. b) A batch actually contains nine faulty circuit boards. Find the probability that the batch is rejected when n = 30, m = 10, and d = 1.arrow_forwardTwenty-eight applicants interested in working for the Food Stamp program took an examination designed to measure their aptitude for social work. A stem-and-leaf plot of the 28 scores appears below, where the first column is the count per branch, the second column is the stem value, and the remaining digits are the leaves. a) List all the values. Count 1 Stems Leaves 4 6 1 4 6 567 9 3688 026799 9 8 145667788 7 9 1234788 b) Calculate the first quartile (Q1) and the third Quartile (Q3). c) Calculate the interquartile range. d) Construct a boxplot for this data.arrow_forwardPam, Rob and Sam get a cake that is one-third chocolate, one-third vanilla, and one-third strawberry as shown below. They wish to fairly divide the cake using the lone chooser method. Pam likes strawberry twice as much as chocolate or vanilla. Rob only likes chocolate. Sam, the chooser, likes vanilla and strawberry twice as much as chocolate. In the first division, Pam cuts the strawberry piece off and lets Rob choose his favorite piece. Based on that, Rob chooses the chocolate and vanilla parts. Note: All cuts made to the cake shown below are vertical.Which is a second division that Rob would make of his share of the cake?arrow_forward
- Three players (one divider and two choosers) are going to divide a cake fairly using the lone divider method. The divider cuts the cake into three slices (s1, s2, and s3). If the choosers' declarations are Chooser 1: {s1 , s2} and Chooser 2: {s2 , s3}. Using the lone-divider method, how many different fair divisions of this cake are possible?arrow_forwardTheorem 2.6 (The Minkowski inequality) Let p≥1. Suppose that X and Y are random variables, such that E|X|P <∞ and E|Y P <00. Then X+YpX+Yparrow_forwardTheorem 1.2 (1) Suppose that P(|X|≤b) = 1 for some b > 0, that EX = 0, and set Var X = 0². Then, for 0 0, P(X > x) ≤e-x+1²² P(|X|>x) ≤2e-1x+1²² (ii) Let X1, X2...., Xn be independent random variables with mean 0, suppose that P(X ≤b) = 1 for all k, and set oσ = Var X. Then, for x > 0. and 0x) ≤2 exp Σ k=1 (iii) If, in addition, X1, X2, X, are identically distributed, then P(S|x) ≤2 expl-tx+nt²o).arrow_forward
- Theorem 5.1 (Jensen's inequality) state without proof the Jensen's Ineg. Let X be a random variable, g a convex function, and suppose that X and g(X) are integrable. Then g(EX) < Eg(X).arrow_forwardCan social media mistakes hurt your chances of finding a job? According to a survey of 1,000 hiring managers across many different industries, 76% claim that they use social media sites to research prospective candidates for any job. Calculate the probabilities of the following events. (Round your answers to three decimal places.) answer parts a-c. a) Out of 30 job listings, at least 19 will conduct social media screening. b) Out of 30 job listings, fewer than 17 will conduct social media screening. c) Out of 30 job listings, exactly between 19 and 22 (including 19 and 22) will conduct social media screening. show all steps for probabilities please. answer parts a-c.arrow_forwardQuestion: we know that for rt. (x+ys s ا. 13. rs. and my so using this, show that it vye and EIXI, EIYO This : E (IX + Y) ≤2" (EIX (" + Ely!")arrow_forward
- Theorem 2.4 (The Hölder inequality) Let p+q=1. If E|X|P < ∞ and E|Y| < ∞, then . |EXY ≤ E|XY|||X|| ||||qarrow_forwardTheorem 7.6 (Etemadi's inequality) Let X1, X2, X, be independent random variables. Then, for all x > 0, P(max |S|>3x) ≤3 max P(S| > x). Isk≤narrow_forwardTheorem 7.2 Suppose that E X = 0 for all k, that Var X = 0} x) ≤ 2P(S>x 1≤k≤n S√2), -S√2). P(max Sk>x) ≤ 2P(|S|>x- 1arrow_forwardarrow_back_iosSEE MORE QUESTIONSarrow_forward_ios
Recommended textbooks for you
MATLAB: An Introduction with ApplicationsStatisticsISBN:9781119256830Author:Amos GilatPublisher:John Wiley & Sons Inc
Probability and Statistics for Engineering and th...StatisticsISBN:9781305251809Author:Jay L. DevorePublisher:Cengage Learning
Statistics for The Behavioral Sciences (MindTap C...StatisticsISBN:9781305504912Author:Frederick J Gravetter, Larry B. WallnauPublisher:Cengage Learning
Elementary Statistics: Picturing the World (7th E...StatisticsISBN:9780134683416Author:Ron Larson, Betsy FarberPublisher:PEARSON
The Basic Practice of StatisticsStatisticsISBN:9781319042578Author:David S. Moore, William I. Notz, Michael A. FlignerPublisher:W. H. Freeman
Introduction to the Practice of StatisticsStatisticsISBN:9781319013387Author:David S. Moore, George P. McCabe, Bruce A. CraigPublisher:W. H. Freeman
MATLAB: An Introduction with Applications
Statistics
ISBN:9781119256830
Author:Amos Gilat
Publisher:John Wiley & Sons Inc
Probability and Statistics for Engineering and th...
Statistics
ISBN:9781305251809
Author:Jay L. Devore
Publisher:Cengage Learning
Statistics for The Behavioral Sciences (MindTap C...
Statistics
ISBN:9781305504912
Author:Frederick J Gravetter, Larry B. Wallnau
Publisher:Cengage Learning
Elementary Statistics: Picturing the World (7th E...
Statistics
ISBN:9780134683416
Author:Ron Larson, Betsy Farber
Publisher:PEARSON
The Basic Practice of Statistics
Statistics
ISBN:9781319042578
Author:David S. Moore, William I. Notz, Michael A. Fligner
Publisher:W. H. Freeman
Introduction to the Practice of Statistics
Statistics
ISBN:9781319013387
Author:David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:W. H. Freeman
Statistics 4.1 Point Estimators; Author: Dr. Jack L. Jackson II;https://www.youtube.com/watch?v=2MrI0J8XCEE;License: Standard YouTube License, CC-BY
Statistics 101: Point Estimators; Author: Brandon Foltz;https://www.youtube.com/watch?v=4v41z3HwLaM;License: Standard YouTube License, CC-BY
Central limit theorem; Author: 365 Data Science;https://www.youtube.com/watch?v=b5xQmk9veZ4;License: Standard YouTube License, CC-BY
Point Estimate Definition & Example; Author: Prof. Essa;https://www.youtube.com/watch?v=OTVwtvQmSn0;License: Standard Youtube License
Point Estimation; Author: Vamsidhar Ambatipudi;https://www.youtube.com/watch?v=flqhlM2bZWc;License: Standard Youtube License