Understanding Basic Statistics
8th Edition
ISBN: 9781337558075
Author: Charles Henry Brase, Corrinne Pellillo Brase
Publisher: Cengage Learning
expand_more
expand_more
format_list_bulleted
Concept explainers
Videos
Textbook Question
Chapter 3.1, Problem 7P
Basic Computations
827265
Expert Solution & Answer
Want to see the full answer?
Check out a sample textbook solution
Students have asked these similar questions
(c) Because logistic regression predicts probabilities of outcomes, observations used to build a logistic regression model need not be independent.
A. false: all observations must be independent
B. true
C. false: only observations with the same outcome need to be independent
I ANSWERED: A. false: all observations must be independent.
(This was marked wrong but I have no idea why. Isn't this a basic assumption of logistic regression)
Business discuss
Spam filters are built on principles similar to those used in logistic regression. We fit a probability that each message is spam or not spam. We have several variables for each email. Here are a few: to_multiple=1 if there are multiple recipients, winner=1 if the word 'winner' appears in the subject line, format=1 if the email is poorly formatted, re_subj=1 if "re" appears in the subject line. A logistic model was fit to a dataset with the following output:
Estimate
SE
Z
Pr(>|Z|)
(Intercept)
-0.8161
0.086
-9.4895
0
to_multiple
-2.5651
0.3052
-8.4047
0
winner
1.5801
0.3156
5.0067
0
format
-0.1528
0.1136
-1.3451
0.1786
re_subj
-2.8401
0.363
-7.824
0
(a) Write down the model using the coefficients from the model fit.log_odds(spam) = -0.8161 + -2.5651 + to_multiple + 1.5801 winner + -0.1528 format + -2.8401 re_subj(b) Suppose we have an observation where to_multiple=0, winner=1, format=0, and re_subj=0. What is the predicted probability that this message is spam?…
Chapter 3 Solutions
Understanding Basic Statistics
Ch. 3.1 - Statistical Literacy Consider the mode, median,...Ch. 3.1 - Statistical Literacy What symbol is used for the...Ch. 3.1 - Statistical Literacy Look at the formula for the...Ch. 3.1 - Statistical Literacy In order to find the median...Ch. 3.1 - Basic Computation: Mean, Median, Mode Find the...Ch. 3.1 - Basic Computation: Mean, Median, Mode Find the...Ch. 3.1 - Basic Computations Mean, Median, Mode Find the...Ch. 3.1 - Critical Thinking Consider a data set with at...Ch. 3.1 - Critical Thinking Consider a data set with at...Ch. 3.1 - Critical Thinking If a data set has an even number...
Ch. 3.1 - Critical Thinking When a distribution is...Ch. 3.1 - Critical Thinking Consider the following types of...Ch. 3.1 - Critical Thinking Consider the numbers 23455 (a)...Ch. 3.1 - Critical Thinking Consider two data sets. Set...Ch. 3.1 - Interpretation A Job-performance evaluation form...Ch. 3.1 - Critical Thinking: Data Transformation Using...Ch. 3.1 - Critical Thinking: Data Transformation Using...Ch. 3.1 - Critical Thinking Consider a data set of 15...Ch. 3.1 - Environmental Studies: Death Valley How hot does...Ch. 3.1 - Ecology: Wolf Packs How large is a wolf pack? The...Ch. 3.1 - Medical: Injuries The Grand Canyon and the...Ch. 3.1 - Football: Age of Professional Players How old are...Ch. 3.1 - Leisure: Maui Vacation How expensive is Maui? It...Ch. 3.1 - Basic Computation: Weighted Average Find the...Ch. 3.1 - Basic Computation: Weighted Average Find the...Ch. 3.1 - Grades: Weighted Average In your biology class,...Ch. 3.1 - Merit Pay Scale: Weighted Average At General...Ch. 3.1 - EPA: Wetlands Where does all the water go?...Ch. 3.1 - Expand Your knowledge: Harmonic Mean When data...Ch. 3.1 - Expand Your Knowledge: Geometric Mean When data...Ch. 3.2 - Statistical Literacy Which averagemean, median, or...Ch. 3.2 - Statistical Literacy What is the relationship...Ch. 3.2 - Statistical Literacy When computing the standard...Ch. 3.2 - Statistical Literary What symbol is used for the...Ch. 3.2 - Basic Computation: Range, Standard Deviation...Ch. 3.2 - Basic Computation: Range, Standard Deviation...Ch. 3.2 - Critical Thinking Fora given data set in which not...Ch. 3.2 - Critical Thinking Consider two data sets with...Ch. 3.2 - Critical Thinking Each of the following data sets...Ch. 3.2 - Critical Thinking: Data Transformation Using...Ch. 3.2 - Critical Thinking: Data Transformation Using...Ch. 3.2 - Critical Thinking: Outliers One indicator of an...Ch. 3.2 - Basic Computation: Variance, Standard Deviation...Ch. 3.2 - Basic Computation: Coefficient of Variation,...Ch. 3.2 - Basic Computation: Coefficient of Variation....Ch. 3.2 - Investing: Stocks and Bonds Do bonds reduce the...Ch. 3.2 - Space Shuttle: Epoxy Kevlar epoxy it a material...Ch. 3.2 - Archaeology: Ireland The Hill of Tara in Ireland...Ch. 3.2 - Wildlife: Mallard Ducks and Canada Geese For...Ch. 3.2 - Investing: Socially Responsible Mutual Funds Pax...Ch. 3.2 - Medical: Physician Visits In some reports, the...Ch. 3.2 - Grouped Data: Anthropology What was the age...Ch. 3.2 - Grouped Data: Shoplifting What is the age...Ch. 3.2 - Grouped Data: Hours of Sleep per Day Alexander...Ch. 3.2 - Grouped Data: Business Administration What are the...Ch. 3.2 - Expand Your knowledge: Moving Averages You do not...Ch. 3.2 - Prob. 27PCh. 3.2 - Expand Your knowledge: Stratified Sampling and...Ch. 3.2 - Expand Your knowledge: Stratified Sampling and...Ch. 3.2 - Prob. 30PCh. 3.3 - Statistical Literacy Angela took a general...Ch. 3.3 - Statistical Literacy One standard for admission to...Ch. 3.3 - Critical Thinking The town of Butler, Nebraska,...Ch. 3.3 - Critical Thinking Clayton and Timothy took...Ch. 3.3 - Basic Computation: Five-Number Summary,...Ch. 3.3 - Basic Computation: Five-Number Summary...Ch. 3.3 - Health Care: Nurses At Center Hospital there is...Ch. 3.3 - Health Care: Staff Another survey was done at...Ch. 3.3 - Sociology: College Graduates What percentage of...Ch. 3.3 - Sociology: High School Dropouts What percentage of...Ch. 3.3 - Auto Insurance: Interpret GraphsConsumer Reports...Ch. 3.3 - Expand Your knowledge: Outliers Some data include...Ch. 3 - Terminology Consider the following measures of...Ch. 3 - Terminology Consider the statement: For a 5%...Ch. 3 - Terminology When we compute a sample standard...Ch. 3 - Terminology Consider the following terms: outlier,...Ch. 3 - Terminology Consider the following symbols: s,,x,....Ch. 3 - Terminology How is the standard deviation related...Ch. 3 - Terminology In a box-and-whisker plot. which...Ch. 3 - Terminology Consider the following statement: If...Ch. 3 - Statistical Literacy (a) What measures of...Ch. 3 - Critical Thinking Look at the two histograms on...Ch. 3 - Critical Thinking Consider the following Minitab...Ch. 3 - Consumer: Radon Gas "Radon: The Problem No One...Ch. 3 - Political Science: Georgia Democrats How...Ch. 3 - Grade: Weighted Average Professor Cramer...Ch. 3 - General: Average Weight Wright An elevator it...Ch. 3 - Agriculture: Harvest Weight of Maize The following...Ch. 3 - Focus Problem: Water Solve the focus problem at...Ch. 3 - Agriculture: Bell Peppers The pathogen...Ch. 3 - Performance Rating: Weighted Average A performance...Ch. 3 - The Story of Old Faithful is a short book written...Ch. 3 - Most academic advisors tell students to major in a...Ch. 3 - An average is an attempt to summarize a collection...Ch. 3 - Why do we need to study the variation of a...Ch. 3 - Why is the coefficient of variation important?...Ch. 3 - What is Chebyshevs theorem? Suppose you have a...Ch. 3 - Application Using the software or calculator...Ch. 3 - Consider the following measures: mean, median,...Ch. 3 - Describe how the presence of possible outliers...Ch. 3 - Consider two data sets. A and B. The sets are...Ch. 3 - You are examining two data sets involving test...Ch. 3 - In west Texas, water is extremely important. The...Ch. 3 - In west Texas, water is extremely important. The...Ch. 3 - In west Texas, water is extremely important. The...Ch. 3 - In west Texas, water is extremely important. The...Ch. 3 - In west Texas, water is extremely important. The...Ch. 3 - In west Texas, water is extremely important. The...Ch. 3 - In west Texas, water is extremely important. The...Ch. 3 - In west Texas, water is extremely important. The...Ch. 3 - In west Texas, water is extremely important. The...Ch. 3 - Interpretation Wow! In Problems 5-13 you...Ch. 3 - Interpretation Wow! In Problems 5-13 you...Ch. 3 - Interpretation Wow! In Problems 5-13 you...Ch. 3 - Interpretation Wow! In Problems 5-13 you...Ch. 3 - Interpretation Wow! In Problems 5-13 you...
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
- Consider an event X comprised of three outcomes whose probabilities are 9/18, 1/18,and 6/18. Compute the probability of the complement of the event. Question content area bottom Part 1 A.1/2 B.2/18 C.16/18 D.16/3arrow_forwardJohn and Mike were offered mints. What is the probability that at least John or Mike would respond favorably? (Hint: Use the classical definition.) Question content area bottom Part 1 A.1/2 B.3/4 C.1/8 D.3/8arrow_forwardThe details of the clock sales at a supermarket for the past 6 weeks are shown in the table below. The time series appears to be relatively stable, without trend, seasonal, or cyclical effects. The simple moving average value of k is set at 2. What is the simple moving average root mean square error? Round to two decimal places. Week Units sold 1 88 2 44 3 54 4 65 5 72 6 85 Question content area bottom Part 1 A. 207.13 B. 20.12 C. 14.39 D. 0.21arrow_forward
- The details of the clock sales at a supermarket for the past 6 weeks are shown in the table below. The time series appears to be relatively stable, without trend, seasonal, or cyclical effects. The simple moving average value of k is set at 2. If the smoothing constant is assumed to be 0.7, and setting F1 and F2=A1, what is the exponential smoothing sales forecast for week 7? Round to the nearest whole number. Week Units sold 1 88 2 44 3 54 4 65 5 72 6 85 Question content area bottom Part 1 A. 80 clocks B. 60 clocks C. 70 clocks D. 50 clocksarrow_forwardThe details of the clock sales at a supermarket for the past 6 weeks are shown in the table below. The time series appears to be relatively stable, without trend, seasonal, or cyclical effects. The simple moving average value of k is set at 2. Calculate the value of the simple moving average mean absolute percentage error. Round to two decimal places. Week Units sold 1 88 2 44 3 54 4 65 5 72 6 85 Part 1 A. 14.39 B. 25.56 C. 23.45 D. 20.90arrow_forwardThe accompanying data shows the fossil fuels production, fossil fuels consumption, and total energy consumption in quadrillions of BTUs of a certain region for the years 1986 to 2015. Complete parts a and b. Year Fossil Fuels Production Fossil Fuels Consumption Total Energy Consumption1949 28.748 29.002 31.9821950 32.563 31.632 34.6161951 35.792 34.008 36.9741952 34.977 33.800 36.7481953 35.349 34.826 37.6641954 33.764 33.877 36.6391955 37.364 37.410 40.2081956 39.771 38.888 41.7541957 40.133 38.926 41.7871958 37.216 38.717 41.6451959 39.045 40.550 43.4661960 39.869 42.137 45.0861961 40.307 42.758 45.7381962 41.732 44.681 47.8261963 44.037 46.509 49.6441964 45.789 48.543 51.8151965 47.235 50.577 54.0151966 50.035 53.514 57.0141967 52.597 55.127 58.9051968 54.306 58.502 62.4151969 56.286…arrow_forward
- The accompanying data shows the fossil fuels production, fossil fuels consumption, and total energy consumption in quadrillions of BTUs of a certain region for the years 1986 to 2015. Complete parts a and b. Year Fossil Fuels Production Fossil Fuels Consumption Total Energy Consumption1949 28.748 29.002 31.9821950 32.563 31.632 34.6161951 35.792 34.008 36.9741952 34.977 33.800 36.7481953 35.349 34.826 37.6641954 33.764 33.877 36.6391955 37.364 37.410 40.2081956 39.771 38.888 41.7541957 40.133 38.926 41.7871958 37.216 38.717 41.6451959 39.045 40.550 43.4661960 39.869 42.137 45.0861961 40.307 42.758 45.7381962 41.732 44.681 47.8261963 44.037 46.509 49.6441964 45.789 48.543 51.8151965 47.235 50.577 54.0151966 50.035 53.514 57.0141967 52.597 55.127 58.9051968 54.306 58.502 62.4151969 56.286…arrow_forwardThe accompanying data shows the fossil fuels production, fossil fuels consumption, and total energy consumption in quadrillions of BTUs of a certain region for the years 1986 to 2015. Complete parts a and b. Develop line charts for each variable and identify the characteristics of the time series (that is, random, stationary, trend, seasonal, or cyclical). What is the line chart for the variable Fossil Fuels Production?arrow_forwardThe accompanying data shows the fossil fuels production, fossil fuels consumption, and total energy consumption in quadrillions of BTUs of a certain region for the years 1986 to 2015. Complete parts a and b. Year Fossil Fuels Production Fossil Fuels Consumption Total Energy Consumption1949 28.748 29.002 31.9821950 32.563 31.632 34.6161951 35.792 34.008 36.9741952 34.977 33.800 36.7481953 35.349 34.826 37.6641954 33.764 33.877 36.6391955 37.364 37.410 40.2081956 39.771 38.888 41.7541957 40.133 38.926 41.7871958 37.216 38.717 41.6451959 39.045 40.550 43.4661960 39.869 42.137 45.0861961 40.307 42.758 45.7381962 41.732 44.681 47.8261963 44.037 46.509 49.6441964 45.789 48.543 51.8151965 47.235 50.577 54.0151966 50.035 53.514 57.0141967 52.597 55.127 58.9051968 54.306 58.502 62.4151969 56.286…arrow_forward
- For each of the time series, construct a line chart of the data and identify the characteristics of the time series (that is, random, stationary, trend, seasonal, or cyclical). Month PercentApr 1972 4.97May 1972 5.00Jun 1972 5.04Jul 1972 5.25Aug 1972 5.27Sep 1972 5.50Oct 1972 5.73Nov 1972 5.75Dec 1972 5.79Jan 1973 6.00Feb 1973 6.02Mar 1973 6.30Apr 1973 6.61May 1973 7.01Jun 1973 7.49Jul 1973 8.30Aug 1973 9.23Sep 1973 9.86Oct 1973 9.94Nov 1973 9.75Dec 1973 9.75Jan 1974 9.73Feb 1974 9.21Mar 1974 8.85Apr 1974 10.02May 1974 11.25Jun 1974 11.54Jul 1974 11.97Aug 1974 12.00Sep 1974 12.00Oct 1974 11.68Nov 1974 10.83Dec 1974 10.50Jan 1975 10.05Feb 1975 8.96Mar 1975 7.93Apr 1975 7.50May 1975 7.40Jun 1975 7.07Jul 1975 7.15Aug 1975 7.66Sep 1975 7.88Oct 1975 7.96Nov 1975 7.53Dec 1975 7.26Jan 1976 7.00Feb 1976 6.75Mar 1976 6.75Apr 1976 6.75May 1976…arrow_forwardHi, I need to make sure I have drafted a thorough analysis, so please answer the following questions. Based on the data in the attached image, develop a regression model to forecast the average sales of football magazines for each of the seven home games in the upcoming season (Year 10). That is, you should construct a single regression model and use it to estimate the average demand for the seven home games in Year 10. In addition to the variables provided, you may create new variables based on these variables or based on observations of your analysis. Be sure to provide a thorough analysis of your final model (residual diagnostics) and provide assessments of its accuracy. What insights are available based on your regression model?arrow_forwardI want to make sure that I included all possible variables and observations. There is a considerable amount of data in the images below, but not all of it may be useful for your purposes. Are there variables contained in the file that you would exclude from a forecast model to determine football magazine sales in Year 10? If so, why? Are there particular observations of football magazine sales from previous years that you would exclude from your forecasting model? If so, why?arrow_forward
arrow_back_ios
SEE MORE QUESTIONS
arrow_forward_ios
Recommended textbooks for you
Glencoe Algebra 1, Student Edition, 9780079039897...AlgebraISBN:9780079039897Author:CarterPublisher:McGraw Hill
Holt Mcdougal Larson Pre-algebra: Student Edition...AlgebraISBN:9780547587776Author:HOLT MCDOUGALPublisher:HOLT MCDOUGAL
Big Ideas Math A Bridge To Success Algebra 1: Stu...AlgebraISBN:9781680331141Author:HOUGHTON MIFFLIN HARCOURTPublisher:Houghton Mifflin Harcourt
Glencoe Algebra 1, Student Edition, 9780079039897...
Algebra
ISBN:9780079039897
Author:Carter
Publisher:McGraw Hill
Holt Mcdougal Larson Pre-algebra: Student Edition...
Algebra
ISBN:9780547587776
Author:HOLT MCDOUGAL
Publisher:HOLT MCDOUGAL
Big Ideas Math A Bridge To Success Algebra 1: Stu...
Algebra
ISBN:9781680331141
Author:HOUGHTON MIFFLIN HARCOURT
Publisher:Houghton Mifflin Harcourt
The Shape of Data: Distributions: Crash Course Statistics #7; Author: CrashCourse;https://www.youtube.com/watch?v=bPFNxD3Yg6U;License: Standard YouTube License, CC-BY
Shape, Center, and Spread - Module 20.2 (Part 1); Author: Mrmathblog;https://www.youtube.com/watch?v=COaid7O_Gag;License: Standard YouTube License, CC-BY
Shape, Center and Spread; Author: Emily Murdock;https://www.youtube.com/watch?v=_YyW0DSCzpM;License: Standard Youtube License