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Solution Manual for Essentials of Business Analytics 3rd Edition

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Solution Manual for Essentials of Business Analytics 3rd Edition by Camm

CHAPTER 1 SM NOT EXISTENT
Chapter 2

Descriptive Statistics

 

Case Problem:  Heavenly Chocolates Website Traffic

 

  1. Descriptive statistics for the time spent on the website, number of pages viewed, and amount spent are shown below.

 

Time (min) Pages Viewed Amount Spent ($)
Mean 12.8 4.8 68.13
Median 11.4 4.5 62.15
Standard Deviation 6.06 2.04 32.34
Range 28.6 8 140.67
Minimum 4.3 2 17.84
Maximum 32.9 10 158.51
Sum 640.5 241 3406.41

 

The mean time a shopper is on the Heavenly Chocolates website is 12.8 minutes, with a minimum time of 4.3 minutes and a maximum time of 32.9 minutes.  The following histogram demonstrates that the data are skewed to the right.

 

The meannumber of pages viewed during a visit is 4.8 pages with a minimun of 2 pages and a maximum of 10 pages A histogram of the number of pages viewed indicates that the data are slightly skewed to the right.

 

 

 

The mean amount spent for an on-line shopper is $68.13 with a minimum amount spent of $17.84 and a maximum amount spent of $158.51.  The following histogram indicates that the data are skewed to the right.

 

 

  1. Summary by Day of Week

 

Day of Week Frequency Total Amount Spent ($) Average Amount Spent ($)
Sunday 5 218.15 43.63
Monday 9 813.38 90.38
Tuesday 7 414.86 59.27
Wednesday 6 341.82 56.97
Thursday 5 294.03 58.81
Friday 11 945.43 85.95
Saturday 7 378.74 54.11
Total 50 3406.41 68.13

 

The above summary shows that Monday and Friday are the best days in terms of both the total amount spent and the averge amount spent per transaction. Friday had the most purchases (11) and the highest value for total amount spent ($945.43). Monday, with nine transactions, had the highest average amount spent per transaction ($90.38).  Sunday was the worst sales day of the week in terms of number of transactions (5), total amount spent ($218.15), and average amount spent per transaction ($43.63). However, the sample size for each day of the week are very small, with only Friday having more than ten transactions. We would suggest a larger sample size be taken before recommending any specific stratgegy based on the day of week statistics.

 

  1. Summary by Type of Browser

 

Browser Frequency Total Amount Spent ($) Average Amount Spent ($)
Firefox 16 1228.21 76.76
Chrome 27 1656.81 61.36
Other 7 521.39 74.48

 

Chrome was used by 27 of the 50 shoppers (54%).But, the average amount spent spent bycustomers who used Chrome ($61.36)is less than the average amount spent by customers who used Firefox ($76.76) or some other type of browser ($74.48). This result would suggest targeting special promotion offers to Firefox users or users of other types of browsers. But, before recommending  any specific strategies based upon the type of browser, we would suggest taking a larger smaple size.

 

  1. A scatter diagram showing the relationship between time spent on the website and the amount spent follows:

 

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DescriptionEdition: 3rd Edition Format: Downloadable ZIP Fille Resource Type: Solution manual Duration: Unlimited downloads Delivery: Instant DownloadEdition: 2nd Edition Format: Downloadable ZIP Fille Resource Type: Solution manual Duration: Unlimited downloads Delivery: Instant DownloadEdition: 17th Edition Format: Downloadable ZIP Fille Resource Type: Solution manual Duration: Unlimited downloads Delivery: Instant DownloadEdition: 4th Edition Format: Downloadable ZIP Fille Resource Type: Solution manual Duration: Unlimited downloads Delivery: Instant DownloadEdition: 3rd Edition Format: Downloadable ZIP Fille Resource Type: Solution manual Duration: Unlimited downloads Delivery: Instant DownloadBy: Varcarolis Edition: 3rd Edition Format: Downloadable ZIP Fille Resource Type: Test bank Duration: Unlimited downloads Delivery: Instant Download
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Solution Manual for Essentials of Business Analytics 3rd Edition by Camm

CHAPTER 1 SM NOT EXISTENT Chapter 2
Descriptive Statistics   Case Problem:  Heavenly Chocolates Website Traffic  
  1. Descriptive statistics for the time spent on the website, number of pages viewed, and amount spent are shown below.
 
Time (min) Pages Viewed Amount Spent ($)
Mean 12.8 4.8 68.13
Median 11.4 4.5 62.15
Standard Deviation 6.06 2.04 32.34
Range 28.6 8 140.67
Minimum 4.3 2 17.84
Maximum 32.9 10 158.51
Sum 640.5 241 3406.41
  The mean time a shopper is on the Heavenly Chocolates website is 12.8 minutes, with a minimum time of 4.3 minutes and a maximum time of 32.9 minutes.  The following histogram demonstrates that the data are skewed to the right.   The meannumber of pages viewed during a visit is 4.8 pages with a minimun of 2 pages and a maximum of 10 pages A histogram of the number of pages viewed indicates that the data are slightly skewed to the right.       The mean amount spent for an on-line shopper is $68.13 with a minimum amount spent of $17.84 and a maximum amount spent of $158.51.  The following histogram indicates that the data are skewed to the right.    
  1. Summary by Day of Week
 
Day of Week Frequency Total Amount Spent ($) Average Amount Spent ($)
Sunday 5 218.15 43.63
Monday 9 813.38 90.38
Tuesday 7 414.86 59.27
Wednesday 6 341.82 56.97
Thursday 5 294.03 58.81
Friday 11 945.43 85.95
Saturday 7 378.74 54.11
Total 50 3406.41 68.13
  The above summary shows that Monday and Friday are the best days in terms of both the total amount spent and the averge amount spent per transaction. Friday had the most purchases (11) and the highest value for total amount spent ($945.43). Monday, with nine transactions, had the highest average amount spent per transaction ($90.38).  Sunday was the worst sales day of the week in terms of number of transactions (5), total amount spent ($218.15), and average amount spent per transaction ($43.63). However, the sample size for each day of the week are very small, with only Friday having more than ten transactions. We would suggest a larger sample size be taken before recommending any specific stratgegy based on the day of week statistics.  
  1. Summary by Type of Browser
 
Browser Frequency Total Amount Spent ($) Average Amount Spent ($)
Firefox 16 1228.21 76.76
Chrome 27 1656.81 61.36
Other 7 521.39 74.48
  Chrome was used by 27 of the 50 shoppers (54%).But, the average amount spent spent bycustomers who used Chrome ($61.36)is less than the average amount spent by customers who used Firefox ($76.76) or some other type of browser ($74.48). This result would suggest targeting special promotion offers to Firefox users or users of other types of browsers. But, before recommending  any specific strategies based upon the type of browser, we would suggest taking a larger smaple size.  
  1. A scatter diagram showing the relationship between time spent on the website and the amount spent follows:
 

Solution Manual for Business Statistics 2nd Edition by Jaggia

Chapter 1. Statistics and Data Solutions
    1. The population is all iPhone 4 users.
    2. Sample statistics
 
  1. The value 35 is the estimated average age of the population. It is both costly and time consuming (likely impossible) to take a census of all video game players and compute the actual average age.
 
    1. The population is all students enrolled in the accounting class.
    2. The value 3.29 represents the population parameter since we are not choosing a sample but drawing results from the actual population.
 
    1. The population is all marketing managers.
    2. No, the average salary is a sample statistic computed from a sample, not the population.
 
    1. The population is all elderly people. The sample consists of 949 elderly people.
    2. 22% and 17% represent the sample statistics.
   
Date Adj. Close Price
Dec 10 $593.97
Nov 10 $555.71
Oct 10 $613.70
Sep  10 $525.79
Aug 10 $450.02
Jul   10 $484.85
Jun  10 $444.95
May 10 $485.63
Apr  10 $525.70
Mar 10 $567.12
Feb  10 $526.80
Jan  10 $529.94
Source: Monthly Adj Close Price in 2010 from Retrieved April 19, 2011.   These numbers represent time series data. The adjusted close price of the stock was rather volatile, with a 12-month high in October and 12-month low in June.    
  1. Note: Individual answers will vary. This is an example of what an answer may look like.
Accommodation Monthly Expenses
Dorm $435
Dorm $480
Rental $505
Other $50
Rental $600
Dorm $425
Rental $525
Other $550
Other $325
Dorm $385
Rental $475
Dorm $400
Dorm $485
Rental $485
Other $475
Dorm $425
Rental $500
Dorm $375
Rental $625
Other $350
  This data is cross-sectional data because it can be assumed to be taken at the same point in time. The monthly lodging expenses ranges from a low of $50 to a high of $625. The average expense is $443.75.

Solution Manual for Statistical Techniques in Business and Economics, 17th Edition

Statistical Techniques in Business Other ISBNs of this Book: Statistical Techniques in Business and EconomicsISBN10: 1259924084 | ISBN13: 9781259924088 Statistical Techniques in Business and EconomicsISBN10: 1260152642 | ISBN13: 9781260152647 Statistical Techniques in Business and EconomicsISBN10: 1260044750 | ISBN13: 9781260044751 Contents 1. What Is Statistics? 2. Describing Data: Frequency Tables, Frequency Distributions, and Graphic Presentation 3. Describing Data: Numerical Measures 4. Describing Data: Displaying and Exploring Data 5. A Survey of Probability Concepts 6. Discrete Probability Distributions 7. Continuous Probability Distributions 8. Sampling Methods and the Central Limit Theorem 9. Estimation and Confidence Intervals 10. One-Sample Tests of Hypothesis 11. Two-Sample Tests of Hypothesis 12. Analysis of Variance 13. Correlation and Linear Regression 14. Multiple Regression Analysis 15. Nonparametric Methods: Nominal Level Hypothesis Tests 16. Nonparametric Methods: Analysis of Ordinal Data 17. Index Numbers 18. Time Series and Forecasting 19. Statistical Process Control and Quality Management 20. An Introduction to Decision Theory

Solution Manual for The Practice of Statistics for Business and Economics 4th Edition by Moore

Chapter 1: Examining Distributions Practice of Statistics for Business and Economics  1.1 The value of the coupon is computed by subtracting the DiscPrice from the RegPrice. It is quantitative because arithmetic operations, like the average value, would make sense. 1.2 The regular price for the Smokey Grill Ribs coupon is 20, the discount price is 11. 1.3 Who: The cases are coupons, there are 7 cases. What: There are 6 variables—ID, Type, Name, Item, RegPrice, and DiscPrice. Only RegPrice and DiscPrice have units in dollars. Why: The data might be used to compare coupons to one another to see which are better. We would not want to draw conclusions about other coupons not listed. 1.4 The cases are apartments. There are 5 variables: Monthly rent-quantitative, Fitness center-categorical, Pets allowed-categorical, # of Bedrooms-quantitative, Distance to campus-quantitative. 1.5 (a) If you were interested in attending a large college, you would want to know the number of graduates. (b) If you were interested in making sure you graduate, you would want to know the graduation rate. 1.6 (a) The cases are summer jobs. (b) Variables might include: position, company, hourly wage, whether the job is on or off campus, hours per week, other answers are possible. (c) position—categorical, company-categorical, hourly wage-quantitative, on or off campus-categorical, hours per weekquantitative, other answers are possible. (d) We could use a number as a label. The reason for doing so is there could be several jobs with the same company or position that you would need to differentiate from one another. (e) Who: part (a) answer, What: part (b) and (c), Why: To compile a list of available summer jobs and possibly compare them. We would not want to draw conclusions about other jobs not listed. 1.7 (a) The cases are employees. (b) Employee identification number—label, last name—label, first name—label, middle initial—label, department—categorical, number of years—quantitative, salary— quantitative, education—categorical, age—quantitative. (c) Sample data would vary. 1.8 Answers will vary. 1.9 (a) Quantitative. (b) Quantitative. (c) Quantitative. (d) Quantitative. (e) Categorical. (f) Categorical. For all quantitative variables, numerical summaries would be meaningful; for categorical variables, numerical summaries are NOT meaningful. 2 Chapter 1 Examining Distributions 1.10 Answers will vary. 1. Rate the customer service of the restaurant—quantitative 2. Is this your first visit to our restaurant—categorical 3. If not, how many times per month do you visit our restaurant— quantitative 4. Would you recommend our restaurant to a friend—categorical 5. Do you think our dish prices are expensive, about right, inexpensive—categorical 6. Rate the taste quality of food you ate today—quantitative. For all quantitative variables numerical summaries would be meaningful, for categorical variables, numerical summaries are NOT meaningful. 1.11 Answers will vary. 1. How many hours per week do you study—quantitative, hours 2. How many nights per week do you study usually—quantitative, nights 3. Do you usually study alone or with others—categorical 3. Do you feel like you study too much, about right, not enough—categorical. 1.12 Answers and reasons will vary. Examples include: current enrollment, average time to graduate, graduation rate, job placement percentage, etc. 1.13 (a) The states are the cases. (b) The name of the state is the label variable. (c) Number of students from the state who attend college—quantitative, number of students who attend college in their home state—quantitative. (d) Answers will vary. This would tell you which states have large percentages of students that like to stay “at home” versus small percentages, which indicate students’ preference to leave home to attend college. 1.14 Each state could be divided as a percentage of the total of the nation’s fatalities to show state differences; the disadvantage is that states with more population would have a higher number of fatalities. Instead, each state’s fatalities could be divided by the state population to get a percentage for each state; this would be a better way to compare state-to-state rates of drunk driving fatalities. 1.15 Answers may vary. The pie chart does a better job because it shows the dominance of Google as a source, filling almost three-quarters of the pie. 1.16 Answers may vary. It is probably a good idea to round; most of the time we just need an idea of what the data are telling us. 1.17 The Cost Centers would include, Parts and materials, Manufacturing equipment, Salaries, Maintenance, and Office lease. We need to include Office lease even though it gives more than 80%, because otherwise we would only have the top 75% according to the data. So, to get the other 5%, we need to put Office lease in, giving us 82.12% total.

Solution Manual for Business Statistics 3rd Edition by Jaggia

Chapter 01 - Statistics and Data 1-1 Solution Manual for Business Statistics  © 2019 by McGraw-Hill Education. This is proprietary material solely for authorized instructor use. Not authorized for sale or distribution in any manner. This document may not be copied, scanned, duplicated, forwarded, distributed, or posted on a website, in whole or part. Chapter 1. Statistics and Data Solutions 1. a. The population is all iPhone 4 users. b. Sample statistics 2. The value 35 is the estimated average age of the population. It is both costly and time consuming (likely impossible) to take a census of all video game players and compute the actual average age. 3. a. The population is all students enrolled in the accounting class. b. The value 3.29 represents the population parameter since we are not choosing a sample but drawing results from the actual population. 4. a. The population is all marketing managers. b. No, the average salary is a sample statistic computed from a sample, not the population. 5. a. The population is all elderly people. The sample consists of 949 elderly people. b. 22% and 17% represent the sample statistics. Chapter 01 - Statistics and Data 1-2 © 2019 by McGraw-Hill Education. This is proprietary material solely for authorized instructor use. Not authorized for sale or distribution in any manner. This document may not be copied, scanned, duplicated, forwarded, distributed, or posted on a website, in whole or part. 6. Date Adj. Close Price 1/4/2016 27.99 2/1/2016 28.26 3/1/2016 30.83 4/1/2016 29.82 5/2/2016 29.31 6/1/2016 30.76 7/1/2016 30.43 8/1/2016 30.52 9/1/2016 29.17 10/3/2016 28.65 11/1/2016 30.29 12/1/2016 31.35 Source: Monthly Adj Close Price in 2016 from http://www.finance.yahoo.com. Retrieved March 19, 2017. These numbers represent time series data. The adjusted close price of the stock grew over this 12-month period, ranging from a low of $27.99 in January and increasing to $31.35 by December. 7. Note: Individual answers will vary. This is an example of what an answer may look like. Accommodation Monthly Expenses Dorm $435 Dorm $480 Rental $505 Other $50 Rental $600 Dorm $425 Rental $525 Other $550 Other $325 Dorm $385 Rental $475 Dorm $400 Dorm $485 Rental $485 Other $475 Dorm $425 Rental $500 Dorm $375 Rental $625 Other $350 Chapter 01 - Statistics and Data 1-3 © 2019 by McGraw-Hill Education. This is proprietary material solely for authorized instructor use. Not authorized for sale or distribution in any manner. This document may not be copied, scanned, duplicated, forwarded, distributed, or posted on a website, in whole or part. This data is cross-sectional data because it can be assumed to be taken at the same point in time. The monthly lodging expenses ranges from a low of $50 to a high of $625. The average expense is $443.75. 8. Note: The data for this website changes regularly. Therefore, individual answers will differ depending on the date the data is retrieved. This is an example of what the table may look like: Homes Price Number of Beds Square Feet Built 1 $374,900.00 3 3073 2004 2 $112,000.00 4 1788 2005 3 $190,000.00 3 1467 2009 4 $160,000.00 4 1891 2000 5 $30,000.00 3 1026 1977 6 $317,000.00 4 3465 2004 7 $62,000.00 3 1362 1973 8 $120,000.00 3 2005 2002 9 $289,324.00 3 1705 2008 10 $355,000.00 4 3648 2001 11 $65,000.00 2 1296 1976 12 $33,000.00 4 1696 1987 13 $110,000.00 3 1376 2000 14 $310,000.00 5 3716 2001 15 $75,000.00 3 1230 2004 16 $60,000.00 3 1285 2004 17 $140,000.00 4 2217 2003 18 $178,000.00 4 1967 1998 19 $226,000.00 1 533 2006 20 $128,000.00 3 1483 2006 Source: http://zillow.com/; Retrieved August 20, 2012. The data above is cross-sectional data. The data represents characteristics of homes sold at approximately the same time of the year. 9. DATE GPSAVE Q1.2012 3631.8 Q2.2012 3667.5 Q3.2012 3653.8 Q4.2012 3750.2 Q1.2013 3417.8 Q2.2013 3252.1 Chapter 01 - Statistics and Data 1-4 The Morningstar’s based rating system is measured on an ordinal scale. The values can be ranked and categorized but the differences between ranks are meaningless. The data shows that 25 of the 30 (approximately 83%) of the companies have a two or three-star rating. Only 5 of the 30 companies have a four-star rating. None of the companies has a one-star or a five-star rating. c. The Stock Price data is measured on a ratio scale. This type of scale is the strongest form of measurement. There is a true zero point which allows for the calculation of meaningful ratios between values.

Test Bank for Essentials of Psychiatric Mental Health Nursing 3rd Edition by Varcarolis

Table of Contents

Unit I: Essential Theoretical Concepts for Practice 1. Practicing the Science and the Art of Psychiatric Nursing 2. Mental Health and Mental Illness 3. Theories and Therapies 4. Biological Basis for Understanding Psychopharmacology 5. Settings for Psychiatric Care 6. Legal and Ethical Basis for Practice Unit II: Tools for Practice of the Art 7. Nursing Process and QSEN: The Foundation for Safe and Effective Care 8. Skills: Medium for All Nursing Practice 9. Therapeutic Relationships and the Clinical Interview Unit III: Caring for Patients with Psychobiological Disorders 10. Stress and Stress-Related Disorders 11. Anxiety, Anxiety Disorders, and Obsessive-Compulsive Disorders 12. Somatic Symptom Disorders and Related Disorders 13. Personality Disorders 14. Eating Disorders 15. Mood Disorders: Depression 16. Bipolar Spectrum Disorders 17. Schizophrenia Spectrum Disorders and Other Psychotic Disorders 18. Neurocognitive Disorders 19. Substance-Related and Addictive Disorders Unit IV: Caring for Patients Experiencing Psychiatric Emergencies 20. Crisis and Mass Disaster 21. Child, Partner, and Elder Violence 22. Sexual Violence 23. Suicidal Thoughts and Behaviors 24. Anger, Aggression, and Violence 25. Care for the Dying and Those Who Grieve Unit V: Age-Related Mental Health Disorders 26. Children and Adolescents 27. Adults 28. Older Adults  
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