Description
The Probability that an employee at a company is female is .36 The probablitity that an employee is a female and married is .19 Find the conditional probability that a randomly selected employee from this company is married given that she is a female
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Explanation & Answer
Probability of random selected employ is married female=P(Female)*P(Married)
=0.36*0.19=0.0684
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20180204220213alg 2b Unit 2 Radical Functions Gizmo Portfolio 1 1
Turn this document into unit 2 Sample Work drop box. The 5 Gizmo questions at the end will be scored for a sample work
20180204220213alg 2b Unit 2 Radical Functions Gizmo Portfolio 1 1
Turn this document into unit 2 Sample Work drop box. The 5 Gizmo questions at the end will be scored for a sample work
STA 3215 RC Inferential Statistics Analytics Hypothesis Tests Excel Worksheet
CompetencyGiven a real-life application, develop a hypothesis test for a population parameter and its interpretation.Instr ...
STA 3215 RC Inferential Statistics Analytics Hypothesis Tests Excel Worksheet
CompetencyGiven a real-life application, develop a hypothesis test for a population parameter and its interpretation.InstructionsScenario (information repeated for deliverable 01, 03, and 04)A major client of your company is interested in the salary distributions of jobs in the state of Minnesota that range from $30,000 to $200,000 per year. As a Business Analyst, your boss asks you to research and analyze the salary distributions. You are given a spreadsheet that contains the following information:A listing of the jobs by titleThe salary (in dollars) for each jobIn prior engagements, you have already explained to your client about the basic statistics and discussed the importance of constructing confidence intervals for the population mean. Your client says that he remembers a little bit about hypothesis testing, but he is a little fuzzy. He asks you to give him the full explanation of all steps in a hypothesis testing and wants your conclusion about a claim that the average salary for all jobs in the state of Minnesota is less than $75,000.Background information on the DataThe data set in the spreadsheet consists of 364 records that you will be analyzing from the Bureau of Labor Statistics. The data set contains a listing of several jobs titles with yearly salaries ranging from approximately $30,000 to $200,000 for the state of Minnesota.What to SubmitYour boss wants you to submit the spreadsheet with the completed calculations. Your research and analysis should be present within the answers provided on the worksheet. Grading RubricFFCBA01234Not SubmittedNo PassCompetenceProficiencyMasteryNot SubmittedDid not correctly solve a majority of the problems or at least one problem left blank.Correctly solved a majority of the problems.Correctly solved almost all the problems.All problems are solved correctly.Not SubmittedVery few steps are provided to explain how to solve the problem OR the steps provided have several errors.Fairly complete and detailed steps are provided to explain how to solve the problem OR the steps provided have some errors.Mostly complete and detailed steps are provided to explain how to solve the problem.Complete and detailed steps are provided to explain how to solve the problem.Not SubmittedExplanations generally lack a basic understanding of the statistical concepts or lack of proper terminology.Explanations demonstrate a basic understanding of most of the statistical concepts and terminology, but some explanations may be incomplete or incorrect.Explanations demonstrate a proficient understanding of most of the statistical concepts and terminology, but with small errors.Explanations demonstrate a mastery of understanding of the statistical concepts and terminology.Not SubmittedThe majority of variables, equations, and expressions are not properly formatted.The majority of variables, equations, and expressions are properly formatted.Almost all variables, equations, and expressions are properly formatted.All variables, equations, and expressions are properly formatted.
2 pages
Week 3 Hypothesis Testing Questions
1. An argument has been made in a widely-cited commentary that "If p < 0.05 is ‘significant,’ then p = 0.067 is not � ...
Week 3 Hypothesis Testing Questions
1. An argument has been made in a widely-cited commentary that "If p < 0.05 is ‘significant,’ then p = 0.067 is not ‘almost significant.’" ...
Northern Star Online Properties of Logarithms and Solving Exponential Equations Problems
You DO NOT need to show your work for these questions unless the question specifically asks you to. Part 6-4: e and Natura ...
Northern Star Online Properties of Logarithms and Solving Exponential Equations Problems
You DO NOT need to show your work for these questions unless the question specifically asks you to. Part 6-4: e and Natural Logarithms 2. Suppose $4449 is invested at 11% compounded continuously for 7 years. What is the annual yield percent to the nearest hundredth? Answer: _____ 3. Suppose $4449 is invested at 11% compounded continuously for 7 years. How much money will be worth after that time? Answer: _____ 6. The population of New Zealand in 1990 was about 3,376,000 with an average growth rate of 2.7%. If this growth rate continues, use the Continuous Change Model to predict New Zealand's population in 2008. Answer: _____ 7. A satellite has a radioisotope power supply, with power output given by P = 73e-t/347 Where t is the time in days and P is the power output in watts. What is the power output to nearest hundredth of a watt at the end of its first year? Answer: _____ 8. A satellite has a radioisotope power supply, with power output given by P = 73e-t/347 Where t is the time in days and P is the power output in watts. When the power output drops below 8 watts, there will be insufficient power to operate the satellite. How many days will the satellite be operational? Answer: _____ 10. Explain HOW you would find the answer to ln e7.1 Answer: _____ Part 6-5: Properties of Logarithms Use the fact that loga 4 = .782 and loga 3 = .654 and the property of logarithms to answer the following for Questions 1- 4.1. Evaluate loga 3/4 =Answer: _____2. Evaluate loga 48 = Report your answer to the thousandth place. Answer: _____ 3. Evaluate loga 27 = Report your answer to the thousandth place. Answer: _____ 4. Evaluate loga 3a4 = Answer: _____ 5. Find an expression for A that does not involve logarithms ln A = 2 ln B - 4 ln C Answer: _____ 6. Write a linear function for log y which is equivalent to y = 400(1.08)x Answer: _____ 7. Write a exponential equation in the form A = c*d^t equivalent to ln A = 1.7t + 8.2 Answer: _____ Part 6-6: Solving Exponential Equations 5. If you invest money at 12.3% compounded continuously. How many years, to nearest tenth, will it take to double? Answer: _____ 6. Which expression(s) could be entered into your calculator to produce a graph of y = log7 x Select one or more:a. y = log 7/log xb. y = log x/log 7c. y = ln 7/ln xd. y = x/7e. y = ln x/ln 7 Answer: _____
Business Analytics
In this assignment, you will be assessed based on the following outcome: GB513-3: Predict business results by using quanti ...
Business Analytics
In this assignment, you will be assessed based on the following outcome: GB513-3: Predict business results by using quantitative methods. Make sure to use the Unit 4 Assignment template to turn in your answers. This assignment requires you to use Excel in all three questions. Make sure you explain your answers and provide the regression output tables for Questions 1 and 2 as you are showing work in the template (see attached). You still need to submit the Excel file you used to generate your answers, in addition to the report in Word. Failure to submit the Excel file will result in a 20 point deduction.Question 1 Shown below are rental and leasing revenue figures for office machinery and equipment in the United States over a 7-year period according to the U.S. Census Bureau. Use this data and the regression tool in the data analysis tool pack to run a linear regression. Based on the formula you get from the regression output, answer the following questions: a)What is the forecast for the rental and leasing revenue for the year 2011? b)How confident are you in this forecast? Explain your answer by citing the relevant metrics. Do not just put down a number without explanation.Year Rental and Leasing ($ millions) 2004 5,8602005 6,6322006 6,5432007 5,9522008 5,7322009 5,4232010 4,589Question 2 Suppose a researcher gathered survey data from 19 employees and asked the employees to rate their job satisfaction on a scale from 0 to 100 (with 100 being perfectly satisfied). Suppose the following data represent the results of this survey. Assume that relationship with their supervisor is rated on a scale from 0 to 50 (0 represents a poor relationship and 50 represents an excellent relationship); overall quality of the work environment is rated on a scale from 0 to 100 (0 represents poor work environment and 100 represents an excellent work environment); and opportunities for advancement is rated on a scale from 0 to 100 (0 represents no opportunities and 100 represents excellent opportunities). Answer the following questions: a)What is the regression formula based on the results from your regression? b)How reliable do you think the estimates will be based on this formula? Explain your answer by citing the relevant metrics. Do not just put down a number without explanation.c)Are there any variables that do not appear to be good predictors of job satisfaction? How can you tell? d)If a new employee reports that her relationship with her supervisor is 40, rates her opportunities for advancement to be at 30, finds the quality of the work environment to be at 75, and works 60 hours per week, what would you expect her job satisfaction score to be? Job satisfaction Relationship with supervisor Opportunities for advancement Overall quality of work environment Total hours worked per week 55 27 42 50 52 20 35 28 60 60 85 40 7 45 42 65 35 48 65 53 45 29 32 40 58 70 42 41 50 48 35 22 18 75 55 60 34 32 40 50 95 40 48 45 40 65 33 11 60 38 85 38 33 55 47 10 5 21 50 62 75 37 42 45 43 80 37 46 40 42 50 31 48 60 46 90 42 30 55 38 75 36 39 70 43 45 20 22 40 42 65 32 12 55 53 Question 3 Investment analysts generally believe the interest rate on bonds is related to the prime interest rate for loans. Run a simple linear regression using the data analysis tool pack. Do you think the bond rate can be predicted by the prime interest rate? Justify your answer using the relevant metrics. Prime interest rateBond rate0.050.280.120.380.090.220.0150.140.0040.050.110.440.060.280.020.105 Directions for submitting your Assignment Make sure to use the Unit 4 Assignment template from Course Documents when you turn in your answers. Submit your assignment to the Unit 4 Dropbox.In all assignments, your answers must be justified by referencing the appropriate figures, metrics and charts. Your work is evaluated on this justification that demonstrates your understanding of the concepts. Just putting down the correct response without justification is not sufficient. Grading Rubric Your assignment will be graded based on the following breakdown. Unit 4 AssignmentCriteriaPoints PossiblePoints EarnedQuestion 1a2011 forecast for rental and leasing revenue is accurate. 6 Question 1bAppropriate analysis of the reliability of forecast based on this formula. 6 Question 2aCorrect regression formula. 5 Question 2bAppropriate analysis of the reliability of estimates based on this formula. 5 Question 2cAppropriate analysis of whether there are any variables that do not appear to be good predictors. 5 Question 2dCorrect expected job satisfaction score. 5 Question 3aConstructed a scatter graph and included a regression line. 6 Question 3bAppropriate analysis of whether a bond rate could be predicted by the prime interest rate. 7 Properly completed assignment template. 5 Total50
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20180204220213alg 2b Unit 2 Radical Functions Gizmo Portfolio 1 1
Turn this document into unit 2 Sample Work drop box. The 5 Gizmo questions at the end will be scored for a sample work
20180204220213alg 2b Unit 2 Radical Functions Gizmo Portfolio 1 1
Turn this document into unit 2 Sample Work drop box. The 5 Gizmo questions at the end will be scored for a sample work
STA 3215 RC Inferential Statistics Analytics Hypothesis Tests Excel Worksheet
CompetencyGiven a real-life application, develop a hypothesis test for a population parameter and its interpretation.Instr ...
STA 3215 RC Inferential Statistics Analytics Hypothesis Tests Excel Worksheet
CompetencyGiven a real-life application, develop a hypothesis test for a population parameter and its interpretation.InstructionsScenario (information repeated for deliverable 01, 03, and 04)A major client of your company is interested in the salary distributions of jobs in the state of Minnesota that range from $30,000 to $200,000 per year. As a Business Analyst, your boss asks you to research and analyze the salary distributions. You are given a spreadsheet that contains the following information:A listing of the jobs by titleThe salary (in dollars) for each jobIn prior engagements, you have already explained to your client about the basic statistics and discussed the importance of constructing confidence intervals for the population mean. Your client says that he remembers a little bit about hypothesis testing, but he is a little fuzzy. He asks you to give him the full explanation of all steps in a hypothesis testing and wants your conclusion about a claim that the average salary for all jobs in the state of Minnesota is less than $75,000.Background information on the DataThe data set in the spreadsheet consists of 364 records that you will be analyzing from the Bureau of Labor Statistics. The data set contains a listing of several jobs titles with yearly salaries ranging from approximately $30,000 to $200,000 for the state of Minnesota.What to SubmitYour boss wants you to submit the spreadsheet with the completed calculations. Your research and analysis should be present within the answers provided on the worksheet. Grading RubricFFCBA01234Not SubmittedNo PassCompetenceProficiencyMasteryNot SubmittedDid not correctly solve a majority of the problems or at least one problem left blank.Correctly solved a majority of the problems.Correctly solved almost all the problems.All problems are solved correctly.Not SubmittedVery few steps are provided to explain how to solve the problem OR the steps provided have several errors.Fairly complete and detailed steps are provided to explain how to solve the problem OR the steps provided have some errors.Mostly complete and detailed steps are provided to explain how to solve the problem.Complete and detailed steps are provided to explain how to solve the problem.Not SubmittedExplanations generally lack a basic understanding of the statistical concepts or lack of proper terminology.Explanations demonstrate a basic understanding of most of the statistical concepts and terminology, but some explanations may be incomplete or incorrect.Explanations demonstrate a proficient understanding of most of the statistical concepts and terminology, but with small errors.Explanations demonstrate a mastery of understanding of the statistical concepts and terminology.Not SubmittedThe majority of variables, equations, and expressions are not properly formatted.The majority of variables, equations, and expressions are properly formatted.Almost all variables, equations, and expressions are properly formatted.All variables, equations, and expressions are properly formatted.
2 pages
Week 3 Hypothesis Testing Questions
1. An argument has been made in a widely-cited commentary that "If p < 0.05 is ‘significant,’ then p = 0.067 is not � ...
Week 3 Hypothesis Testing Questions
1. An argument has been made in a widely-cited commentary that "If p < 0.05 is ‘significant,’ then p = 0.067 is not ‘almost significant.’" ...
Northern Star Online Properties of Logarithms and Solving Exponential Equations Problems
You DO NOT need to show your work for these questions unless the question specifically asks you to. Part 6-4: e and Natura ...
Northern Star Online Properties of Logarithms and Solving Exponential Equations Problems
You DO NOT need to show your work for these questions unless the question specifically asks you to. Part 6-4: e and Natural Logarithms 2. Suppose $4449 is invested at 11% compounded continuously for 7 years. What is the annual yield percent to the nearest hundredth? Answer: _____ 3. Suppose $4449 is invested at 11% compounded continuously for 7 years. How much money will be worth after that time? Answer: _____ 6. The population of New Zealand in 1990 was about 3,376,000 with an average growth rate of 2.7%. If this growth rate continues, use the Continuous Change Model to predict New Zealand's population in 2008. Answer: _____ 7. A satellite has a radioisotope power supply, with power output given by P = 73e-t/347 Where t is the time in days and P is the power output in watts. What is the power output to nearest hundredth of a watt at the end of its first year? Answer: _____ 8. A satellite has a radioisotope power supply, with power output given by P = 73e-t/347 Where t is the time in days and P is the power output in watts. When the power output drops below 8 watts, there will be insufficient power to operate the satellite. How many days will the satellite be operational? Answer: _____ 10. Explain HOW you would find the answer to ln e7.1 Answer: _____ Part 6-5: Properties of Logarithms Use the fact that loga 4 = .782 and loga 3 = .654 and the property of logarithms to answer the following for Questions 1- 4.1. Evaluate loga 3/4 =Answer: _____2. Evaluate loga 48 = Report your answer to the thousandth place. Answer: _____ 3. Evaluate loga 27 = Report your answer to the thousandth place. Answer: _____ 4. Evaluate loga 3a4 = Answer: _____ 5. Find an expression for A that does not involve logarithms ln A = 2 ln B - 4 ln C Answer: _____ 6. Write a linear function for log y which is equivalent to y = 400(1.08)x Answer: _____ 7. Write a exponential equation in the form A = c*d^t equivalent to ln A = 1.7t + 8.2 Answer: _____ Part 6-6: Solving Exponential Equations 5. If you invest money at 12.3% compounded continuously. How many years, to nearest tenth, will it take to double? Answer: _____ 6. Which expression(s) could be entered into your calculator to produce a graph of y = log7 x Select one or more:a. y = log 7/log xb. y = log x/log 7c. y = ln 7/ln xd. y = x/7e. y = ln x/ln 7 Answer: _____
Business Analytics
In this assignment, you will be assessed based on the following outcome: GB513-3: Predict business results by using quanti ...
Business Analytics
In this assignment, you will be assessed based on the following outcome: GB513-3: Predict business results by using quantitative methods. Make sure to use the Unit 4 Assignment template to turn in your answers. This assignment requires you to use Excel in all three questions. Make sure you explain your answers and provide the regression output tables for Questions 1 and 2 as you are showing work in the template (see attached). You still need to submit the Excel file you used to generate your answers, in addition to the report in Word. Failure to submit the Excel file will result in a 20 point deduction.Question 1 Shown below are rental and leasing revenue figures for office machinery and equipment in the United States over a 7-year period according to the U.S. Census Bureau. Use this data and the regression tool in the data analysis tool pack to run a linear regression. Based on the formula you get from the regression output, answer the following questions: a)What is the forecast for the rental and leasing revenue for the year 2011? b)How confident are you in this forecast? Explain your answer by citing the relevant metrics. Do not just put down a number without explanation.Year Rental and Leasing ($ millions) 2004 5,8602005 6,6322006 6,5432007 5,9522008 5,7322009 5,4232010 4,589Question 2 Suppose a researcher gathered survey data from 19 employees and asked the employees to rate their job satisfaction on a scale from 0 to 100 (with 100 being perfectly satisfied). Suppose the following data represent the results of this survey. Assume that relationship with their supervisor is rated on a scale from 0 to 50 (0 represents a poor relationship and 50 represents an excellent relationship); overall quality of the work environment is rated on a scale from 0 to 100 (0 represents poor work environment and 100 represents an excellent work environment); and opportunities for advancement is rated on a scale from 0 to 100 (0 represents no opportunities and 100 represents excellent opportunities). Answer the following questions: a)What is the regression formula based on the results from your regression? b)How reliable do you think the estimates will be based on this formula? Explain your answer by citing the relevant metrics. Do not just put down a number without explanation.c)Are there any variables that do not appear to be good predictors of job satisfaction? How can you tell? d)If a new employee reports that her relationship with her supervisor is 40, rates her opportunities for advancement to be at 30, finds the quality of the work environment to be at 75, and works 60 hours per week, what would you expect her job satisfaction score to be? Job satisfaction Relationship with supervisor Opportunities for advancement Overall quality of work environment Total hours worked per week 55 27 42 50 52 20 35 28 60 60 85 40 7 45 42 65 35 48 65 53 45 29 32 40 58 70 42 41 50 48 35 22 18 75 55 60 34 32 40 50 95 40 48 45 40 65 33 11 60 38 85 38 33 55 47 10 5 21 50 62 75 37 42 45 43 80 37 46 40 42 50 31 48 60 46 90 42 30 55 38 75 36 39 70 43 45 20 22 40 42 65 32 12 55 53 Question 3 Investment analysts generally believe the interest rate on bonds is related to the prime interest rate for loans. Run a simple linear regression using the data analysis tool pack. Do you think the bond rate can be predicted by the prime interest rate? Justify your answer using the relevant metrics. Prime interest rateBond rate0.050.280.120.380.090.220.0150.140.0040.050.110.440.060.280.020.105 Directions for submitting your Assignment Make sure to use the Unit 4 Assignment template from Course Documents when you turn in your answers. Submit your assignment to the Unit 4 Dropbox.In all assignments, your answers must be justified by referencing the appropriate figures, metrics and charts. Your work is evaluated on this justification that demonstrates your understanding of the concepts. Just putting down the correct response without justification is not sufficient. Grading Rubric Your assignment will be graded based on the following breakdown. Unit 4 AssignmentCriteriaPoints PossiblePoints EarnedQuestion 1a2011 forecast for rental and leasing revenue is accurate. 6 Question 1bAppropriate analysis of the reliability of forecast based on this formula. 6 Question 2aCorrect regression formula. 5 Question 2bAppropriate analysis of the reliability of estimates based on this formula. 5 Question 2cAppropriate analysis of whether there are any variables that do not appear to be good predictors. 5 Question 2dCorrect expected job satisfaction score. 5 Question 3aConstructed a scatter graph and included a regression line. 6 Question 3bAppropriate analysis of whether a bond rate could be predicted by the prime interest rate. 7 Properly completed assignment template. 5 Total50
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