-Analyze real-world business problems and generate recommendations for action.-I

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-Analyze real-world business problems and generate recommendations for action.-Integrate accounting, marketing, finance, management, and economics into a strategic business analysis.-Assess the impact of the global business environment on business situations.- Apply quantitative methods of analysis of business situations.-Perform ethically and professionally in business and society.-Communicate effectively to relevant audiences orally and in written materials.-Collaborate in teams to produce required deliverables.-Apply project management skills to business situations.-Assess the ethical implications of actions for diverse stakeholders.

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Review Test Submission: Quiz4 Course QMBLC Summer14Test Quiz4 Question 1 Shown

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Review Test Submission: Quiz4 Course QMBLC Summer14Test Quiz4 Question 1 Shown below is a portion of an Excel output for regression analysis relating Y (dependent variable) and X (independent variable). The percent of the variability in the prediction of Y that can be attributed to the variable X Regression StatisticsMultiple R 0.7732R Square 0.5978Adjusted R Square 0.5476Standard Error 3.0414Observations 10ANOVA df SS MS F Significance FRegression 1 110 110 11.892 0.009Residual 8 74 9.25 Total 9 184 Coefficients Standard Error t Stat P-valueIntercept 39.222 5.942 6.600 0.000X -0.556 0.161 -3.448 0.009 Question 2 Shown below is a portion of an Excel output for regression analysis relating Y (dependent variable) and X (independent variable). Is this model significant at the 0.05 level? Regression StatisticsMultiple R 0.1347R Square 0.0181Adjusted R Square -0.0574Standard Error 3.384Observations 15ANOVA df SS MS F Significance FRegression 1 2.750 2.75 0.2402 0.6322Residual 13 148.850 11.45 Total 14 151.600 Coefficients Standard Error t Stat p-valueIntercept 8.6 2.2197 3.8744 0.0019X 0.25 0.5101 0.4901 0.6322 Question 3 A regression analysis between sales and price resulted in the following equation Y=50,000 – 8000XThe above equation implies that an Question 4 The actual demand for a product and the forecast for the product are shown below. Calculate the MAD.Observation Actual Demand (A) Forecast (F)1 35 —2 30 353 26 304 34 265 28 346 38 28 Question 5 Below you are given the first two values of a time series. You are also given the first two values of the exponential smoothing forecast.Time Period (t) Time Series Value (Y t) Exponential SmoothingForecast (F t)1 22 222 26 22If the smoothing constant equals .3, then the exponential smoothing forecast for time period three is Question 6 What is the forecast for June based on a three-month weighted moving average applied to the following past demand data and using the weights: .5, .3, and .2 (largest weight is for the most recent data)? Month Demand ForecastJanuary 40 February 45 March 57 April 60 May 75 June 87 Question 7 The following time series shows the number of units of a particular product sold over the past six months. Compute the MSE for the 3-month moving average.Month Units Sold(Thousands)1 82 33 44 55 126 10 Question 8 Given an actual demand of 61, forecast of 58, and an alpha factor of .2, what would the forecast for the next period be using simple exponential smoothing?Review Test Submission: Quiz4 Course QMBLC Summer14Test Quiz4 Question 1 Shown below is a portion of an Excel output for regression analysis relating Y (dependent variable) and X (independent variable). The percent of the variability in the prediction of Y that can be attributed to the variable X Regression StatisticsMultiple R 0.7732R Square 0.5978Adjusted R Square 0.5476Standard Error 3.0414Observations 10ANOVA df SS MS F Significance FRegression 1 110 110 11.892 0.009Residual 8 74 9.25 Total 9 184 Coefficients Standard Error t Stat P-valueIntercept 39.222 5.942 6.600 0.000X -0.556 0.161 -3.448 0.009 Question 2 Shown below is a portion of an Excel output for regression analysis relating Y (dependent variable) and X (independent variable). Is this model significant at the 0.05 level? Regression StatisticsMultiple R 0.1347R Square 0.0181Adjusted R Square -0.0574Standard Error 3.384Observations 15ANOVA df SS MS F Significance FRegression 1 2.750 2.75 0.2402 0.6322Residual 13 148.850 11.45 Total 14 151.600 Coefficients Standard Error t Stat p-valueIntercept 8.6 2.2197 3.8744 0.0019X 0.25 0.5101 0.4901 0.6322 Question 3 A regression analysis between sales and price resulted in the following equation Y=50,000 – 8000XThe above equation implies that an Question 4 The actual demand for a product and the forecast for the product are shown below. Calculate the MAD.Observation Actual Demand (A) Forecast (F)1 35 —2 30 353 26 304 34 265 28 346 38 28 Question 5 Below you are given the first two values of a time series. You are also given the first two values of the exponential smoothing forecast.Time Period (t) Time Series Value (Y t) Exponential SmoothingForecast (F t)1 22 222 26 22If the smoothing constant equals .3, then the exponential smoothing forecast for time period three is Question 6 What is the forecast for June based on a three-month weighted moving average applied to the following past demand data and using the weights: .5, .3, and .2 (largest weight is for the most recent data)? Month Demand ForecastJanuary 40 February 45 March 57 April 60 May 75 June 87 Question 7 The following time series shows the number of units of a particular product sold over the past six months. Compute the MSE for the 3-month moving average.Month Units Sold(Thousands)1 82 33 44 55 126 10 Question 8 Given an actual demand of 61, forecast of 58, and an alpha factor of .2, what would the forecast for the next period be using simple exponential smoothing?

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Course QMBLC Summer14Test Quiz2 • Question 1 Assuming a Poisson distribution,

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Course QMBLC Summer14Test Quiz2 • Question 1 Assuming a Poisson distribution, on the average, 6.7 cars arrive at the drive-up window of a bank every hour. Compute the probability that exactly 5 cars will arrive in the next hour. • Question 2 At a computer-consulting firm, the number of new clients that they have obtained each month has ranged from 0 to 6. The number of new clients has the probability distribution that is shown below. Determine the expected number of new clients per month. # of Clients Probability0 0.051 0.102 0.153 0.354 0.205 0.106 0.05 • Question 3 Assuming a binomial distribution, four percent of the customers of a mortgage company default on their payments. A sample of five customers is selected. What is the probability that more than 2 customers in the sample will default on their payments? • Question 4 If P(A) = 0.68, P(A ? B) = 0.91, and P(A ? B) = 0.35, then P(B) = • Question 5 If A and B are independent events with P(A) = 0.05 and P(B) = 0.65, then P(A|B) = • Question 6 X is a normally distributed random variable with a mean of 22 and a standard deviation of 5. The probability that X is between 9.7 and 22 is • Question 7 A random variable X is exponentially distributed with a mean of 25. What is the probability that X is between 25 and 30? • Question 8 X is a normally distributed random variable with a mean of 22 and a standard deviation of 5. The probability that X is between 17 and 27 is

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• Question 1 On a Minnesota December day, the probability of snow is 0.30. The

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• Question 1 On a Minnesota December day, the probability of snow is 0.30. The probability of a cold day is 0.50. The probability of snow and cold weather is 0.15. Are snow and cold weather independent events? • Question 2 As a company manager for the Quick Money Business there is a 0.40 probability that you will be promoted this year. There is a 0.72 probability that you will get a promotion or a raise. The probability of getting a promotion and a raise is 0.25. If you get a promotion, what is the probability that you will get a raise? • Question 3 Alison has all her money invested in two mutual funds, A and B. She knows that there is a 40% chance that fund A will rise in price. There is a 60% chance that fund B will rise in price given that fund A rises in price. There is also a 30% chance that fund B will rise in price. What is the probability that at least one of the funds will rise in price? • Question 4 If P(A) = 0.40, P(B | A) = 0.35, P(A ? B) = 0.69, then P(B) = • Question 5 A recent survey shows that the probability of a college student drinking alcohol is 0.6. Further, given that the student is over 21 years old, the probability of drinking alcohol is 0.8. It is also known that 30% of the college students are over 21 years old. Of the students who are not over 21, what is the probability they drink alcohol? • Question 6 Alison has all her money invested in two mutual funds, A and B. She knows that there is a 40% chance that fund A will rise in price. There is a 60% chance that fund B will rise in price given that fund A rises in price. What is the probability that both fund A and fund B will rise in price? • Question 7 Three workers at a fast food restaurant pack the take-out chicken dinners. John packs 45% of the dinners, Mary packs 25% of the dinners and Sue packs the remaining dinners. Of the dinners John packs 4% do not include a salt packet. If Mary packs the dinner 2% of the time the salt is omitted. Lastly, 3% of the dinners do not include salt if Sue does the packing. What is the probability that you will have salt packed with your dinner? • Question 8 Use the table below which contains data on 1200 students in a law class. If a student passed the course, what is the probability that their GPA was greater than 3.0? GPA 0.0 – 2.0 GPA 2.01 – 3.0 GPA 3.01 – 4.0 TotalPass 100 200 540 840Fail 200 120 40 360Total 300 320 580 1200 • Question 9 A six-sided die is tossed. You win $10 if the tossed die shows a 5 or an even number. What is the probability that you will win the game?

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