Mini 10_ Effect Size, Power, Signa Detection Theory

Nike CIO surveyed their employees at the R&D department and collected the following data to help him to decide whether employees should work from home or commute to the work. The data represents the number of miles that employees commute from home to work each day. There are two samples: one for males and one for females. Males: 13 5 2 23 23 14 5 Females: 15 6 3 2 6 Which of the following statements is true? Females have the larger range. The coefficient of variation is larger for males than for females. The coefficient of variation is larger for females than for males. Females have the larger mean.

A local manufacturing firm which produces engineer to order and assemble to order high value products for the pharmaceutical industry has recently been requested by its owner to provide a proposal on the benefits of a predictive performance model and methodology from a workshop that you have recently completed. You are requested to produce the following report: 1. Review the current state of the practice of performance reporting within firms. 2. Suggest a suite of appropriate key performance measures. 3. Explain the benefits of an Ex-Ante or Predictive Performance approach to enterprise performance management. 4. Recommend a methodology on how this type of Enterprise Performance Model might be deployed within actual firms. It is recommended that you use appropriate examples from the literature or your prior industrial experience to support any recommendations that you provide.

Compute the following using customer satisfaction data from the table below.2.1 Mean Squared Error (MSE)2.2 Mean Absolute Deviation (MAD) 2.3 Mean Absolute Percentage error (MAPE)

Mrs. Alaa works on developing staff training programs in Al Bustan Hotel to improve the services provided by the hotel She has been working their since 1990 and she mainly uses customers feedback on social media & customer complaints to forecast future training needs. The method used by Mrs. Alaa is   a. Delphi b. Judgmental C Associative models d. Time series

South Africa Airways would like to monitor its airline’s performance. Each week for the past 20 weeks, they checked each week a random sample of 100 flight arrivals for “one-time” performance. The table that follows contains the number of flights that did not meet South Africa Airways definition of “one time”:   Week Late flights 1 2 2 4 3 10 4 4 5 1 6 1 7 13 8 9 9 11 10 0 11 3 12 4 13 2 14 2 15 8 16 2 17 3 18 7 19 3 20 2 Calculate the upper and lower control limits for this chart.

South Africa Airways would like to monitor its airline’s performance. Each week for the past 20 weeks, they checked each week a random sample of 100 flight arrivals for “one-time” performance. The table that follows contains the number of flights that did not meet South Africa Airways definition of “one time”: Week Late flights 1 2 2 4 3 10 4 4 5 1 6 1 7 13 8 9 9 11 10 0 11 3 12 4 13 2 14 2 15 8 16 2 17 3 18 7 19 3 20 2   Which control chart is appropriate to analyze the above data? Justify your answer

P7-What type of data could be used to monitor the performance of a restaurant such as McDonald's P8-What measures or actions would be used to improve the consistent quality and speed of preparing fast food for customers

Study B: The decoy effect is the phenomenon that an additional but worse option can boost the appeal of an existing option. In order to get workers at food-processing factories in China to comply with hygiene standards (i.e., using hand sanitizer every hour), researchers manipulated whether there were additional options to the standard and convenient spray bottle provided to each employee. Workers in different rooms were randomly assigned to have just the standard spray bottle, or the standard spray bottle and an inconvenient squeeze bottle. Quality control personnel kept track of hand sanitizer use (weighing the bottles before and after each shift) and sanitary condition (sample wipes assessing the number of bacteria on hands). Neither the employees or quality control personnel were aware of the experiment or its hypothesis. The researchers found that when a decoy was present, workers used more sanitizer and were more likely to pass hand sanitary tests. In this example, it was…

Forecasting on Operation Management

As employees leave a company, they are asked to rate their level of job satisfaction during the time they were employed by the company. A sample set of scores (out of a maximum of 10) is provided below.   3 6 4 4 5 2 1 3 2 5 3 7 2 2 3 1 9 1 Use the information provided in the table to calculate: The median; The mode; The mean; The lower quartile (Q1); The upper quartile (Q3); The interquartile range (IQR); The standard deviation. State whether or not the ex-employees were likely to have left the company as a result of lack of job satisfaction. Use the statistics above to justify your conclusion. Discuss in which ways the company could benefit from making these statistics available to its current employees.

An avant-garde clothing manufacturer runs a series of high-profile, risque ads on a billboard on Highway 101 and regularly collects protest calls from people who are offended by them. The company has no idea how many people in total see the ad, but it has been collecting statistics on the number of phone calls from irate viewers: a) Choose the correct Pareto chart below. O A. Frequency (number) LL WROMI O B. Frequency (number) Type R M W I O Description Offensive racially/ethnically Demeaning to men Demeaning to women Ad is Incomprehensible Other RMWO Frequency (number) LONDO Number of Complaints 12 4 13 2 7 WROMI O Frequency (number) OFONSO 12- RM WIO

The following data was recorded while observing the increase in the number of butterflies in two different ponds, Pond A and Pond B. Number of Butterflies Present Over 5 Years Year Pond A Pond B 0 50 65 85 1 2 3 4 5 100 O 110 121 133 146 161 110 143 186 What is the rate of growth, r, for each pond and which pond has the fastest average rate of growth over the five years? TA = 1.1, TB = 1.3, mg = 3.72 butterflies/yr TA=0.9, TB=0.8, mg = 3.72 butterflies/yr TA=0.9, TB=0.8, mg=27.2 butterflies/yr TA = 1.1, TB = 1.3, mg=27.2 butterflies/yr

I understand the moving average concept but not the weighted moving average and exponential smoothing

Calculate the Mean Squared Error for the following data: Actual 93 88 96 102 Forecast 87.6 88.2 101.8 90 (Keep two decimal places in your answer)

1.The reported unemployment is 5.5% of the population. What measurement scale is used to measure unemployment?   Interval      Nominal     Ordinal    Ratio   2.Which one of the following is NOT an example of discrete data?   Number of employees reporting in sick    Number of households watching the Home Shopping Network    Number of miles between New York City and Chicago      Number of members of the Denver Lions Club

Attendance at Orlando's newest Disneylike attraction, Lego World, has been as follows: Guests Guests Quarter Quarter (in thousands) (in thousands) Winter Year 1 58 Summer Year 2 125 Spring Year 1 94 Fall Year 2 51 Summer Year 1 149 Winter Year 3 99 Fall Year 1 77 Spring Year 3 156 Winter Year 2 65 Summer Year 3 210 Spring Year 2 82 Fall Year 3 98 Based on the given attendance, the seasonal indices for each of the seasons are (round your responses to three decimal places): Season Index Winter

please solve all parts within 30 minutes using excel.

.