BUS310_L13_3.1.11 - Inferential Statistics Confidence...

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Lecture 13: Inferential Statistics / Confidence Intervals
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Outline 1. PS4 (Part 1): Process Control Charts 1. New Material – Chapter 8 1. Estimating Unknown Population Values 2. Numerical Data: Confidence Interval for a Population Mean (‘PHStat’, ‘Confidence Intervals’, ‘Estimate for the Mean, Sigma unknown’, p.243 to 248) 3. Categorical Data: Confidence Interval for a Population Proportion (‘PHStat’, ‘Confidence Intervals’, ‘Estimate for the Proportion’) 1. PS4 (Part 2): Confidence Intervals
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Problem Set 4: Chapter 14 1. Problem 14.3, page 499 (2 points) A medical transcription service enters medical data on patient files for hospitals. The service studied ways to improve the turnaround time (defined as the time between sending data and the time the client receives completed files). After studying the process, it was determined that turnaround time was increased by transmission errors. A transmission error was defined as data transmitted that did not go through as planned and needed to be retransmitted. For a period of 31 days , a sample of 125 transmissions were randomly selected and evaluated for errors (see file). Construct a p chart ‘TRANSMIT
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Problem Set 4: Chapter 14 2. Problem 14.6, page 500 (2 points) The bottling division of a Cola company maintains daily records of the occurrences of unacceptable cans flowing from the filling and sealing machine. The data stored in the file ‘Colaspc’ lists the number of cans filled and the number of nonconforming cans for one month (based on a 5-day workweek). a) Construct a p chart for the proportion of unacceptable cans for the month. Does the process give an out-of-control signal? ‘COLASP
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Problem Set 4 3. Problem 14.15, page 507 (2 points) The manager of a warehouse for a telephone company is involved in a process that receives expensive circuit boards and returns them to a central stock so that they can be reused at a later date. Speedy processing of these circuit boards is critical in providing good service to customers and reducing capital expenditures. The data in the file ‘Warehse’ represent the number of circuit boards processed per day by a subgroup of 5 employees over a 30-day period .
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1. Create Range and Mean Columns Range: = max(highlight data in the row without ID) – min(highlight data in the row without ID) = max(B2:F2) – min(B2:F2) & drag formula down Mean: = average(highlight data in the row without ID) = average(B2:F2) ± drag formula down ‘WAREHSE UnstackedPS4.xls’
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2. Create Range Chart and Mean Chart ‘WAREHSE UnstackedPS4.xls’ Excel generates several sheets with calculations. Just focus on the charts and their interpretation
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3. Apply Three Rules to Range Chart ‘WAREHSE UnstackedPS4.xls’
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4. Apply Three Rules to Mean Chart
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Inferential Statistics
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Why is the Normal Distribution Important? If we only care about describing a specific sample (‘Descriptive Statistics’), it does not
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This note was uploaded on 04/07/2011 for the course BUS 311 taught by Professor Reardon,j during the Spring '08 term at University of Hawaii, Manoa.

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BUS310_L13_3.1.11 - Inferential Statistics Confidence...

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