Sample Test 1 (lightbulb case)

# Sample Test 1 (lightbulb case) - George Mason University...

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George Mason University School of Management OM 210: Statistical Analysis for Management Dr. Harvey Singer Sample Problem: Descriptive Statistics Two different brands of 100-watt incandescent light bulbs are being compared, Brand A (national brand) and Brand B (store brand) as to their lifetime (longevity) in continuous usage. Random samples of light bulbs were selected and the bulbs were tested for the lifetimes while continuously lit. The data, in units of whole hours, are presented below. Note that the sizes of the samples are different. Brand A ( n = 20): 684 720 773 831 852 859 870 893 909 922 926 939 943 954 972 997 1005 1016 1052 1080 Brand B ( n = 16) 819 897 907 942 952 986 1012 1017 1026 1032 1048 1067 1096 1101 1119 1133 1. (a) What is the population? (b) What is the variable of interest in both samples? Be as complete and specific as necessary. (c) What kind of data are reported in both samples? (d) What is the measurement scale? Be as specific and complete as necessary. 2. (a) Determine the sample mean, median, mode and midrange of light bulb lifetime for Brand A. (b) Determine the sample mean, median, mode and midrange of light bulb lifetime for Brand B 3. (a) Determine the first and third quartiles of the sample data for Brand A. (b) Determine the first and third quartiles of the sample data for Brand B. 4. (a) Calculate the sample midquartile and interquartile range of the sample data

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## This note was uploaded on 02/19/2011 for the course OM 210 taught by Professor Singer during the Spring '08 term at George Mason.

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Sample Test 1 (lightbulb case) - George Mason University...

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