standard deviation for the case study. Mean =14.8 The mean was calculated by getting the sum of total ounces in each bottle and then dividing that total by the sample size of thirty (30). Median = 14.8 The median is derived from the number that is in the middle‚ once the measurements have been placed in chronological order. Since the sample size is an even number‚ the median is obtained by taking the average of the two numbers in the middle. Standard Deviation = 0.55033 The standard deviation is the
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Case #9 1. Is it proper to multiply the average order size‚ $42.33‚ by the number of addresses (1‚300‚000) in the target mailing? a. No‚ there is far too much variability in responses‚ including a massive outlier‚ to have any confidence in this average. The response rate is very low‚ one would be concerned as to why the rate of response was only 9.2%. The question would therefore be whether the remaining 90.8% will follow the same pattern or will they buy anything at all. There is also
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cigarettes within the past week. - The type of statistical study condicted in this scenario is a test for a proportion. We know this because it has a single variable and consists of a Yes or No answer. This would make the data nominal with a single sample size of 1‚018 adults. 3. In the following scenario what is the statistic and the parameter it would estimate. A recent study of 460 drivers age 70 and over by the National Highway Traffic Safety Administration reported that 75% of those drivers
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used for a hypothesis test of the claim that the proportions of male smokers and female smokers are equal. First‚ the sample is not random‚ it is a convenience sample and therefore cannot be trusted. Second‚ np҄ = x = 4 < 5‚ therefore the normal distribution cannot be used to approximate the binomial distribution. Given a simple random sample of men and a simple random sample of women‚ we want to use a 0.05 significance level to test the claim that the percentage of men who smoke is equal to
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I have asked my employees to pull Thirty (30) bottles off the line at random from all the shifts at the bottling plant. The first step in solving this problem is to calculate the mean (x bar)‚ the median (mu)‚ and the standard deviation (s) of the sample. All of those calculations were easily computed in excel. The mean was computed by entering: =average‚ the median by: =median‚ and the std. dev. by: = = std dev. The corresponding values are x bar = 14.87‚ mu = 14.8‚ and s = 0.550329055. The
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975‚000 305‚000 85 Standard Deviation 197‚290 192‚518 52 Sample Variance 38‚920‚000‚000 37‚063‚085‚378 2‚727 Kurtosis 1.011329 1.183621 2.022026 Skewness
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the number of employees working in downtown Tulsa. Question number 17‚ 18 was about Employees’ salary distributions of the downtown area. To ensure a high response rate‚ researchers sent an advanced notification letter to all firms selected in the sample‚ and then a cover letter from the president of the chamber of commerce was included with a questionnaire. A follow-up letter was sent to those firms that did not respond after three weeks and telephone calls to certain key firms that did not respond
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Collegiate Athletic Association (NCAA) reported that the mean number of hours spent per week coaching and recruiting by college football assistant coaches during the season was 70. A random sample of 50 assistant coaches showed the sample mean to be 68.6 hours‚ with a standard deviation of 8.2 hours. A. Using the sample data‚ construct a 99% confidence interval for the population mean. The confidence interval is as follows: 68.6- 2.58*8.2/ã50‚ 686+ 2.58*8.2/ã50 CI(65.6-71.5) B. Does the 99%
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obtain a random sample of 31‚634 customers on the following variables – Profitability (in $‚ for the most recent completed year‚ i.e. 2006)‚ whether or not the customer uses the online banking channel‚ customer tenure‚ age and income where available‚ as well as the customer’s residential area. Descriptive statistics for Profits indicates that the average profit per customer is $111.50 with a standard deviation of $272.84. a. Is Joe justified in assuming that this is a “large” sample? (see slide
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BUsiness analytics Department Executive summary This study was produced on behalf of the Business Analytics Department at DGHG for CCResorts in order to examine market research and determine how the venture is progressing. The company provided a data sample from the past 12 months with 200 entries‚ each with 6 variables. The aim of this report is to evaluate the success of CCResorts in fulfilling their key performance indicators as outlined in their business plan‚ determines the clientele that are attracted
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