In a sample of credit card holders the mean monthly value of credit card purchases was $377 and the sample variance was

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In A Sample Of Credit Card Holders The Mean Monthly Value Of Credit Card Purchases Was 377 And The Sample Variance Was 1 (30.27 KiB) Viewed 42 times

In A Sample Of Credit Card Holders The Mean Monthly Value Of Credit Card Purchases Was 377 And The Sample Variance Was 2 (17.22 KiB) Viewed 42 times

In A Sample Of Credit Card Holders The Mean Monthly Value Of Credit Card Purchases Was 377 And The Sample Variance Was 3 (45.84 KiB) Viewed 42 times

In a sample of credit card holders the mean monthly value of credit card purchases was $377 and the sample variance was 84 ( $ squared) Assume that the poputation distribution is normal. Answer the folowing. rounding your answers to two decimal places where appropriate. (a) Suppose the sample resuits were obtained from a random sample of 11 credit card nolsers Find a 95% confidence interval for the mean monthly value of creoit card purchases of all card holders. (b) Suppose the sampie results were obtained from a random sample of 18 credit card holders Find a 95 s confidence intervat for the mean monthly value of credit card purchases of all card holders. Before you answer (D) consider whether the confidence intervat will be wider than of narrower than the confidence interval found for (a). Then check that your answer verifies this.
(1 point) Use the given data to find the 95% confldence interval estimate of the population mean μ Assume that the population has a normal distribution IQ scores of professional athletes Sample size n=19 Mean x=103.2 Sample standard deviation s=9 Round your answers 10 two decimai places.
The data below gives the mean price (in cents) of a ttre of regular gasoline at seli-service nilling stations at a sample of six urban centres in Canada in May 2011. Provide answers to the following to two decimal places. Part (a) Find the sample mean (in cents). Part (b) Find the sample standard deviation (in cents) Part (c) Using the appropriate t distribution, find a 90% contidence interval for the mean gasoline price per itre across urban Canada in May 2011. Provide the upper and lower bounds for your contidence interval. \& Part (d) Would a 95\% conticence interval be wider or narrower than the interval you found in Part (c)? Using the approphiate t distribution. find a 95% contidence interval for the mean gascline arice per litre across urban Canada in May 2011. Provide the upper and lower bounds for your contidence interval 1