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For the loan amounts, what is the sample mean, the sample standard deviation, and the sample size? Can you assume normality to use the normal
For the loan amounts, what is the sample mean, the sample standard deviation, and the sample size? Can you assume normality to use the normal distribution? Explain why?. Calculate a confidence interval estimate of the population mean from this sample. HINT: Use the Excel Calculator for Population Mean Interval Estimation Calculator Sigma unknown Interpret your interval estimate using proper terminology. You can refer to your My Lab work for help. A Banking Industry report came out saying most banks averaged less than $ in their loans made last year. Use your confidence interval to decide whether Society Bank is most banks? Explain your rationale. Use the reported average loan amount of $ by the banking industry to test to see if Society Bank loans are higher on average than the industry as a whole. Use alpha State the hypotheses. You need null and alternative hypotheses. Use the Excel Calculator for hypothesis testing a population mean. Save your file and upload it with your report. write your conclusions including your pvalue, test statistic, and level of significance. How many loans are real estate loans, and what is the sample proportion of real estate loans? Calculate a confidence interval for the proportion of loans which are real estate loans. Show your work. HINT: Use the Excel Population Proportion Interval Estimation Calculator. Interpret your interval estimate using proper terminology. A Banking Industry report claimed at least of loans are commercial loans. Test this claim with alpha to answer the question: Are commercial loans less than half of all loans? State the hypotheses. You need null and alternative hypotheses. Use the Excel Calculator for hypothesis testing a population proportion. Save your file and upload it with your report. Write your conclusions including your pvalue, test statistic, and level of signLoan.
Loan Amount Type Region Follow Box follow box
$ Consumer $ Real Estate $ Consumer
$ Commercial $ Real Estate $ Commercial
$ Commercial $ Commercial $ Consumer
$ Commercial $ Commercial $ Consumer
$ Commercial $ Commercial $ Commercial
$ Commercial $ Commercial $ Commercial
$ Real Estate $ Commercial $ Commercial
$ Commercial $ Consumer $ Commercial
$ Commercial $ Commercial $ Consumer
$ Consumer $ Consumer $ Consumer
$ Consumer $ Commercial $ Commercial
$ Real Estate $ Consumer $ Consumer
$ Commercial $ Consumer $ Commercial
$ Consumer $ Consumer $ Consumer
$ Commercial $ Commercial $ Commercial
$ Commercial $ Commercial $ Commercial
$ Consumer $ Consumer $ Consumer
$ Real Estate $ Commercial $ Consumer
$ Real Estate $ Consumer $ Consumer
$ Commercial $ Real Estate $ Real Estate
$ Consumer $ Real Estate $ Real Estate
$ Consumer $ Commercial $ Commercial
$ Commercial $ Commercial $ Consumer
$ Consumer $ Commercial $ Commercial
$ Commercial $ Commercial $ Consumer
$ Real Estate $ Real Estate $ Commercial
$ Consumer $ Commercial $ Commercial
$ Commercial $ Commercial $ Commercial
$ Commercial $ Consumer $ Commercial
$ Consumer $ Commercial $ Consumer
$ Commercial $ Real Estate $ Consumer
$ Consumer $ Real Estate $ Consumer
$ Real Estate $ Commercial $ Consumer
$ Real Estate $ Commercial $ Commercial
$ Consumer $ Real Estate $ Real Estate
$ Consumer $ Consumer $ Commercial
$ Commercial $ Consumer $ Consumer
$ Commercial $ Commercial $ Commercial
$ Commercial $ Commercial $ Commercial
$ Consumer $
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