
Testing Claims About Variation. In Exercises 5-16, test the given claim. Identify the null hypothesis, alternative hypothesis, test statistic, P-value, or critical value(s), then state the conclusion about the null hypothesis, as well as the final conclusion that addresses the original claim. Assume that a simple random sample is selected from a
14. Bank Lines The Jefferson Valley Bank once had a separate customer waiting line at each teller window, but it now has a single waiting line that feeds the teller windows as vacancies occur. The standard deviation of customer waiting times with the old multiple-line configuration was 1.8 min. Listed below is a simple random sample of waiting times (minutes) with the single waiting line. Use a 0.05 significance level to test the claim that with a single waiting line, the wailing times have a standard deviation less than 1.8 min. What improvement occurred when banks changed from multiple waiting lines to a single waiting line?

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Chapter 8 Solutions
Elementary Statistics (13th Edition)
- Let X = the time between two successive arrivals at the drive-up window of a local bank. If X has an exponential distribution with λ = 1, (which is identical to a standard gamma distribution with α = 1), compute the following. (If necessary, round your answer to three decimal places.) (a) the expected time between two successive arrivals (b) the standard deviation of the time between successive arrivals (c) P(X ≤ 1) (d) P(2 ≤ X ≤ 4) You may need to use the appropriate table in the Appendix of Tablesarrow_forwardIn each case, determine the value of the constant c that makes the probability statement correct. (Round your answers to two decimal places.) USE SALT (a) (c) 0.9842 (b) P(0 ≤ Z ≤ c) = 0.3051 (c) P(CZ) = 0.1335 You may need to use the appropriate table in the Appendix of Tables to answer this question.arrow_forwardSarrow_forward
- Find a video or article about confidence intervals and post a short summary and a link.arrow_forwardprovide analysis based on the data on the image answering the following: Define Regression as a method to establish whether the pairs of data (observations) follow a straight line. Here, you are required to perform a regression between Y and X for the purpose of prediction. Show the regression line and then discuss the following: Run an OLS regression to test the significance of the theoretical signs expected What is the Y-intercept Compute the slope R square and r (correlation coefficient) Is the explanatory variable significant at the 5% level? That is, what is the “t” value? Estimate the regression equation and graphically show the regression line Compute the p-value and is it less than the 5% cut off point for being significant?arrow_forwardseries and sequencearrow_forward
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