The data table contains waiting times of customers at a bank, where customers enter a single waiting line that feeds three teller windows. Test the claim that the standard deviation of waiting times is less than 1.9 minutes, which is the standard deviation of waiting times at the same bank when separate waiting lines are used at each teller window. Use a significance level of 0.05. Complete parts (a) through (d) below. E Click on the icon to view the data. a. Identify the null and altemative hypotheses. Choose the correct answer below. Customer waiting times YA Ha o1.9 minutes OB. Ha: a<1.9 minutes HAe<19 minutes Customer Waiting Times (in minutes) 7.9 7.9 7.6 H a 1.9 minutes OC. Hoen1.9 minutes HA O19 minutes O D. Ho: a2 1.9 minutes 6.8 9.2 6.9 HA a<19 minutes 7.2 6.2 6.5 11.9 7.8 6.3 7.8 b. Compute the test statistic 6.2 7.9 7.3 6.9 7.7 7.2 5.3 6.5 7.1 7.4 6.5 13.2 (Round to two decimal places as needed) 7.7 8.9 7.3 6.9 7.4 7.5 6.4 6.9 14.9 6.7 7.7 6.6 6.4 7.8 7.4 8.6 6.4 4.3 7.5 6.7 6.9 6.9 6.8 7.8 10.2 8.1 7.1 7.3 8.8 6.2 6.3 8.6 6.4 6.7 7.6

Using​ PivotTables, find the mean and standard deviation of sales by region in the data provided.   LOADING... Click the icon to view the data.         Question content area bottom Part 1 Complete the table below. ​(Type integers or decimals rounded to two decimal places as​ needed.)   Average of Amount StdDev of Amount East enter your response here enter your response here North enter your response here enter your response here South enter your response here enter your response here West enter your response here enter your response here Grand Total enter your response here enter your response here

Use the Empirical Rule. The mean speed of a sample of vehicles along a stretch of highway is 68 miles per​ hour, with a standard deviation of 3 miles per hour. Estimate the percent of vehicles whose speeds are between 65 miles per hour and 71 miles per hour.​ (Assume the data set has a​ bell-shaped distribution.) Approximately nothing​% of vehicles travel between 65 miles per hour and 71 miles per hour.

You wish to determine if there is a linear correlation between the age of a driver and the number of driver deaths. The following table represents the age of a driver and the number of driver deaths per 100,000. Use a significance level of 0.01 and round all values to 4 decimal places. Driver Age 65 69 48 37 49 27 62 64 Ho: p = 0 Ha: p = 0 r= Find the p-value p-value= Number of Driver Deaths per 100,000 22 22 34 Find the Linear Correlation Coefficient The p-value is Greater than a Less than (or equal to) a 23 28 20 The p-value leads to a decision to O Do Not Reject Ho O Accept Ho O Reject Ho 33 33 The conclusion is O There is a significant negative linear correlation between driver age and number of driver deaths. There is a significant linear correlation between driver age and number of driver deaths. O There is insufficient evidence to make a conclusion about the linear correlation between driver age and number of driver deaths. O There is a significant positive linear correlation…