The following table describes the quantity of a specific television model a retailer sells each day, along with the respective probabilities for each quantity sold. Each TV sells for $900. What is the retailer’s expected revenue for that TV model on any given day? Table is given

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3190 You're a data analyst for an insurance company. You want to make sure that your employer is not over-paying for car repairs. To investigate this, you bring 31 different cars to two different garages, Bubba's Hubcap Heaven and Repair, and Merle's Motor Shop. Some of the cars need lots of repairs. Some of the cars need very few. By taking each car to both shops, we can directly compare the two sets of prices.  Before running your analysis, be sure to look at the data file and verify that each car requires a different amount of repairs, and that prices in one shop are correlated with prices at the other shop. That is, they're in the same ballpark. The question is whether one tends to charge more, on average, than the other. Your task is to use Excel to test the research hypothesis that prices are different in the two shops; the null hypothesis is that prices are equal between the two shops. You test at the alpha = 0.10 significance level. What do you conclude? Are prices the same?…

Complete the following statements. In general, % of the values in a data set lie at or below the median. % of the values in a data set lie at or below the third quartile (Q3). If a sample consists of 900 test scores, quartile (Q2). If a sample consists of 900 test scores, quartile (Q1). of them would be ot or below the second of them would be ot or above the first

The values listed below are waiting times (in minutes) of customers at two different banks. At Bank A, customers enter a single waiting line that feeds three teller windows. At Bank B, customers may enter any one of three different lines that have formed at three teller windows. Answer the following questions. Bank A Bank B 6.4 4.2 6.6 5.4 6.7 5.7 < 6.8 6.2 7.1 6.7 Click the icon to view the table of Chi-Square critical values. 7.3 7.7 7.5 7.7 Construct a 95% confidence interval for the population standard deviation o at Bank A. min < Bank A min (Round to two decimal places as needed.) 7.9 8.5 7.9 9.3 7.9 10.0 Question Viewer ho

Experimental or Observational: A group of students is interested in knowing if the number of times they can sink a basketball is related to the color of the basketball. The students shoot a series of baskets and record their success using a regulation colored basketball.  They then switch to a blue colored basketball and shoot the same series of baskets.  .