1.8 Employee salaries and job class are listed here. Write a program to create a SAS data set(call it anything you wish) containing the employee ID (EMPID), the salary (SALARY), thejob class (JCLASS), and a new variable called BONUS, computed as follows: BONUS is10% of salary for job class 1, 15% of salary for job class 2, and 20% of salary for job class 3(the CEO and president of the company). Once you have the bonus amount, add it to salaryto create one more variable called NEW SALARY. Use PROC PRINT to list the contentsof the data set. Here is the data you can use:137 28000 1214 98000 3199 150000 3355 57000 2Notice that the columns don't line up. You may make JCLASS a character or a numericvariable. Make sure the SAS statements you write using JCLASS are compatible with whichtype you chose. Look in the SAS LOG to make sure there are no "character to numeric" or"numeric to character" conversion messages.

Problem BreakdownYou are asked to:Create a SAS dataset containing employee ID (EMPID), salary…

Answered: 1.8 Employee salaries and job class are…

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter10: Statistics

Section10.2: Representing Data

Problem 22PFA

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Create scatterplot using Excel with the following variables: gender: 0 = male, 1 = female. height: in inches. weight: in pounds. First we will create a scatterplot to examine how weight is related to height, ignoring gender. To do that in Excel: Sort the data by gender: Hold down the Control key (Command key on MacOS) and click the A key to select all of the data in the worksheet. Select the Home tab, then the Editing group Sort & Filter -> Custom Sort. In the pop-up window, make sure that My list has headers box is checked and then choose gender from the pull-down menu next to Sort by. Click OK. Now select all of the data in columns B and C, select the Insert tab and in the Charts group choose Scatter. Choose the first scatterplot option (Scatter with only Markers). Now we have a scatterplot, but the data is all on the right of the plot. To fix this: Right-click on the x-axis, and choose Format Axis from the pop-up menu. Make sure that Axis Options is selected on the left, and…
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The average monthly residential gas bill for Black Hills Energy customers in Cheyenne, Wyoming is (Wyoming Public Service Commission website). How is the average monthly gas bill for a Cheyenne residence related to the square footage, number of rooms, and age of the residence? The following data show the average monthly gas bill for last year, square footage, number of rooms, and age for typical Cheyenne residences. Average Monthly Gas Number of Bill for Last Year Age Square Footage Rooms $70.20 16 2537 6 $81.33 2 3437 8 $45.86 27 976 6 $59.21 11 1713 7 $117.88 16 3979 11 $57.78 2 1328 7 $47.01 27 1251 6 $52.89 4 827 5 $32.90 12 645 4 $67.04 29 2849 5 $76.76 1 2392 7 $60.40 26 900 5 $44.07 14 1386 5 $26.68 20 1299 4 $62.70 17 1441 6 $45.37 13 562 4 $38.09 10 2140 4 $45.31 22 908 6 $52.45 24 1568 5 $96.11 27 1140 10…
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Each year forbes ranks the world’s most valuable brands. A portion of the data for 82 ofthe brands in the 2013 forbes list is shown in Table 2.12 (forbes website, february, 2014).The data set includes the following variables:brand: The name of the brand.Industry: The type of industry associated with the brand, labeled Automotive& Luxury, Consumer Packaged Goods, financial Services, Other, Technology.brand Value ($ billions): A measure of the brand’s value in billions of dollarsdeveloped by forbes based on a variety of financial information about the brand.1-Yr Value Change (%): The percentage change in the value of the brand over theprevious year.brand Revenue ($ billions): The total revenue in billions of dollars for the brand.a. Prepare a crosstabulation of the data on Industry (rows) and brand Value ($ billions).Use classes of 0–10, 10–20, 20–30, 30–40, 40–50, and 50–60 for brand Value($ billions).b. Prepare a frequency distribution for the data on Industry.
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