4.4 Run the following program to create a SAS data set called CLINICAL. Using this data set, compute the difference in weight from one visit to the next. DATA CLINICAL; *Use LENGTH statement to control the order of variables in the data set; LENGTH PATIENT VISIT DATE VISIT 8; RETAIN DATE VISIT WEIGHT; DO PATIENT = 1 TO 25; END; IF RANUNI (135) LT 5 THEN GENDER = 'Female'; ELSE GENDER = 'Male'; X = RANUNI (135); IF X LT 33 THEN GROUP = 'A'; ELSE IF X LT .66 THEN GROUP = 'B'; ELSE GROUP = 'C': DO VISIT = 1 TO INT (RANUNI (135)*5); IF VISIT = 1 THEN DO; END; DATE VISIT = INT (RANUNI (135) *100) + 15800; WEIGHT =INT (RANNOR (135) 10 +150); ELSE DO; DATE VISIT = DATE VISIT + VISIT (10+ INT (RANUNI (135) *50)); WEIGHT WEIGHT +INT (RANNOR (135) *10); END; OUTPUT; END; DROP X; RUN; IF RANUNI (135) LT .2 THEN LEAVE; FORMAT DATE VISIT DATE9.;

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What level of data does the example​ represent?   Credit Card Number

Johnson Filtration, Inc. provides maintenance service for water-filtration systems. Suppose that in addition to information on the number of months since the machine was serviced and whether a mechanical or an electrical repair was necessary, the managers obtained a list showing which repairperson performed the service. The revised data follow. Click on the datafile logo to reference the data. DATA file Repair Time Months Since in Hours Last Service Type of Repair Repairperson 2.9 Electrical Dave Newton 3.0 Mechanical Dave Newton 4.8 8. Electrical Bob Jones 1.8 Mechanical Dave Newton 2.9 Electrical Dave Newton 4.9 Electrical Bob Jones 4.2 6. Mechanical Bob Jones 4.8 8. Mechanical Bob Jones 4.4 4. Electrical Bob Jones 4.5 Electrical Dave Newton a. Ignore for now the months since the last maintenance service (1 ) and the repairperson who performed the service. Develop the estimated simpe linear regression equation to predict the repair time (y) given the type of repair (2 ). Recall that…

Enter the data in SPSS or EXCEL Merge the two data sets Once you have entered all the data, create a table to display the information Use any graphical method to present the data Comment on the findings Country May June July August Sept October Uganda 947 57 63 117 37 90 Kenya 411 42 55 100 85 49 Tanzania 521 72 02 116 52 46 Rwanda 753 55 15 89 4 14 Burundi 964 52 1 122 70 33 Ethiopia 327 6 26 135 17 24 Congo 967 6 7 113 90 53 Somalia 670 21 5 24 28 75 Eritrea 379 28 3 16 39 85 Country May June July August Sept. Oct. Sudan 39 5 38 11 82 86 Chad 44 10 93 11 101 187 Mali 25 30 67 21 132 82 Benin 47 37 44 10 44 21 Togo 49 31 116 11 31 18 Niger 23 40 37 13 88 18 Gambia 39 49 90 21 130 139…

Suppose you have information about average heights of a random sample of airline passengers. The mode is 64 inches, the median is 73 inches, and the mean is 75 inches. To convert the data into centimeters, multiply each data value by 2.54. What are the values of the mode, median, and mean in centimeters? (Enter your answers to two decimal places.)

Please only do B, C, and D...

PLZZ DO IT IN HOUR

,,f,ind range and midrange for this  data 12.78,45.78,75,70,52,9,22,45

State whether the data discribed below are discrete or continuous, and explain why. The number of television in different households.