About olivia123456

olivia123456 · ‎04-23-2019

2.1 Ho: The results are independent Ha: The results are dependent 2.2 data household; input familysize agree no_opinion disagree; cards; 1 73 31 42 2 109 52 71 3 48 29 38 4 37 20 40 5 37 18 23 run; proc print data=household; run; proc freq data=household; weight familysize; tables agree/chisq; run;

olivia123456 · ‎04-23-2019

The General Social Survey conducted a poll of 668 adults in which the subjects were asked whether they agree that the government should prohibit smoking in public places. In addition, each was asked how many people lived in his or her household. The results are summarized in the following contingency table. Test the hypothesis of independence. Use the α = 0.01 level of significance. State the null and alternate hypotheses. Report the test statistic and the p-value Household Size 1 2 3 4 5 Agree 73 109 48 37 37 No Opinion 31 52 29 20 18 Disagree 42 71 38 40 23 I don't know what I did wrong, am I perhaps using the wrong type of test?

olivia123456 · ‎04-22-2019

datanew; x='math 309 spring 2016'; course = ______________(x,____,____); semester=______________(x,____,____); run; Obs x course semester 1 math 309 spring 2016 math spring How do I use character functions to fill in the blank? I am a beginner and confused on where to start to solve this problem.

olivia123456 · ‎04-22-2019

So my code for this practice question is not running and I cannot figure out how to solve this question. Any help please. Also is my hypothesis correct? From 2005 through 2008, the Powerball was drawn from a collection of 42 balls numbered 1 through 42. A total of 350 drawings were held. For the purposes of this exercise, we grouped the numbers into six categories: 1–7, 8–14, and so on. If the lottery is fair, then the winning number is equally likely to occur in any category. Following are the observed frequencies. Source: powerball.com. Test the hypothesis that each of the categories is equally likely. Use the level of significance. Ho: Each of the categories are equally likely to be chosen for the power ball Ha: The categories are not equally likely to be chose for the power ball data lottery; input category observed @@; cards; category 1–7 8–1415–2122–2829–3536–42 obsevation 60 71 68 49 52 50 run; procprint data=lottery; run; procttest data=lottery =data alpha=0.05 test=diff sides=2; class category; var observation; run;

olivia123456 · ‎04-09-2019

I am personally confused on the round function because I don't understand what to put in the parenthesis for round(x, #). Yes two decimal space I need to change the scale as in if I had a score of 19/30 and all my other numbers are out of 30, is there a SAS function for SAS to translate them all out of 100 such as 15/30 to 50/100?

olivia123456 · ‎04-09-2019

how do you merge two data sets and create an identifier between two common variables (changing a variable to numerical or one to character)

olivia123456 · ‎04-09-2019

How do you convert data scores that are normally out of 30 to out of 100 on SAS and how to round them to a 2 decimal space.

olivia123456 · ‎04-01-2019

I was able to create the two data sets. I am confused to what the table is asking from me. I don't understand how to answer it or how to use the set function.

olivia123456 · ‎03-31-2019

Data sets A and B are showing below, apply various SET, MERGE, and UPDATE statements to determine what is contained in the data set C: Data set A Data set B Id X Y Id X Z 1 10 11 2 14 . 1 . 4 3 15 5 3 17 . Data set C Id X Y Z (1) Data C; set A B; (2) Data C; set A; set B; (3) Data C; set A B; by Id; (4) Data C; merge A B; (5) Data C; merge A B; by Id; (6) Data C; update A B; by Id; (7) Data C; set B; If X=. then set A; Else Y=mean(X, Z);

olivia123456 · ‎03-31-2019

Based on the SAS program A, program Band output tableto complete SAS program C. Program A : DATA A; INPUT NAME $ YEAR X; CARDS; TOM 10 12 MARY 6 9 NANCY 4 8 RUN; PROC SORT DATA=A; BY NAME; RUN; Program B DATA B; INPUT NAME $ YEAR Y; CARDS; TOM 5 34 NANCY 3 11 ALICE 5 10 RUN; PROC SORT DATA=B; BY NAME; RUN; Program C DATA C; ______________________________; _____________________________; RUN; PROC PRINT DATA=C; RUN; Obs NAME YEAR X Y 1 ALICE 5 . 10 2 MARY 6 9 . 3 NANCY 3 8 11 4 TOM 5 12 34 Output table

olivia123456 · ‎03-27-2019

The following data set information contains five variables name, sex, race, weight, and iq, Using data set informationto create a SAS data set biothat contains three variables, name, sex, and race. Using data set informationto create SAS data set personalthat contains name, weightand iq. Given bioand personaldata sets, create the data set fullwith five variables. Eric m White 130 60 Mary f African American 110 130 Lou m Asian 140 110 Frank m White 160 150 Jen f White 120 125

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Re: hypothesis of independence test

hypothesis of independence test

character function

t test

Re: converting data to a different scale

merge

converting data to a different scale

Re: merging

merging

output table

Re: t test

Re: t test

Re: converting data to a different scale

Re: merging

Re: hypothesis of independence test

hypothesis of independence test

character function

t test

Re: converting data to a different scale

merge

converting data to a different scale

Re: merging

merging

output table

Merging Variables