cancel
Turn on suggestions
Auto-suggest helps you quickly narrow down your search results by suggesting possible matches as you type.
Showing results for 
Search instead for 
Did you mean: 
LABRADOR
‎07-07-2022
  • 23 Posts
  • 15 Likes Given
  • 0 Solutions
  • 0 Likes Received

Re: how to calculate hypergeometric distribution

by Obsidian | Level 7 in New SAS User
‎07-07-2022 09:43 AM
‎07-07-2022 09:43 AM
@Rick_SAS  Thank you! ... View more

Re: how to calculate hypergeometric distribution

by Obsidian | Level 7 in New SAS User
‎07-07-2022 09:24 AM
‎07-07-2022 09:24 AM
@Ksharp @sbxkoenk @Reeza Thanks to all of you. I greatly appreciate the help. ... View more

how to calculate hypergeometric distribution

by Obsidian | Level 7 in New SAS User
‎07-06-2022 06:39 PM
‎07-06-2022 06:39 PM
How do I write a SAS function to calculate the hypergeometric distribution of there being more than nine females surveyed from a sample of twenty?   In a large university, 40% of the students are female. If a random sample of twenty students is selected, what is the probability that the sample will contain more than nine female students? (Round your answer to four decimal places.)   sample #of females surveyed:   0 3.6561584400629733e-05 1 0.000487487792008398 2 0.0030874226827198492 3 0.012349690730879413 4 0.034990790404158215 5 0.0746470195288711 6 0.12441169921478513 7 0.1658822656197136 8 0.17970578775468962 9 0.1597384780041684 10 0.11714155053639005 11 0.07099487911296365 12 0.03549743955648174 13 0.01456305212573616 14 0.004854350708578719 15 0.0012944935222876583 16 0.00026968615047659553 17 4.2303709878681673e-05 18 4.70041220874241e-06 19 3.2985348833280015e-07 20 1.0995116277760013e-08 I generated the table above using Python, so I imagine this data is likely inconsistent. However, it provided me with the correct probability for exactly four females. which was 0.0350.    I am currently trying to write a function for the excerpt below:  If a random sample of twenty students is selected, what is the probability that the sample will contain more than nine female students? ... View more

How to develop a Joint probability Table in SAS 9.4

by Obsidian | Level 7 in SAS Programming
‎07-03-2022 09:07 PM
‎07-03-2022 09:07 PM
Using SAS, how do I create a Joint Probability Table from this data table     Undergraduate Major     Business Engineering Other Totals Full Time 420 393 77 890 Part Time 399 593 44 1036 Totals 819 986 121 1926   ... View more

How to Calculate Gross sales Column from Order Quantity and Unit Price...

by Obsidian | Level 7 in New SAS User
‎07-01-2022 12:09 PM
‎07-01-2022 12:09 PM
How do I calculate gross sales from Order Quantity and Unit Price in SAS 9.4?  Order Quantity Unit Price Gross Sales 20 $37.72   11 $35.85   1 $37.72   28 $35.85   8 $37.33   20 $35.85   15 $37.72   1 $37.33   16 $12.10   19 $13.64   30 $35.85   13 $37.72   5 $12.10   26 $37.33   9 $12.10   8 $13.64   23 $35.85   17 $13.64   11 $37.72   26 $37.33   3 $37.33   6 $12.10   7 $37.72   28 $13.64   19 $35.85   26 $13.64   11 $37.33   24 $35.85   27 $37.72   21 $13.64   16 $35.85   15 $35.85   4 $12.10   29 $37.72   3 $13.64   14 $35.85   12 $37.72   10 $37.72   6 $35.85   8 $37.72   20 $37.33   22 $13.64   25 $37.33   2 $12.10   26 $35.85   30 $37.72   20 $37.72   28 $35.85   25 $12.10   17 $37.72     ... View more

Frequency and Percent Frequency table with class width

by Obsidian | Level 7 in SAS Programming
‎06-09-2022 12:20 PM
‎06-09-2022 12:20 PM
Hi, how do I create a frequency and a percent frequency table with a class width of 5 (i.e. 65.0-69.9) for median income using SAS 9.4 State Median Income Alabama 76.2 Alaska 98.4 Arizona 79.7 Arkansas 70.9 California 91.2 Colorado 89.3 Connecticut 107.5 Delaware 90.2 Florida 75.5 Georgia 79.7 Hawaii 89.7 Idaho 67.1 Illinois 89.7 Indiana 76.7 Iowa 81.3 Kansas 79.9 Kentucky 76.4 Louisiana 82.6 Maine 77.8 Maryland 108.5 Massachusetts 106.8 Michigan 81 Minnesota 89.9 Mississippi 70.4 Missouri 77 Montana 73.6 Nebraska 78.3 Nevada 75.1 New Hampshire 93.9 New Jersey 110.7 New Mexico 77.6 New York 95.2 North Carolina 76.5 North Dakota 87 Ohio 80.9 Oklahoma 74.5 Oregon 78.7 Pennsylvania 86.8 Rhode Island 94.9 South Carolina 77.1 South Dakota 72 Tennessee 73.4 Texas 82 Utah 75 Vermont 83.1 Virginia 97.2 Washington 91.6 West Virginia 76.8 Wisconsin 82.3 Wyoming 87.9 ... View more

Build a model using Debt as the dependent variable and test the effect...

by Obsidian | Level 7 in SAS Programming
‎03-23-2022 12:30 PM
‎03-23-2022 12:30 PM
  Build a model using Debt as the dependent variable and test the effect of Interest and Relative Interest after controlling for Year and Budget. What is the unique variance explained by Interest and Relative Interest? For this problem use the GDP data.   3.7%   64.7%   12.8%   99.2%   Interest BEST12. 'Relative Interest'n BEST12. ; INFORMAT Year BEST12. GDP BEST12. Budget BEST12. Surplus BEST12. 'Relative Surplus'n BEST12. Debt BEST12. Interest BEST12. 'Relative Interest'n BEST12. ; INFILE 'C:\Users\ssd506\AppData\Roaming\SAS\EnterpriseGuide\EGTEMP\SEG-5828-49c58181\contents\GDP-a3d169860cb14d7da79cda1e8cfaaaee.txt' LRECL=36 ENCODING="WLATIN1" TERMSTR=CRLF DLM='7F'x MISSOVER DSD ; INPUT Year : BEST32. GDP : BEST32. Budget : BEST32. Surplus : BEST32. 'Relative Surplus'n : BEST32. Debt : BEST32. Interest : BEST32. 'Relative Interest'n : BEST32. ; RUN; What test should I run to do this?     ... View more

Re: How to specifiy significance level to be 0.5 in ProcGLMSelect

by Obsidian | Level 7 in SAS Programming
‎03-23-2022 11:08 AM
‎03-23-2022 11:08 AM
Does this look correct? proc contents varnum data=work.gdp; ods select position; run; proc glmselect data=work.gdp plots=all; modelaverage alpha=0.5; class Debt Budget GDP Budget Interest 'Relative Interest'n 'Relative Surplus'n Surplus Year; model Debt = Budget GDP Budget Interest 'Relative Interest'n 'Relative Surplus'n Surplus Year / details=all stats=all selection=stepwise; run; ods graphics off; ... View more

How to specifiy significance level to be 0.5 in ProcGLMSelect

by Obsidian | Level 7 in SAS Programming
‎03-22-2022 09:19 PM
‎03-22-2022 09:19 PM
I am trying to build a stepwise regression model using debt as the dependent variable, and all of the other variables in the data file as a predictor variables. Here is the data: /* -------------------------------------------------------------------- Code generated by a SAS task Generated on Tuesday, March 22, 2022 at 6:55:23 PM By task: Import Data Wizard Source file: P:\MS_3313\Exam_1\GDP.xlsx Server: Local Output data: WORK.GDP Server: Local -------------------------------------------------------------------- */ /* -------------------------------------------------------------------- This DATA step reads the data values from a temporary text file created by the Import Data wizard. The values within the temporary text file were extracted from the Excel source file. -------------------------------------------------------------------- */ DATA WORK.GDP; LENGTH Year 8 GDP 8 Budget 8 Surplus 8 'Relative Surplus'n 8 Debt 8 Interest 8 'Relative Interest'n 8 ; FORMAT Year BEST12. GDP BEST12. Budget BEST12. Surplus BEST12. 'Relative Surplus'n BEST12. Debt BEST12. Interest BEST12. 'Relative Interest'n BEST12. ; INFORMAT Year BEST12. GDP BEST12. Budget BEST12. Surplus BEST12. 'Relative Surplus'n BEST12. Debt BEST12. Interest BEST12. 'Relative Interest'n BEST12. ; INFILE 'C:\Users\ssd506\AppData\Roaming\SAS\EnterpriseGuide\EGTEMP\SEG-3756-4b181ba3\contents\GDP-d0419501d7d1440499323245eac8b347.txt' LRECL=36 ENCODING="WLATIN1" TERMSTR=CRLF DLM='7F'x MISSOVER DSD ; INPUT Year : BEST32. GDP : BEST32. Budget : BEST32. Surplus : BEST32. 'Relative Surplus'n : BEST32. Debt : BEST32. Interest : BEST32. 'Relative Interest'n : BEST32. ; RUN; Here is my  code: proc contents varnum data=work.gdp; ods select position; run; proc glmselect data=work.gdp plots=all; class Debt Budget GDP Budget Interest 'Relative Interest'n 'Relative Surplus'n Surplus Year; model Debt = Budget GDP Budget Interest 'Relative Interest'n 'Relative Surplus'n Surplus Year / details=all stats=all selection=stepwise; run; ods graphics off; ... View more

Re: What values does sas assign missing values

by Obsidian | Level 7 in New SAS User
‎03-03-2022 07:51 PM
‎03-03-2022 07:51 PM
Thank you Tom! ... View more

What values does sas assign missing values

by Obsidian | Level 7 in New SAS User
‎03-03-2022 07:25 PM
‎03-03-2022 07:25 PM
Consider the following if and else if statements. What value of QuizRange will be assigned to a missing value of Quiz?    if Quiz = 'A+' or Quiz = 'A' or Quiz = 'B+' or Quiz = 'B'    then QuizRange = 1; else if Quiz = 'B-' or Quiz = 'C+' or Quiz = 'C'    then QuizRange = 2; ... View more

Re: Final R-squared Stepwise Regression

by Obsidian | Level 7 in New SAS User
‎03-02-2022 09:54 AM
‎03-02-2022 09:54 AM
Thank you!   ... View more

Final R-squared Stepwise Regression

by Obsidian | Level 7 in New SAS User
‎03-02-2022 09:38 AM
‎03-02-2022 09:38 AM
  Hello SAS Community,  I was able to get the correct answer for this question using SAS Enterprise Guide; However, I'd like to know how this can be done through code rather than the point-and-click method. Could someone please tell me how to find R-squared for the final model?   _______________________________________________________________________________________________________________________________ Using x22 as the dependent variable and x7 to x21 as predictor variables using stepwise regression with a .05 enter level and .05 leave level, what is the R-squared for the final model? x7 x21 x22 3.9 8.4 65.1 2.7 7.5 67.1 3.4 9 72.1 3.3 7.2 40.1 3.4 9 57.1 2.8 6.1 50.1 3.7 7.2 41.1 3.3 7.7 56.1 3.6 8.2 56.1 4.5 6.7 59.1 3.2 8.4 68.1 4.9 6.6 53.1 5.6 7.9 58.1 3.9 8.2 72.1 4.5 7.6 62.1 3.2 7.1 71.1 4 7.2 50.1 4.1 8.2 58.1 3.4 7.9 55.1 4.5 8.8 67.1 3.8 7 50.1 5.7 9.9 70.1 3.6 8.1 60.1 2.4 8 65.1 4.1 5.5 55.1 3.6 7 58.1 3 7 70.1 3.3 5.6 55.1 3 7.2 70.1 3.6 6.2 52.1 3.4 7.1 44.1 2.5 6.2 51.1 3.7 7.6 44.1 3.3 9 62.1 4 6.7 54.1 3.2 7.1 51.1 3.4 7.2 57.1 4.1 9.9 77.1 3.6 7.6 65.1 4.9 5.8 53.1 3.4 8.4 61.1 3.8 7.9 61.1 5.1 7.6 72.1 5.1 8.4 55.1 2.5 6.5 65.1 4.1 7.7 58.1 4.3 8 67.1 3.8 7.1 60.1 3.7 8.5 67.1 3.9 7.6 61.1 3.6 7.2 48.1 2.7 8.2 67.1 2.5 9 66.1 3.4 7.2 44.1 3.3 8.1 62.1 3.8 8.9 59.1 5.1 8.8 74.1 3.6 7.5 58.1 4.3 7 67.1 2.8 8.5 61.1 3.2 7.2 71.1 3.8 8.8 63.1 3.9 8 44.1 2.2 8.1 47.1 3.6 7.1 48.1 3.8 9 60.1 4 6.2 50.1 3.7 8.2 48.1 3.5 5.8 51.1 3.6 8 58.1 4.5 7.7 67.1 3.2 7 43.1 4.3 7.9 66.1 3.7 9.8 66.1 3.9 8.4 65.1 3 8.9 63.1 3.6 7.5 49.1 3.8 8 61.1 3.5 8.1 72.1 3.4 7.6 44.1 3 8.8 63.1 3.2 8 68.1 2.9 8.5 53.1 3.2 6.5 37.1 2.6 7.7 52.1 3.5 7.2 51.1 3.6 6 48.1 2.6 8.2 52.1 3.6 7.4 59.1 5.5 9.3 59.1 3.7 7.9 58.1 4.2 6.5 51.1 3.9 8.6 72.1 3.5 8.9 72.1 3.8 8.4 59.1 4.8 8.1 50.1 3.4 7.2 48.1 3.2 7.7 51.1 4.9 7.4 61.1 3 7 57.1 3.6 6.1 52.1 5 7.1 71.1 4.7 7.6 59.1 5.6 9 58.1 4.3 8.9 66.1 3.4 7.5 61.1 4.1 9.3 77.1 4 8 62.1 3.7 7.6 61.1 3.2 7.1 43.1 5 8.1 66.1 3.5 7.9 69.1 3.6 7.2 65.1 4.3 7.7 65.1 3.8 7.9 63.1 4.7 6.9 59.1 5 9.5 71.1 3.6 7.5 46.1 4.1 8 45.1 2.5 7.1 51.1 5.1 8.8 74.1 3 8 57.1 2.2 7.7 47.1 2.5 8.2 66.1 4.3 6.5 52.1 3.7 8.1 54.1 3.9 8.1 61.1 3.6 6.9 46.1 5.7 9.3 70.1 2.8 6.2 47.1 3.6 8 60.1 2.5 7.1 65.1 3.2 6.5 37.1 3.8 7.1 53.1 2.5 8.2 51.1 4.1 7 75.1 2.8 6.7 47.1 4.9 7.5 61.1 4.2 7.4 51.1 3.6 7.4 49.1 3.4 7.9 55.1 2.8 8 61.1 3.4 8 72.1 3.8 8.4 72.1 4.2 8.8 66.1 4.2 7.9 66.1 3.8 6 53.1 3.7 8.2 58.1 5.1 8.4 55.1 4.1 7.4 55.1 4.3 8 65.1 3.3 6.6 56.1 4.3 7.6 52.1 3.5 7.5 69.1 5.1 7.1 55.1 2.8 7.9 61.1 3.6 7.6 48.1 3.4 7.1 48.1 3.7 7.6 48.1 3.6 8.2 59.1 3.7 6.9 44.1 4.5 8.1 62.1 3.7 7.6 54.1 3.6 8.4 53.1 3.6 7.4 53.1 4.1 7.9 45.1 3.4 7.2 44.1 3.7 7.6 41.1 2.9 6.7 53.1 4 7.4 54.1 3.3 6.2 55.1 2.6 7.5 59.1 3.7 7.4 66.1 4.8 7.9 50.1 5.1 6.5 55.1 3.7 8.6 67.1 2.4 8.6 65.1 5 8 66.1 2.6 8.1 59.1 5.7 8.2 70.1 2.5 7.2 51.1 4.1 8.4 75.1 5.7 9.4 70.1 5.1 9.4 72.1 2.8 7.5 61.1 3.8 6.6 72.1 2.8 4.3 50.1 3.6 6.6 48.1 3.6 7.4 56.1 3.7 7.1 61.1 3.9 6.7 44.1 4.5 6.7 59.1 3.6 7.2 48.1 3.8 7.1 50.1 3.3 6 40.1 3.6 8.4 58.1 4 8.6 62.1 5 7.9 66.1 5.5 7.6 59.1 5 8.5 66.1 ... View more
Contact Me
Online Status
Offline
Date Last Visited
‎07-07-2022 02:00 PM
Likes given to
View All
Quick links