This topic contains a solution. Click here to go to the answer

Author Question: In computing descriptive statistics from grouped data, a. data values are treated as if they occur ... (Read 181 times)

acc299

  • Hero Member
  • *****
  • Posts: 569
In computing descriptive statistics from grouped data,
 a. data values are treated as if they occur at the midpoint of a class.
   b. the grouped data result is more accurate than the ungrouped result.
   c. the grouped data computations are used only when a population is being analyzed.
   d. none of these alternatives is correct.

Question 2

If the optimal value of a decision variable is zero and its reduced cost is zero, this indicates that alternative optimal solutions exist.
 a. True
  b. False
  Indicate whether the statement is true or false



Related Topics

Need homework help now?

Ask unlimited questions for free

Ask a Question
Marked as best answer by a Subject Expert

Pswine

  • Sr. Member
  • ****
  • Posts: 328
Answer to Question 1

a

Answer to Question 2

TRUE




acc299

  • Member
  • Posts: 569
Reply 2 on: Jun 24, 2018
Thanks for the timely response, appreciate it


cdmart10

  • Member
  • Posts: 332
Reply 3 on: Yesterday
YES! Correct, THANKS for helping me on my review

 

Did you know?

There are 20 feet of blood vessels in each square inch of human skin.

Did you know?

Blood in the urine can be a sign of a kidney stone, glomerulonephritis, or other kidney problems.

Did you know?

Aspirin is the most widely used drug in the world. It has even been recognized as such by the Guinness Book of World Records.

Did you know?

Coca-Cola originally used coca leaves and caffeine from the African kola nut. It was advertised as a therapeutic agent and "pickerupper." Eventually, its formulation was changed, and the coca leaves were removed because of the effects of regulation on cocaine-related products.

Did you know?

Women are 50% to 75% more likely than men to experience an adverse drug reaction.

For a complete list of videos, visit our video library