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A recent study of 50 U.S. chess players details such things as the number of years the players have been active and the chess ratings of the players. (A chess rating is a number, with a higher number indicating greater expertise.) The chess rating data for the sample of 50 players are summarized in the following



Answer :

Using the given histogram, we have that 90% of the players in the sample have scores that are less than 2300.

What is the missing information?

This problem is incomplete, but researching it on a search engine, we have that the histogram states as follows:

  • 6 of these players have scores between 300 and 700.
  • 6 of these players have scores between 700 and 1100.
  • 13 of these players have scores between 1100 and 1500.
  • 14 of these players have scores between 1500 and 1900.
  • 6 of these players have scores between 1900 and 1300.
  • 5 of these players have scores between 2300 and 2700.

The problem then asks the proportion of players in the sample with scores that are less than 2300.

What is an histogram?

An histogram is a graph that shows the number of times each element of x was observed.

In the missing information section, we already gave the amounts presented by histogram, and we have that 45 out of 50 players have scores that are less than 2300, hence the proportion is given by:

p = 45/50 = 0.9.

Thus 90% of the players in the sample have scores that are less than 2300.

More can be learned about histograms at https://brainly.com/question/25836450

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