A hospital near a ski resort records the types of injuries treated during ski season and other seasons
over a year. The results shown in the table will help determine the medical staff that is required at
different times of the year. According to the data in the table, what is the probability that a patient will
need to be treated for a broken bone during ski season?

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Answer:

See Explanation

Step-by-step explanation:

The question is incomplete, as the types of injuries and the frequency of each injury are not given.

A general way to solve a question like this, is as follows;

First: Calculate the total frequency.

Assume the given dataset is:

[tex]\begin{array}{cc}{Injury} & {Frequency} & {Dislocation} & {20} & {Strain} & {5} & {Broken\ Bone} & {10} & {Bruise} & {15} \ \end{array}[/tex]

The total frequency is:

[tex]Total =20 + 5 + 10 + 15[/tex]

[tex]Total =50[/tex]

Next, write out the frequency of broken bone injuries

[tex]Broken\ Bone = 10[/tex]

Calculate the probability by dividing the number of broken bone by the total frequency

[tex]Pr= \frac{10}{50}[/tex]

[tex]Pr = 0.20[/tex]

Answer:

1/4

Step-by-step explanation:

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