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3 years ago

A total of 140 seventh- and eighth-grade boys were asked which sport they preferred, basketball or baseball.

Mathematics

1 answer:

ss7ja [257]3 years ago

7 0

Answer:

The answer is, " About 56% of those who prefer baseball are eight graders"

Step by Step Explanation:

Step 1: Turn 56% to a decimal, you get 0.56

Step 2: Multiply 0.56 by 68, the total amount of people who like baseball

Step 3 : you get 38.08 ( Don't mind the extra .08, just round )

Step 4 : You celebrate with a little victory dance!!!!!

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What is the answer <br> A<br> B<br> C<br> D

Jet001 [13]

What is the answer for what, please ask your question

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3 years ago

Last summer there were 88 players at coach rodriguez basketball camp. this year there are 125% of this number of players. how ma

ludmilkaskok [199]

To determine the number of those who joined the basketball camp this year, we just have to multiply the number of those who joined last year by the decimal equivalent of the percentage given. That is,
x = 88(1.25)
x = 110
Therefore, there are a total of 110 players for this years basketball camp.

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3 years ago

Example

katen-ka-za [31]

Answer:

The playground is 160ft by 360ft.

The model is 4in by 9in

First, 1ft = 12 inches.

Then the measures of the playground, in inches, is:

160*12in = 1920 in

360*12in = 4320in

The playground is 1920in by 4320in.

Then, the ratios between the measures of the playground and the model are:

1920in/4in = 480

4320in/9in = 480

This means that each inch in the model, represents 480 inches in the actual playground.

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3 years ago

What is the NEXT step in solving this system of equations, and what is the solution for the value of "y"?

Mazyrski [523]

Answer:

There is no next step, the problem is answered!

Step-by-step explanation:

6 0

2 years ago

he life of light bulbs is distributed normally. The variance of the lifetime is 625 and the mean lifetime of a bulb is 540 hours

almond37 [142]

Using the normal distribution, it is found that there is a 0.877 = 87.7% probability of a bulb lasting for at most 569 hours.

<h3>Normal Probability Distribution</h3>

The z-score of a measure X of a normally distributed variable with mean $\mu$ and standard deviation $\sigma$ is given by:

$Z = \frac{X - \mu}{\sigma}$

The z-score measures how many standard deviations the measure is above or below the mean.

Looking at the z-score table, the p-value associated with this z-score is found, which is the percentile of X.

The mean and the standard deviation are given, respectively, by:

$\mu = 540, \sigma = \sqrt{625} = 25$

The probability of a bulb lasting for at most 569 hours is the <u>p-value of Z when X = 569</u>, hence:

$Z = \frac{X - \mu}{\sigma}$

$Z = \frac{569 - 540}{25}$

Z = 1.16

Z = 1.16 has a p-value of 0.877.

0.877 = 87.7% probability of a bulb lasting for at most 569 hours.

More can be learned about the normal distribution at brainly.com/question/24663213

#SPJ1

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1 year ago