All categories

4 years ago

Last week Perry ran 24.9 miles more than Mike. Perry ran 40.5 miles. How many miles did Mike run? LAST ONE LOL

Mathematics

2 answers:

Artist 52 [7]4 years ago

5 0

Answer:

15.5mi

Step-by-step explanation:

S refers to the distance covered

Given:

Last week Perry ran 24.9 miles more than Mike. Perry ran 40.5 miles.

Required:

How many miles did Mike run=?

Formula:

40.5mi-S(Perry)=S(Mike)

Solution:

40.5mi-S(Perry)=S(Mike)

40.5mi-24.9mi=S(Mike)

15.6mi=S(Mike)

Hope this helps.

sweet [91]4 years ago

5 0

Answer:

15.6 miles

Step-by-step explanation:

40.5 mi - 24.9 = 15.6 mi

Mike ran 15.6 miles

You might be interested in

Will mixes 1/4 gallon of milk and 1/2 gallon of chocolate syrup to make chocolate milk. Each serving is 1/16 gallon. How many se

Dennis_Churaev [7]

Answer:

12 servings!

Step-by-step explanation:

1/4 equals 0.25 gallons, 1/2 gallons is 0.5, so Will will have a mix of 0.75 gallons. If each serving is 1/16 and 1/16 equals 0.0625, divide 0.75 by 0.0625 = 12 servings.

6 0

3 years ago

A=20 cm<br> b=48 cm<br> What is the length of c?

Ainat [17]

The value of c is 52

8 0

3 years ago

A recent survey showed that 23.1 million adults have cut the cord on cable TV services, a 20% increase from the previous year. I

bogdanovich [222]

Answer:27.7million adults.

Step-by-step explanation:

The recent survey showed that 23.1 million adults have cut the cord on cable TV services and this is a 20% increase from the previous year.

If this trend continues, the amount by which the number of adults that would cut the cord on cable TV services would increase is

20/100 × 23100000 = 4620000

The number of adults expected to cut the cord next year would be

23100000 + 4620000 = 27720000

6 0

3 years ago

The weights of college football players are normally distributed with a mean of 200 pounds and a standard deviation of 50 pounds

Feliz [49]

Answer:

0.3811 = 38.11% probability that he weighs between 170 and 220 pounds.

Step-by-step explanation:

When the distribution is normal, we use the z-score formula.

In a set with mean $\mu$ and standard deviation $\sigma$ , the zscore of a measure X is given by:

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

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

In this question, we have that:

$\mu = 200, \sigma = 50$