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schepotkina [342]
3 years ago
11

Plz help i will give brainliest

Mathematics
2 answers:
jasenka [17]3 years ago
6 0
I agree with this person
tino4ka555 [31]3 years ago
3 0
Kahn academy would help a lot
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Right now, Simran's father is three times as old as Simran. Five years ago, he was four times as
Illusion [34]
Hello,

Let's f the age of the father
s the age of Simran

f=3*s
f-5=4*(s-5)
==>3s-5=4s-20
==>s=15
f=3*15=45


3 0
3 years ago
Read 2 more answers
Renting a car costs $35.50 per day, plus 40¢ per mile. If a customer paid $131 for a 2-day rental, how many miles was the car dr
qwelly [4]

Subtract the fee from the total:

131- 35.50 = 95.50

Now divide that by the price per mile:

95.50/ 0.40 = 238.75

They drove 238.74 miles

6 0
3 years ago
Read 2 more answers
What is cos P?<br><br> A. 5/13<br><br> B. 12/5<br><br> C. 5/12<br><br> D. 12/13
guajiro [1.7K]
The answer is A. 5/13
4 0
3 years ago
Read 2 more answers
Pleaseee helpppppp helpppppp​
Crazy boy [7]

Given:

The given table represents the ingredient need to make 4 muffins.

To find:

The amount of flour needed to make 12 muffins.

Solution:

We have, the data for 4 muffins.

From the given table it is clear that,

Flour need for 4 muffins = 250 g

Flour need for 1 muffins = \dfrac{250}{4} g

Flour need for 12 muffins = \dfrac{250}{4}\times 12 g

                                          = 250\times 3 g

                                          = 750 g

So, 750 g flour is need to make 12 muffins.

Therefore, the correct option is D.

8 0
3 years ago
Read 2 more answers
The fuel efficiency in miles per gallon of all bmw 320i's is (approximately) normally distributed with a mean of 25 and a standa
grigory [225]
Given:
μ = 25 mpg, the population mean
σ = 2 mpg, the population standard deviation

If we select n samples for evaluation, we should calculate z-scores that are based on the standard error of the mean.
That is,
z= \frac{x-\mu}{\sigma / \sqrt{n} }

The random variable is x = 24 mpg.

Part (i):  n = 1
σ/√n = 2
z = (24 -25)/2 = -0.5
From standard tables,
P(x < 24) = 0.3085

Part (ii): n = 4
σ/√n = 1
z = (24 -25)/1 = -1
P(x < 24) = 0.1587

Part (iii): n=16
σ/√n = 0.5
z = (24 - 25)/0.5 = -2
P(x < 24) = 0.0228

Explanation:
The larger the sample size, the smaller the standard deviation.
Therefore when n increases, we are getting a result which is closer to that of the true mean.
6 0
3 years ago
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