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Alenkasestr [34]
3 years ago
8

What is the solution for f(n)=1.25n+6.25; 25??? Please answer this quickly

Mathematics
1 answer:
gogolik [260]3 years ago
8 0
It would be f= 1.25n+6.25/n
                

You might be interested in
15m + 0.50 = 25m + 0.25
il63 [147K]
M = 0.025
I hope this helped you.
4 0
3 years ago
Read 2 more answers
A baby elephant weighs 200 pounds at birth. Seven years later, the elephant's weight is 3,000 pounds.
almond37 [142]
What exactly is your question?
4 0
3 years ago
The next model of a sports car will cost 5.2% less than the current model. The current model costs $41,000. How much will the pr
Ivanshal [37]

The price will decrease by $2132

<u>Step-by-step explanation</u>

Given that the next model of the sports car will cost 5.2% less than the current model.

The price of the current model=$41000

The price of the next model will be 5.2% less than $41000

price\ of\ next\ model=price\ of \ current \ model \times(100-5.2)/100\\=41000\times 94.8/100\\=38868

decrease in price=41000-38868=2132

There is a $2132 decrease in prize of the sports car.

3 0
3 years ago
What is 35300 in the sceincetific notation​
wel

35300 x 10⁰

3530 x 10¹

353 x 10²

35,3 x 10³

3,53 x 10⁴

0,353 x 10⁵

5 0
3 years ago
Read 2 more answers
Weights were recorded for all nurses at a particular hospital, the mean weight for an individual nurse was 135 lbs. with a stand
Aloiza [94]
Given:
population mean, &mu; =135
population standard deviation, &sigma; = 15
sample size, n = 19

Assume a large population, say > 100,
we can reasonably assume a normal distribution, and a relatively small sample.
The use of the generally simpler formula is justified.

Estimate of sample mean
\bar{x}=\mu=135

Estimate of sample standard deviation
\s=\sqrt{\frac{\sigma^2}{n}}
=\sqrt{\frac{15^2}{19}}=3.44124  to 5 decimal places.

Thus, using the normal probability table,
P(125
=P(\frac{125-135}{3.44124}
=P(-2.90593
=P(Z
=P(Z

Therefore 
The probability that the mean weight is between 125 and 130 lbs 
P(125<X<130)=0.0731166-0.0018308
=0.0712858



3 0
3 years ago
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