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Mumz [18]
2 years ago
7

35% of salt is in feta cheese. What percentage of salt is in that 350 g cheese?

Mathematics
1 answer:
xxMikexx [17]2 years ago
5 0

The amount of salt is in the 350 g of feta cheese, when there is 35% of salt is in cheese, is 122.5 grams.

<h3>What is percentage of a number?</h3>

Percentage of a number is the part of the whole number which is expressed in the fraction of hundredth. It is represented with "%" symbol.

35% of salt is in feta cheese. The percentage of salt is in that 350 g cheese has to be found out.

Let suppose there is x grams of slat in feta cheese of 350 g. Thus, the amount of salt (35% of 350) is,

x=\dfrac{35}{100}\times350\\x=122.5\rm\; gm

Thus, the amount of salt is in the 350 g of feta cheese, when there is 35% of salt is in cheese, is 122.5 grams.

Learn more about the percentage here;

brainly.com/question/2085058

#SPJ1

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Shalnov [3]

Answer:

a) P(X=12)=(25C12)(0.6)^{12} (1-0.6)^{25-12}=0.0760

b) P(X>17) = P(X=18) +....+P(X=25)

And we can use the following excel code: "=1-BINOM.DIST(17;25,0.6,TRUE)"

And we got:

P(X>17) = P(X=18) +....+P(X=25)= 0.154

c) P(X

And using the following excel code we got: "=BINOM.DIST(7,25,0.6,TRUE)"

And we got:

P(X

Step-by-step explanation:

Previous concepts

A Bernoulli trial is "a random experiment with exactly two possible outcomes, "success" and "failure", in which the probability of success is the same every time the experiment is conducted". And this experiment is a particular case of the binomial experiment.

The binomial distribution is a "DISCRETE probability distribution that summarizes the probability that a value will take one of two independent values under a given set of parameters. The assumptions for the binomial distribution are that there is only one outcome for each trial, each trial has the same probability of success, and each trial is mutually exclusive, or independent of each other".

The probability mass function for the Binomial distribution is given as:  

P(X)=(nCx)(p)^x (1-p)^{n-x}  

Where (nCx) means combinatory and it's given by this formula:  

nCx=\frac{n!}{(n-x)! x!}  

The complement rule is a theorem that provides a connection between the probability of an event and the probability of the complement of the event. Lat A the event of interest and A' the complement. The rule is defined by: P(A)+P(A') =1

Solution to the problem

Part a

P(X=12)=(25C12)(0.6)^{12} (1-0.6)^{25-12}=0.0760

Part b

For this case we want this probability:

P(X>17) = P(X=18) +....+P(X=25)

And we can use the following excel code: "=1-BINOM.DIST(17,25,0.6,TRUE)"

And we got:

P(X>17) = P(X=18) +....+P(X=25)= 0.154

Part c

For this case we want this probability:

P(X

And using the following excel code we got: "=BINOM.DIST(7,25,0.6,TRUE)"

And we got:

P(X

4 0
3 years ago
a red car is traveling 15 miles per hour faster than a blue car. if the red car travels 180 miles in the time needed for the blu
vlabodo [156]
Their distance differs by 15 miles for each hour of travel time. Thus, the travel time of interest is
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The red car's speed is 180 mi/(2.4 h) = 75 mi/h.
The blue car's speed is 144 mi/(2.4 h) = 60 mi/h.
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the LCD is 48 so

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5/16 = 15/48

now we can make a direct comparison...
from smallest to largest
1/8, 5/16, 7/12, 5/6
7 0
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