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EleoNora [17]
3 years ago
6

What is the partial product for 28x15

Mathematics
2 answers:
zzz [600]3 years ago
4 0
28           28*5=140
*             28*10=280
15                     

280+140=320



crimeas [40]3 years ago
3 0
320
I am positive it's correcf
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If you buy tomato sauce for $.90 a quart how much does it cost for 5 pints
Dima020 [189]
<h2>Hello!</h2>

The answer is: the price of 5 pints of tomato sauce is $2.25.

<h2>Why?</h2>

To calculate how much does it cost 5 pints, we need to perform a unit conversion with the following  unit relationship:

0.5Quart=Pints

Now, calculating how much is a pint:

\frac{0.9}{quarter}*\frac{0.5Quart}{1Pint}=0.45

A pint is $0.45.

Then, calculating how much are 5 pints:

Price=0.45*NoOfPints=0.45*5=2.25

Hence, the price of 5 pints of tomato sauce is $2.25.

Have a nice day!

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After John worked at a job for 10 years, his salary doubled. If he started at $x, his salary after 10 years is _____.
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After ten years his salary is x2
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Find the probability of at least 6 failures in 7 trials of a binomial experiment in which the probability of success in any one
oksano4ka [1.4K]

Answer:

P(x \geq 6)=P(X=6)+P(X=7)

And we can find the individual probabilities:

P(X=6)=(7C6)(0.91)^6 (1-0.91)^{7-6}=0.358

P(X=7)=(7C7)(0.91)^7 (1-0.91)^{7-7}=0.517

And replacing we got:

P(x \geq 6)=P(X=6)+P(X=7)= 0.358+0.517=0.875

Step-by-step explanation:

Previous concepts

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".

Solution to the problem

Let X the random variable of interest, on this case we now that:

X \sim Binom(n=7, p=1-0.09=0.91)

The probability associated to a failure would be p =1-0.09 = 0.91

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!}

And we want to find this probability:

P(x \geq 6)=P(X=6)+P(X=7)

And we can find the individual probabilities:

P(X=6)=(7C6)(0.91)^6 (1-0.91)^{7-6}=0.358

P(X=7)=(7C7)(0.91)^7 (1-0.91)^{7-7}=0.517

And replacing we got:

P(x \geq 6)=P(X=6)+P(X=7)= 0.358+0.517=0.875

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Orlov [11]
Answer: 7.6

Explanation:
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