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AleksAgata [21]
3 years ago
8

You have prizes to reveal! Go to your garne

Mathematics
1 answer:
pickupchik [31]3 years ago
5 0
1 ton = 2,000 pounds

3 tons = $3,840
2,000 lbs = $3,840
Divide by 2,000
1 lbs = $1.92

The price per pound is $1.92
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Does anyone know this it sounds simple but there is usually something else to it so I’m not sure.
dedylja [7]

Answer:

its 7

Step-by-step explanation:

it is pretty simple just try not to over think it

8 0
3 years ago
Adrian has 256 money by the end of month 4, at month 1 he had saved 4 dollars, use an exponent in an expression to represent how
ioda

Answer:

The required expression would be 4(4)^{t-1}

Step-by-step explanation:

Since, the amount formula is,

A=P(1+r)^t

Where,

P = invested amount,

t = number of periods,

r = rate per period,

Given,

The invested amount at month 1, P = 4,

Number of periods from month 1 to month 4, t = 3

Amount at the end of fourth month, A = 256.

By substituting the values,

256=4(1+r)^3

64=(1+r)^3

 4=1+r

r = 4-1=3

Hence, the amount of money at the end of t months.

A=4(4)^{t-1}

7 0
4 years ago
What is five thousand two hundred twenty-five and seventy-two thousandths expressed in standard form?
miv72 [106K]
5,225.072 is the standard form. 
6 0
3 years ago
Read 2 more answers
Does anyone know the question?
xenn [34]

Answer:

C

Step-by-step explanation:

It is c because all the angles are below 90 degrees and isosceles only have two of the same angles

7 0
3 years ago
If a car agency sells 50% of its inventory of a certain foreign car equipped with side airbags, find a formula for the probabilit
antiseptic1488 [7]

Answer:

Let X the random variable of interest "number of cars with side airbags among the next 4", on this case we now that:

X \sim Binom(n=4, p=0.5)

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 the distribution is given by:

P(X)= (4CX) (0.5)^x (1-0.5)^{4-x}

With X=0,1,2,3,4

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".

Solution to the problem

Let X the random variable of interest "number of cars with side airbags among the next 4", on this case we now that:

X \sim Binom(n=4, p=0.5)

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 the distribution is given by:

P(X)= (4CX) (0.5)^x (1-0.5)^{4-x}

With X=0,1,2,3,4

3 0
3 years ago
Read 2 more answers
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