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DIA [1.3K]
3 years ago
13

What is 40 to the second power

Mathematics
2 answers:
Elza [17]3 years ago
8 0
1600 because 40 times 40 is 1,600 to the second power means you multiply the number times itself :)
Katyanochek1 [597]3 years ago
3 0
40 to the second power is 1600!
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Andrew is paid $4 per hour for the first 30 hours he works each week. He makes $5 per hour for each hour he works over 30 hours
rusak2 [61]

Answer:

f(w) = 120 + 5(30-h)

Step-by-step explanation:

It is given that, Andrew gets paid $4 for first 30 hours of the week

So,

For first 30 hours, his wage will be:

4(30) = $120

Now, let w denote wages and h denote total number or hours he works in the week

So he will be paid $5 for h-30 hours

So the function will be

f(w) = 120 + 5(30-h)

Where $120 is the fixed income for first 30 hours and the second term is the wage of hours more than 30 at the rate of $5 per hour..

3 0
3 years ago
What is 1,000 to the power of 4?
quester [9]
The answer to what is 1,000 to the power of 4 is 1,000,000
8 0
3 years ago
How to graph {8x +6y=48
jenyasd209 [6]
<span>How to graph {8x +6y=48 2x-3y=-6}
 The first thing you should do is to clear "y". Then, you must substitute values of x in the equation to find the values of "y". Finally, graph the points obtained. (see graphic)
</span><span> How do you convert this to slope intercept form?
</span> 8x +6y=48 ---> <span>y = -1.3333x + 8
</span> 2x-3y=-6 ---> <span>y = 0.6667x + 2</span>

4 0
3 years ago
Is it likely that the next 50 Sunday customers will spend an average of at least​ $40? Explain. Choose the correct answer below​
Brrunno [24]

Answer:

B. Yes it is likely. The probability that the next 50 Sunday customers will spend an average of at least​ $40 is P=0.0023.

Step-by-step explanation:

<em>The question is incomplete:</em>

<em>A grocery store’s receipts show that Sunday customer purchases have a skewed distribution with a mean of $32 and a standard deviation of $20.</em>

We have to assume certain conditions to calculate the probability that the next 50 Sunday customers will spend an average of at least​ $40.

First, this 50 purchases are representative of the total purchases made in the store (the same as saying it is a random sample).

Second, the 10% condition: the 50 sales represent less than 10% of all purchases.

Third, the sample of 50 sales is large enough to make an approximation to the normal distribution.

If all these conditions are met, we can approximate the probabiltity that the next 50 Sunday customers will spend an average of at least​ $40.

We have a sampling distribution, with mean 32 (equal to the population mean) and standard deviation:

\sigma_M=\dfrac{20}{\sqrt{50}}=\dfrac{20}{7.07}=2.83

Then, we calculate the z-score

z=\dfrac{X-\mu_M}{\sigma_M}=\dfrac{40-32}{2.83}=\frac{8}{2.83} =2.83

The probabilty can be calculated then as:

P(X_{50}>40)=P(z>2.83)=0.0023

5 0
3 years ago
PLEASE HELP ME IDK THE ANSWER PLEASE
Klio2033 [76]
The answer would be 9.2
8 0
4 years ago
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