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trasher [3.6K]
3 years ago
14

Ms.Hill travels 2400 miles at a rate of 400 miles per day to visit her grandchildren. How many days will it take to complete the

trip.
Mathematics
2 answers:
MArishka [77]3 years ago
8 0
For this question, you just divide 2400 by 400 and get how many days it'll take! which, is 6
Anika [276]3 years ago
7 0
That would depend on how many miles away her grandchildren live.

had you said, Ms. Hill travels 2400 miles at a rate of 400 miles a day to visit her grandchildren who live, (either 6 days away via car...or even...who live 16, 432 miles away) I'd have a destination.

but then again... I could be wrong.
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RUDIKE [14]

Answer:

12.5

Step-by-step explanation:

8 0
2 years ago
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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
F
galina1969 [7]
It’s F because I took the test
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Step-by-step explanation:


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