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Sergeeva-Olga [200]
3 years ago
5

200 kids and 10 adults are going on a field trip. How many buses do they need, if a bus holds 45 people

Mathematics
1 answer:
Sergeu [11.5K]3 years ago
6 0

Answer:

5 total busses

Step-by-step explanation:

Add kids and adults - 210

Divide 210 by 45 and get 4.67

Answer is 5 because you have to fit everyone so you will have extra seats on one bus.

Hope this helps!

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The average production cost for major movies is 65 million dollars and the standard deviation is 18 million dollars. Assume the
Lemur [1.5K]

Answer:

Step-by-step explanation:

Hello!

The variable of interest is

X: production cost of a major move

Its average is μ= 65 million dollars, and standard deviation σ= 18 million dollars.

a)

This variable has a normal distribution X~N(μ;σ²)

X~N(65;324)

b)

The distribution of the sample mean has the same shape as the distribution of the variable, but its variance is affected by the sample size:

\frac{}{X}~N(μ;σ²/n) ⇒ \frac{}{X}~N(65;8.3077)

σ²/n= 324/39= 8.30769≅ 8.3077

c)

You have to calculate the probability of a single movie costing between 69 and  66 million dollars, symbolically:

P(66≤X≤69)= (X≤69)-P(X≤66)

You have to use the standard normal distribution to calculate this probability, so first you have to calculate the Z values that correspond to each value of X using: Z= (X-μ)/σ  ~ N(0;1)

Z₁= (69-65)/18= 0.22

Z₂=(66-65)/18= 0.05

Now you look for the corresponding probability values using the standard normal table

P(Z≤0.22)= 0.58706

P(Z≤0.05)= 0.51994

P(66≤X≤69)= (X≤69)-P(X≤66)

P(Z≤0.22)-P(Z≤0.05)= 0.58706 - 0.51994= 0.06712

d)

Now you have to calculate the probability of the average production cost to be between 69 and 66 million. Since the probability is for the average value of the sample, you have to work using the distribution of the sample mean. The values od Z are to be calculated using the formula Z=  (\frac{}{X}-μ)/(σ/√n)

σ/√n= 2.8823

P(66≤\frac{}{X}≤69)= (\frac{}{X}≤69)-P(\frac{}{X}≤66)

Z₁= (69-65)/2.8823= 1.387= 1.39

Z₂= (66-65)/2.8823= 0.346= 0.35

P(Z≤1.39)-P(Z≤0.35)= 0.91774 - 0.63683= 0.28091

e)

No

If the variable has an unknown or non-normal distribution, but the sample is large enough (normally a sample n≥30 is considered to be large) you can apply the central limit theorem and approximate the sampling distribution to normal.

I hope this helps!

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