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Contact [7]
3 years ago
11

Each morning, Hungry Harry eats some eggs. On any given morning, the number of eggs he eats is equally likely to be 1, 2, 3, 4,

5, or 6, independently of what he has done in the past. Let X be the number of eggs that Harry eats in 10 days. Find the mean and variance of X.
Mathematics
1 answer:
mamaluj [8]3 years ago
3 0

Answer:

Mean = 35

Variance = 291.7

Step-by-step explanation:

Data provided in the question:

X : 1, 2, 3, 4, 5, 6

All the data are independent

Thus,

The mean for this case will be given as:

Mean, E[X] = \frac{\textup{Sum of all the observations}}{\textup{Total number of observations}}

or

 E[X] = \frac{\textup{1+2+3+4+5+6}}{\textup{6}}

or

E[X] = 3.5

For 10 days, Mean = 3.5 × 10 = 35

And,

variance = E[X²] - ( E[X] )²

Now, for this case of independent value,

E[X²] = \frac{1^2+2^2+3^2+4^2+5^2+6^2}{\textup{6}}

or

E[X²] = \frac{1+4+9+16+25+36}{\textup{6}}

or

E[X²] = \frac{91}{\textup{6}}

or

E[X²] = 15.167

Therefore,

variance = E[X²] - ( E[X] )²

or

variance = 15.167 - 3.5²

or

Variance = 2.917

For 10 days = Variance × Days²

= 2.917 × 10²

= 291.7

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A family went on vacation and used 45.3 gallons of gasoline to travel 150 miles. How many total gallons of gasoline will they ne
victus00 [196]

Answer:

d) 105.7\ \text{gallons}

Step-by-step explanation:

150\ \text{miles} requires 45.3\ \text{gallons of fuel}

1\ \text{mile} requires \dfrac{45.3}{150}\ \text{gallons of fuel}

200\ \text{miles} requires 200\times \dfrac{45.3}{150}=60.4\ \text{gallons of fuel}

So, total amount of gasoline required for the trip is 60.4+45.3=105.7\ \text{gallons}.

6 0
3 years ago
Rachel needs two tables for her birthday party. How many chairs will she need?
loris [4]

Answer: it Depends

Step-by-step explanation:

Not enough info given

3 0
3 years ago
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Write the prime factorization of 6. Use exponents when appropriate and order the factors from least to greatest (for example, 2²
Gala2k [10]

Answer:

prime factorization of 6: 2x3

Step-by-step explanation:

to find the prime factorization of any number Step 1: Start by dividing the number by the first prime number 2 and continue dividing by 2 until you get a decimal or remainder. Then divide by 3, 5, 7, etc. until the only numbers left are prime numbers. Step 2: Write the number as a product of prime numbers.

6 0
3 years ago
Maureen spends four times as long riding the train each day as riding the bus. If she spends 75 minutes on the bus and the train
yulyashka [42]

Answer:

60 minutes or 1 hour

Step-by-step explanation:

Set x as the amount of time she spends riding the bus

75 = time on bus + time on train

She spends 4 times as long on the train as on the bus so the time she spends on the train is 4x

75 = x + 4x

75 = 5x

x = 15 minutes on the bus

Since she spends 4 times as long on the train, we do 4 x 15 and we get 60 minutes which is 1 hour

7 0
3 years ago
"The municipal transportation authority determined that 58% of all drivers were speeding along a busy street. In an attempt to r
vredina [299]

Answer:

a) X=77 drivers

b) Power of the test = 0.404

c) Increasing the sample size.

Step-by-step explanation:

This is a hypothesis test of proportions. As the claim is that the speed monitors were effective in reducing the speeding, this is a left-tail test.

For a left-tail test at a 5% significance level, we have a critical value of z that is zc=-1.645. This value is the limit of the rejection region. That means that if the test statistic z is smaller than zc=-1.645, the null hypothesis is rejected.

The proportion that would have a test statistic equal to this critical value can be expressed as:

p_c=\pi+z_c\cdot\sigma_p

The standard error of the proportion is:

\sigma_p=\sqrt{\dfrac{\pi(1-\pi)}{n}}=\sqrt{\dfrac{0.58*0.42}{150}}\\\\\\ \sigma_p=\sqrt{0.001624}=0.04

Then, the proportion is:

p_c=\pi+z_c\cdot\sigma_p=0.58-1.645*0.04=0.58-0.0658=0.5142

This proportion, with a sample size of n=150, correspond to

x=n\cdot p=150\cdot0.5142=77.13\approx 77

The power of the test is the probability of correctly rejecting the null hypothesis.

The true proportion is 0.52, but we don't know at the time of the test, so the critical value to make a decision about rejecting the null hypothesis is still zc=-1.645 corresponding to a critical proportion of 0.51.

Then, we can say that the probability of rejecting the null hypothesis is still the probability of getting a sample of size n=150 with a proportion of 0.51 or smaller, but within a population with a proportion of 0.52.

The standard error has to be re-calculated for the new true proportion:

\sigma_p=\sqrt{\dfrac{\pi(1-\pi)}{n}}=\sqrt{\dfrac{0.52*0.48}{150}}\\\\\\ \sigma_p=\sqrt{0.001664}=0.041

Then, we calculate the z-value for this proportion with the true proportion:

z=\dfrac{p-\pi'}{\sigma_p}=\dfrac{0.51-0.52}{0.041}=\dfrac{-0.01}{0.041}=-0.244

The probability of getting a sample of size n=150 with a proportion of 0.51 or lower is:

P(p

Then, the power of the test is β=0.404.

The only variable left to change in the test in order to increase the power of the test is the sample size, as the significance level can not be changed (it is related to the probability of a Type I error).

It the sample size is increased, the standard error of the proprotion decreases. As the standard error tends to zero, the critical proportion tend to 0.58, as we can see in its equation:

\lim_{\sigma_p \to 0} p_c=\pi+ \lim_{\sigma_p \to 0}(z_c\cdot\sigma_p)=\pi=0.58

Then, if the critical proportion increases, the z-score increases, and also the probability of rejecting the null hypothesis.

5 0
4 years ago
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