Wouldn't it be -1 (minus one)? 12 - 1 = 11 and 9 - 1 = 8.
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Divide by 2 to get 1/3 of the week:
1/4 / 2 = 1/8
Multiply by 3 to get the full week:
1/8 x 3 = 3/8
Thus your answer is B. 3/8
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Answer:
The answer to your question is 0.057 ha
Step-by-step explanation:
Data
Kilocalories needed for a person per day = 2450
Kilocalories produced per hectare = 15737000
Process
1.- Calculate the number of kcal needed per a person for a year
2450 kcal ----------------- 1 day
x ----------------- 365 days
x = (365 x 2450) / 1
x = 894250 kcal
2.- Calculate the amount of land needed
15737000 kcal ------------- 1 ha
894250 kcal ------------ x
x = (894250 x 1) / 15737000
x = 0.057 ha
Answer:
1) Multiplying powers with the same base would be product rule. It where you just add the exponents. Dividing powers with the same base would be the quotient rule. Its where you subtract the exponents.
2)Where you multiply the two exponents together
3)The negative law is where for example, if it were in the numerator, then it would be placed at the denominator with a positive exponent whereas if it were in the denominator it would be on the numerator with the positive exponent. The zero law just states the anything to the power to zero is one.
Step-by-step explanation:
1) 3^3 x 3^4 = 3 ^3+4 = 3^7
3^9 ÷3² = 3^9-2 = 3^7
2) (3^2)^2 = 3^2×2 =3^4
3) 1/3^-5 = 3^5 \
3^-7 =1/3^7
2^0 = 1
Answer:
The probability table is shown below.
A Poisson distribution can be used to approximate the model of the number of hurricanes each season.
Step-by-step explanation:
(a)
The formula to compute the probability of an event <em>E</em> is:
Use this formula to compute the probabilities of 0 - 8 hurricanes each season.
The table for the probabilities is shown below.
(b)
Compute the mean number of hurricanes per season as follows:
If the variable <em>X</em> follows a Poisson distribution with parameter <em>λ</em> = 7.56 then the probability function is:
Compute the probability of <em>X</em> = 0 as follows:
Compute the probability of <em>X</em> = 1 as follows:
Compute the probabilities for the rest of the values of <em>X</em> in the similar way.
The probabilities are shown in the table.
On comparing the two probability tables, it can be seen that the Poisson distribution can be used to approximate the distribution of the number of hurricanes each season. This is because for every value of <em>X</em> the Poisson probability is approximately equal to the empirical probability.
