Step-by-step explanation:
Repeated Addition:
3/4 +3/4 +3/4 +3/4 = 12/4 = 3
The denomenator will stay the same (4). So all you need to do is add the numerator (top. number in the fracton, 3)
It is the same logic as a basic multiplication problem using reapeted additon
(see example below:)
10 * 5 = 50
10 +10 +10 +10 +10 = 50
Multiplication:
4 * 3/4 = 12/4 = 3
You should not multiply the denomerator. You should only multiply the numerator. So you multiply 4 times 3 and get 12. So, you should get 12/4.
I apologize for my bad spelling.
Answer:
The mean of the sampling distribution of means for the 36 students is of 18.6 homework hours per week.
Step-by-step explanation:
Central Limit Theorem
The Central Limit Theorem estabilishes that, for a normally distributed random variable X, with mean
and standard deviation
, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean
and standard deviation
.
For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.
In this question:
For the population, the mean is 18.6. So, by the Central Limit Theorem, the mean of the sampling distribution is also 18.6.
Answer:
Step-by-step explanation:
This is your eqaution right?
4y=8x+3 , 2y=8x-3
This equation has one solution
30% as a fraction would be 3/10 ! :D
This is the formula for computing the required rate of return in a market: E(R)<span> = Rf + ß( R<span>market </span>- R<span>f </span>). This is called as the Capital Asset Pricing Model (CAPM). The E(R) represents the required rate of return; the Rf is the risk-free rate; the </span>ß is the beta coefficient (which we are looking for); and the Rmarket is the rate of return on the market. Substituting the values to this formula, you can come up with the beta coefficient of 1.4.