Answer:
The center/ mean will almost be equal, and the variability of simulation B will be higher than the variability of simulation A.
Step-by-step explanation:
Solution
Normally, a distribution sample is mostly affected by sample size.
As a rule, sampling error decreases by half by increasing the sample size four times.
In this case, B sample is 2 times higher the A sample size.
Now, the Mean sampling error is affected and is not higher for A.
But it's sample is huge for this, Thus, they are almost equal
Variability of simulation decreases with increase in number of trials. A has less variability.
With increase number of trials, variability of simulation decreases, so A has less variability.
Answer:
b. can be larger, smaller, or equal to the number of degrees of freedom for the denominator.
Step-by-step explanation:
The distribution of all possible values of the f statistic is called an F distribution with various degree of freedom. For an F distribution, the F statistic is greater than or equal to zero and as the degrees of freedom for the numerator and for the denominator get larger, the curve approximates the normal.
For an F distribution, the number of degrees of freedom for the numerator can be larger, smaller, or equal to the number of degrees of freedom for the denominator.
Answer:
A. f(s) = 2s + 34
B. Mole
C. f(s) = 2s + 54
Step-by-step explanation:
A. Its a prediction the 34 can be any number reasonably close to 25
B. Amount of substance - mole (mole)
c. f(s) = 2s + 54
For this case we have a function of the form:

Where,
A: initial amount
b: decrease rate
x: time in years
Substituting values we have:

For 2010 we have:
Answer:
an exponential decay function to model this situation is:
y = 1300 * (0.97) ^ x
The population in 2010 is:
y = 1083