Dave krug finances a new automobile by paying $6,500 cash and agreeing to make 40 monthly payments of $500 each, the first payme
1 answer:
You might be interested in
Answer:
a. A) Yes; as sample size increases, effect size increases.
b. A) The critical value increases.
Step-by-step explanation:
a.
If all possible samples of size N are drawn from a finite population, Np, without replacement, and the standard deviation of the mean values of the sampling distribution of means is determined then:
σx =d √N
d = σx . √N
d ∞ N
from this, we can say d is directly proportional to √N
where σx is the standard deviation of the sampling distribution of means and d is the standard deviation of the population’. The standard deviation of a sampling distribution of mean values is called the standard error of the means,
therefore, we can conclude that:
A) Yes; as sample size increases, effect size increases.
b.
In this estimate, tc is called the confidence coefficient for small samples, d is the standard deviation of the sample, x is the mean value of the sample and N is the number of members in the sample.
When determining the t-value, given by
t =(
(x−µ) /s) *
it is necessary to know the sample parameters x and s and the population parameter µ. x and s can be calculated for the sample, but usually an estimate has to be made of the population mean µ, based on the sample mean value.
from the above equation it can be deduced that t value is determined with the sample size, and as the sample size increases
A) The critical value increases.
There are 26 integers in the set 
. If the wavelength of light is uniformly distributed, then the probability that it has a wavelength of any one of these integers is 
, so the distribution of wavelengths has probability mass function
The mean (expected value) is given by
and the variance by
First, the mean:
(rounded up from an exact value of 642.5)
Now for the variance:
Meanwhile,
, which gives a total variance of
(rounded up from 56.5)
The mean (expected value) is given by
and the variance by
First, the mean:
(rounded up from an exact value of 642.5)
Now for the variance:
Meanwhile,
(rounded up from 56.5)