The answer is 21 because that’s when I finally touch a goldfish
Answer:
the standard error of the proportion is 0.0272
Step-by-step explanation:
We have that if the sample size is greater than 5% of the entire population, a finite population correction factor (fpc) is multiplied with the standard error
:
fpc = 
We know that N = 250 n = 91, replacing:
fpc = 
fpc = 0.799
Now, the formula would then be:
SE = 
*fpc
Now replacing, knowing that p = 0.12
SE= 
*0.799
SE = 0.0272
So the standard error of the proportion is 0.0272
The coefficient is 2
the base is x
the exponent is ^5
thx plz mark brainliest
Answer:
The objective of the confidence interval is to give a range in which the real mean of the population is placed, with a degree of confidence given by the level of significance.
The conclusion we can make is that there is 95% of probability that the mean of the population (professor's average salary) is within $99,881 and $171,172.
Step-by-step explanation:
This is a case in which, from a sample os size n=16, a confidence interval is constructed.
The objective of the confidence interval is to give a range in which the real mean of the population is placed, with a degree of confidence given by the level of significance. In this case, the probability that the real mean is within the interval is 95%.
The unknown variables are how many tickets are being bought and the total.
t=tickets
x=total
44t+12=x
