Answer:
= ( 50.66, 57.34)
Step-by-step explanation:
Confidence interval can be defined as a range of values so defined that there is a specified probability that the value of a parameter lies within it.
The confidence interval of a statistical data can be written as.
x+/-zr/√n
Given that;
Mean x = 54 ounces
Standard deviation r = 11.7 ounces
Number of samples n = 49
Confidence interval = 95%
z(at 95% confidence) = 2
Substituting the values we have;
54+/-2(11.7/√49)
54+/-2(1.671428571428)
54+/-3.342857142857
54+/-3.34
= ( 50.66, 57.34)
Therefore, the 95% confidence interval (a,b)
= ( 50.66, 57.34)
Thanks
Answer:
Step-by-step explanation:
The confidence interval for population proportion(p) is given by :-
, where = Sample proportion.
n= Sample size.
z* = Critical value.
Let p = Proportion of adults in the U.S. who have donated blood in the past two years.
As per given , we have
n= 2322
Sample proportion of adults in the U.S. who have donated blood in the past two years. :
By z-table , the critical value for 90% confidence : z*= 1.645
Then, the 90% confidence interval for the population proportion of adults in the U.S. who have donated blood in the past two years will be
Hence, the 90% confidence interval for the population proportion of adults in the U.S. who have donated blood in the past two years. =
He would need 5 1/4 cups of flour because 1 3/4*3/1 or 7/4*3/1 would equal
5 1/4
The answer is D
I hope that helps