Answer:

Step-by-step explanation:
We are given the following in the question:
Sample size, n = 67
Variance = 3.85
We have to find 80% confidence interval for the population variance of the weights.
Degree of freedom = 67 - 1 = 66
Level of significance = 0.2
Chi square critical value for lower tail =

Chi square critical value for upper tail =

80% confidence interval:

Putting values, we get,

Thus, (3.13,4.91) is the required 80% confidence interval for the population variance of the weights.
=20\4 +8
=5+8
=13 using bodmas will get u 13 and 13 is the answer
Answer:
-5≤x≤0
Explanation:
You need to use a symbol that shows that x can be both equal to and greater than -5 and also a sign that displays x as less than and equal to 0.
Answer:
27
Step-by-step explanation:
Alternatively, the lcm of 9 and 27 can be found using the prime factorization of 9 and 27: The prime factorization of 9 is: 3 x 3. The prime factorization of 27 is: 3 x 3 x 3. Eliminate the duplicate factors of the two lists, then multiply them once with the remaining factors of the lists to get lcm(9,9) = 27.
Answer:
The smallest sample size that will produce an interval with these specifications is 601.
Step-by-step explanation:
In a sample with a number n of people surveyed with a probability of a success of
, and a confidence level of
, we have the following confidence interval of proportions.

In which
z is the zscore that has a pvalue of
.
The margin of error is:

95% confidence level
So
, z is the value of Z that has a pvalue of
, so
.
He would like you to report a 95% confidence interval with a margin of error no more than 0.04. What is the smallest sample size that will produce an interval with these specifications?
We have to find n for which M = 0.04.
We dont know the true proportion, so we use
, which is when the smallest sample size needed will have it's largest value.






Rounding up
The smallest sample size that will produce an interval with these specifications is 601.