Answer:
2 pounds of turkey?
Step-by-step explanation:
Answer:
The remainder is 4.
Step-by-step explanation:
Note: This question is not correctly stated. It is therefore correctly restated before answering the question as follows:
When 17 is divided by k; where k is a positive integer less than 17, the remainder is 3. What is the remainder when the sum of the possible values of k is divided by 17?
The explanation of the answer is now given as follows:
Since k < 17, it implies that the possible values of k must be from between 1 and 16 inclusive.
Between 1 and 16, only 7 or 14 will give a remainder of 3 when either of them is used to divide 17. Therefore, 7 and 14 are the possible values of k.
Therefore, we have:
Sum of the possible values of k = 7 + 14 = 21
Also, we have:
Sum of the possible values of k divided by 17 = 21 / 17 = 1 with a remainder of 4.
Therefore, the remainder is 4 when the sum of the possible values of k is divided by 17.
Answer:
A sample size of 35 is needed.
Step-by-step explanation:
We have that to find our
level, that is the subtraction of 1 by the confidence interval divided by 2. So:

Now, we have to find z in the Ztable as such z has a pvalue of
.
So it is z with a pvalue of
, so 
Now, find the width W as such

In which
is the standard deviation of the population and n is the size of the sample.
How large must the sample size be if the width of the 95% interval for mu is to be 1.0:
We need to find n for which W = 1.
We have that
, then
. So





Rounding up
A sample size of 35 is needed.
Answer:
30
Step-by-step explanation:
50=1/2
1/2 of 60 is 30
Answer:
C. 19.23%
Step-by-step explanation:
We simply have to sum up all the times he had a six then divide that by all the times he rolled the die.
Total times he got 6: 5 + 3 + 11 + 11 = 30
Total times he rolled the die: 39 + 21 + 55 + 41 = 156
The experimental probability is then 30 / 156 = 19.23%
It's a bit higher than expected (1/6 or 16.66%), but the sampling is relatively small. If he were to throw it a thousand times, he'd probably be much close to the theoretical probability.