First you find the median, by taking 893+954 and dividing the sum of those two numbers by 2. The median is 923.5. Then you take and find the median of the numbers before the median which is 513. That is your lower quartile. Then you find the median of the numbers below the median, which is 1038. That is your upper quartile. The interquartile range is your upper quartile minus your lower quartile.
Therefore, your answer would be:
Median- 923.5
Lower Quartile- 513
Upper Quartile- 1038
Interquartile Range- 525
Answer:
0.0177 = 1.77% probability that the first defect is caused by the seventh component tested.
The expected number of components tested before a defective component is found is 50, with a variance of 0.0208.
Step-by-step explanation:
Assume that the probability of a defective computer component is 0.02. Components are randomly selected. Find the probability that the first defect is caused by the seventh component tested.
First six not defective, each with 0.98 probability.
7th defective, with 0.02 probability. So

0.0177 = 1.77% probability that the first defect is caused by the seventh component tested.
Find the expected number and variance of the number of components tested before a defective component is found.
Inverse binomial distribution, with 
Expected number before 1 defective(n = 1). So

Variance is:

The expected number of components tested before a defective component is found is 50, with a variance of 0.0208.
Answer:
72.0
Step-by-step explanation:
It is 46 if you divide 34 by 16 you get 2.125 then divide 100 by 2.125 and you get 47.05 the 0 means go down if you are rounding which brings it to 46
Step-by-step explanation:
15,729 = 10 000 + 5 000 + 700 + 20 + 9
= (1 x 10000) + (5 x 1000) + (7 x 100) + (2 x 10) + (9 x 1)
We can also write it like this :
(1 x 10⁴) + (5 x 10³) + (7 x 10²) + (2 x 10¹) + (9 x 10⁰)