Answer:
B. take up less space than when the data set is not organized
Step-by-step explanation:
Well, in this question, you can analyze one answer after the other.
In A see important values in the data set, this makes sense when determining mode and median of a data set.Median is the center value in a data set, while mode is the repeated value in the set.When data set is arranged from smallest to the largest, the median and mode can be seen clearly.These can be the important values in the data set
In C. More easily see the maximum and minimum values in the data set, is possible especially when data is arranged in an increasing order.The smallest value will start, where as the largest value will be at the end.This applies to D too.
However in B, it will depend with the manner you would like to analyze the data.For example organizing data using tables will make your data easy to understand and present your analysis.Another person will group the data in intervals to identify the frequency of in data set.So, you see, its not about space taken by data but how you would like to present your data when analyzing it.
Hope this helps.
Answer:
48 hops/minute
Step-by-step explanation:
12 hops/15 seconds * 60 seconds/1 minute = 720 hops/15 minutes
simplify: 48 hops/minute
Answer:
15,240,960 serial numbers
Step-by-step explanation:
Since no repeats are allowed and the order matters, the number of possible serial numbers is given by the product of the permutation of 4 out of 9 letters by the permutation of 4 out of 10 numbers:

There are 15,240,960 ways to generate a serial number.
The third image.
Hope this helps:)
Answer:
0.8675
Step-by-step explanation:
Given that people ages 16-30 make up 15% of drivers on the road, 80% of drivers are aged 31-64, and 5% of drivers are aged 65+.
Furthermore, suppose drivers in each age range cause car accidents at the rates of 6%, 4%, and 9%, respectively.
age 16-30 31-64 >65
Prob 0.15 0.8 0.05 1
Prob for accidents 0.06 0.09 0.04
Product 0.009 0.072 0.002 0.083
Prob for 31-64 causing it/accident =
Using Bayes theorem we got answer as 0.8675