Answer:
Given that Justin is collecting data on reaction time, what type of data is he working with? Reaction time is continuous quantitative data because it is obtained by measuring and is not limited to a certain set of numbers.
If you assume doubling the workers will halve the time taken to finish then 12 analysts will take 21 days
To finish in 7 days (1/6 of 42 days) you would need 6 x the original number = 36 analysts.
Brook’s Law (see Wikipedia) suggests than adding extra analysts will actually slow the project down!
One reason is the extra people tend to get in each others way.
The confidence interval is

We first find p, our sample proportion. 118/200 = 0.59.
Next we find the z-score associated with this level of confidence:
Convert 98% to a decimal: 98% = 98/100 = 0.98
Subtract from 1: 1-0.98 = 0.02
Divide by 2: 0.02/2 = 0.01
Subtract from 1: 1-0.01 = 0.99
Using a z-table (http://www.z-table.com) we see that this value is associated with a z-score of 2.33.
The margin of error (ME) is given by

This gives us the confidence interval
Answer:
x(
x
−
5
)
(
x
+
2
)
Step-by-step explanation:
Answer:
see below
Step-by-step explanation:
butterfly = x minutes
breast = y minutes
total is 50 minutes
breast stroke = butterfly +20
Part A
x+y = 50
y = x+20
Part B
Substitute the second equation into the first
x+ (x+20) = 50
2x+20 = 50
2x+20-20 = 50-20
2x = 30
2x/2 = 30/2
x = 15
y = x+20
y = 20+15
y = 35 minutes
35 minutes on the breast stroke
Part C
45 minutes on the butterfly is not reasonable
We only have a total of 50 minutes
50-45 = 5
But he spend more time on the breast stroke ( 20 minutes more), but if he spend 45 minutes on the butterfly, he would have to spend less on the breast stroke.