Answer:
B C and E
Step-by-step explanation:
Answer:
she flew 1h 30m and ran 30m
Step-by-step explanation:
First we have to make 2 equations, one that represents the distance that it traveled and another that represents the time that it ran
x = time she ran
y =
time she flew
x + y = 2h
x * 12 + y * 76 = 120
we clear x in the first equation
x + y = 2
x = 2 - y
we replace x with (2 - y) in the second equation
x * 12 + y * 76 = 120
(2 - y) * 12 + y * 76 = 120
24 - 12y + 76y = 120
-12y + 76y = 120 - 24
64y = 96
y = 96/64
y = 3/2
this means that 1 hour and a half was flying
x = 2 - y
x = 2 - 3/2
x = 1/2
this means that half hour was runing
Answer:
The answer is c.
Step-by-step explanation:
This is because the slope is a negative, and since letter a, has a positive slope, it's out of the picture. Just by the looks of b, you can tell that the why intercept isn't 5. It looks like its y-intercept is 0. Letter d, also doesn't have a positive y-intercept so it's also out of the picture. Which leaves letter c. It has a positive slope and it looks like it has 5 as a y-intercept.
Answer: a) b)
Step-by-step explanation:
Since we have given that
Number of men = 4
Number of women = 2
So, number of selected people = 2
So, the probability that both officers are women would be
And the probability that at least one of the two officers is a woman would be
Hence, a) b)
Answer:
See the explantion below
Step-by-step explanation:
The margin of error is the range of values below and above the sample statistic in a confidence interval.
Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".
Assuming the X follows a normal distribution
We know that the margin of error for a confidence interval is given by:
(1)
If we see the formula (1) at the same confidence level, for example 95% and with the same sample size the margin of error just depends of the deviation. If the population deviation for population A is higher than the population deviation for B then A will have more margin of error than B.
On the other case if the deviation for population A is lower than the deviation for population B, then we will have less margin of error for population A than population B.
And the other possible case if both population have the same deviation, then both have equal margin of error.