Answer:
1) B. The height appear to be reported because there are disproportionately more 0s and 5s.
2) A. They are likely not very accurate because they appear to be reported.
Step-by-step explanation:
The distribution table is shown below:
Last Digit Frequency
0 9
1 1
2 1
3 3
4 1
5 11
6 1
7 0
8 3
9 1
1. Based on the distribution table, we see a very disproportionate distribution. There is a high frequency of 0's and 5's. This lays credence to the heights being reported rather than measured. As such, option B is the correct answer
<u>B. The height appear to be reported because there are disproportionately more 0s and 5s</u>.
2. Since the heights were reported and not measured, they are most certainly not accurate. The conclusion is that the result is not accurate. As such, option A is the correct answer
<u>A. They are likely not very accurate because they appear to be reported</u>.
The correct answer is: <span>D. The regression line is not a good model because the points in the residual plot form a curve. (i know this because i just passed the test ;) )</span>
90% of "a" is 44.......turn ur percent into a decimal...." of " means multiply..." is " means equals...
0.90a = 44...divide both sides by 0.90
a = 44 / 0.90
a = 48.89.....this is rounded
what is 30% of 3a.....and we know that "a" is 48.89...
0.30(3 * 48.89) = 0.30(146.67) = 44 <=== ur answer
Answer: The required probability is 0.008.
Step-by-step explanation:
Since we have given that
Probability of bachelor's degree = 0.45
Probability of working in nursing = 0.85
Probability of both = 0.4
So, Probability of getting a graduate is currently working in nursing, given that they earned a bachelor's degree would be :
Hence, the required probability is 0.008.
Answer:
30
Step-by-step explanation:
the formula is a^2+b^2=c^2
18^2+24^2=c^2
900=c^2
c=30
