Is the question multiple choice?
<em>They took 101 peaches to market.</em>
<u>Check:</u>
In the 1st hour, they sold (101/2 + 1/2) = 102/2 = 51. They had 50 left.
In the 2nd hour, they sold (50/3 + 1/3)=51/3=17. They had (50-17)=33 left.
In the 3rd hour, they sold (33/4 + 3/4) = 36/4 = 9. They had (33-9) = 24 left.
In the final hour, they sold (24/5 + 1/5) = 25/5 = 5. They had (24-5) = 19 left. yay!
Fiona and Camilla took their 19 remaining peaches and went home. Sharing with
their parents and their brother Rowlf, each person had 3.8 peaches for dinner.
There was a lot of activity in the bathroom overnight.
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The key to solving this one is to work it backwards.
-- They had 19 peaches left at the end of the day.
-- During the final hour, the 1/5 of a peach that they sold left them with 19,
so they had 19-1/5 before they sold the 1/5 of a peach.
The 19-1/5 was 4/5 of what they had at the beginning of the final hour.
So, at the beginning of the final hour, they had (5/4)x(19.2) = 24 .
-- During the 3rd hour, the 3/4 of a peach that they sold left them with 24,
so they had 24-3/4 before they sold the 3/4 of a peach.
The 24-3/4 was 3/4 of what they had at the beginning of that hour.
So, at the beginning of the 3rd hour, they had (4/3)x(24.75) = 33 .
Do the same for the 2nd hour.
Then do the same for the 1st hour.
And you'll work your way back up to 101 peaches.
-7 1/8 - (-9 1/2) =
-7 1/8 + 9 1/2
-7 + 9 = 2
-1/8 + 1/2 = -1/8 + 4/8 = 3/8
answer is : 2 3/8 (or 19/8)
The two nominal variables are related.
The following table summarises the data from a survey on the ownership of iPods among families with different levels of income.
Ownership C1 C2 C3
No 40 32 48
Yes 30 48 52
The first thing to do in order to determine if they are related or not is to state our null and alternative hypothesis
Null hypothesis
Alternative hypothesis
Using the Chi-square test statistics which can be expressed by using the formula

Ownership C1 C2 C3 Total
No 40 32 48 120
Yes 30 48 52 130
Total 70 80 100 250
The expected values are calculated as:













∴ Using the Chi-square test statistics, we have:





The degree of freedom df = ((r - 1) × (c - 1))
= (3 - 1) (2 -1 )
= 2 × 1
= 2
∴
Assuming the level of significance = 5%
The p-value of the Chi-square test statistics at df of 2 is:
= 
Therefore, we can conclude that since the p-value (0.111) is greater than the level of significance (0.05), we fail to reject the null hypothesis.
Hence, the two nominal variables are related.
Learn more about Chi-square test statistics here:
brainly.com/question/2365682?referrer=searchResults
Answer: B. Benford's law
Step-by-step explanation:
Benford's law created by Simon Newcomb is used to determine the number of times or percentage that a digit will occur in a series or collection of numbers