-3y + 4 + 5y = 2(y - 1)
2y + 4 = 2(y-1)
2y + 4 = 2y - 2
2y = 2y + 2
0
2
So this function has no answer
2y + 4 = 2(y-1)
2y + 4 = 2y - 2
2y = 2y + 2
0
So this function has no answer
Is 37,225,976 divisible by 2? YES or NO HELP ME PLZ! T^T
2 answers:
Hello There! :D
Answer:
<em>The </em><em>Correct </em><em>Answer is Yes!</em>
Step-by-step explanation:
<h3>Divisibility Rule of 2</h3>- <em>If a number is even or a number whose last digit is an even number i.e. 2,4,6,8 including 0, it is always completely divisible by 2.</em>
<em />
<em>Example: </em><em>508 is an even number and is divisible by 2 but 509 is not an even number, hence it is not divisible by 2. Procedure to check whether 508 is divisible by 2 or not is as follows:</em>
<em />
- <em>Consider the number 508</em>
- <em>Just take the last digit 8 and divide it by 2</em>
- <em>If the last digit 8 is divisible by 2 then the number 508 is also divisible by 2.</em>
<em>That's showing you how to Divde by 2 and The Answer to Is 37,225,976 ÷ 2 is </em>
<em> ⇒If you have any doubts let me know!</em>
<em> ⇒Have an Awesome Wednesday!</em>
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Answer:
a) Mean= 15, standard deviation= 5.1575
b) Mean= 15, standard deviation= 3.6469
c) See below
Step-by-step explanation:
(a) Compute the mean and standard deviation for the 10 cases for which x is not missing.
The mean using the ten known values is
The standard deviation is
(b) Create a new data set with 20 cases by using imputation where you set the values for the 10 missing cases equal to the mean that you computed in the previous part. Compute the mean and standard deviation for this new data set with 20 cases.
The new data set would be
17, 6, 12, 14, 20, 23, 9, 12, 16, 21, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15
The new mean for this set of values would be then
The new standard deviation is now
(c) Summarize what you have learned about the possible effects of this type of imputation on the mean and the standard deviation.
Obviously, this way of imputation is somewhat arbitrary and will produce a set of data undoubtedly skewed.
It could possibly be a sensible way of imputing data if the amount of missing data is very little compared to the whole set, for example one or two data in a set of 100, but in this case we have 50% of missing data and it makes no sense this procedure.