<u>Answer:</u>
1 and 5 are correct.
<u>Step-by-step explanation:</u>
1. The mean is affected by outliers. - TRUE
(the mean is the average so each of its values affect it.)
2. The mean is always a more accurate measure of center than the median. - FALSE
(the mean gives a better idea of the values while the the central values for normal distributions are described using the median value.)
3. Removing an outlier from a data set will cause the standard deviation to increase. - FALSE
(it makes the data set more normal by reducing the standard deviation, not increasing it. )
4. If the data set’s distribution is skewed, then 95%of its values will fall between two standard deviations of the mean. - FALSE
(the 68-95-99.9 rule works for the normal distribution, but the skewed distribution.)
5. If a data set’s distribution to skewed to the right, its mean will be larger than its median. - TRUE
(the mean is always pulled towards the direction of the skewness.)
Answer:
3(4n) + 2 + 6n
12n + 2 + 6n
12n + 6n + 2
18n + 2 is not equal to 13n + 2
hence both the expression are not equivalent
Answer:
56.28
The drawings show the work
Answer:90
Step-by-step explanation:
Multiply by 10
Answer:Its D.
Step-by-step explanation:If you keep adding 183 up until 6 hours it will give you 732
