Answer:
17.8
Step-by-step explanation:
All you have to do is 8.9 x 2 = 17.8
HOPE HIS HELPS
Answer:
and
.
Step-by-step explanation:
According to the statement,
and
. Based on these definitions, at
produce:
. On the other hand, you have to:


Then, it can be affirmed that
and
.
Answer: 290951.87
Step-by-step explanation:
Hope this helps :D
Answer:
(3+5) = 8 times 8 = 64 64+(8-11)+Z=64+(-3) + Z=62+z= 62+2 = 64
64
Step-by-step explanation:
Answer:
Median
mean>median
Step-by-step explanation:
When the data is skewed to right the suitable average is median. Median is suitable because it is less effected by extreme values and thus locate the center of the distribution perfectly. Here the salaries of basket players are skewed to right and the best measure of central tendency to measure the center of distribution is median.
When the frequency distribution is rightly skewed then the relationship of mean and median is that mean is greater than median that is Mean>median.
Hence when the distribution is skewed to right the best choice to measure the center of distribution is median and when the data is skewed to right mean is greater than median.