The mean is affected by outliers.
- TRUE - the mean is the average, so each value affects it.
The mean is always a more accurate measure of center <span>than the median.
- FALSE: Although the mean gives a better idea of the values, the center for Normal distributions is described using the median value.
</span>Removing an outlier from a data set will cause the standard deviation to increase.
- FALSE: Removing an outlier from a data set makes the data more Normal, reducing the standard deviation, not increasing it.
If a 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 a bell-curve distribution, a.k.a. a Normal distribution, not a skewed distribution.
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 in the direction of the skewness.
Answer:
I would think it's X= -29 1/3
Step-by-step explanation:
You have 20 1/3 already, and to get to a negative when you have a positive number, to the positive you would need to add a larger negative. (If that makes any sense, it's hard to explain.) So you have to get rid of the 20 1/3 and you have to get to -9, so I would add a 9 to 20 1/3 to get 29 1/3, and make that number negative because then it will cancel the positive out. Making it -9.
Answer:
12
Step-by-step explanation:
subtract 2n from both sides and it cancels out with n on the right side and 12 on the other
5 kilograms for 5000 grams