I'm carrying out an investigation to prove that tall people weigh more than shorter people. I have split my sample into 2 groups - tall and short students. I've drawn 2 box-and-whisker diagrams on the same axis -one for weights of short students, and another for weights of tall students. The one for tall students is positively skewed and the one for shorter students is negatively skewed. How does this support my hypothesis? I know it's a stupid question but for some reason i'm confused!
2006-11-24 04:05:00 · 3 answers · asked by ? 1 in Science & Mathematics ➔ Mathematics
The one for tall students is positively skewed, this means that the probability of a students that are not tall will be reall less.
So, if you take up a hypothesis in positive sense for checking tall is highly probable that your hypothesis will be true.
The same fact is observable in the one for shorter students which is negatively skewed.
As a general rule, the mean is larger than the median in positively skewed distribution and less thanthe median in negatively skewed distirbutions.
I hope if this is not the whole answer, it atleast gives you some hints to right answer.
All the best
2006-11-24 04:12:47 · answer #1 · answered by Paritosh Vasava 3 · 0⤊ 0⤋
Negatively Skewed Box Plot
2016-10-19 05:47:34 · answer #2 · answered by ? 4 · 0⤊ 0⤋
The positive skewness means you can infer favourably from the data.
2006-11-24 04:54:10 · answer #3 · answered by ag_iitkgp 7 · 0⤊ 0⤋