if one tail is longer than another, the distribution is skewed.
a negatively-skewed distribution (left-skewed) has a long left tail. that’s because there is a long tail in the negative direction on the number line. the mean is also to the left of the peak.
a positively-skewed distribution has a long right tail. that’s because there is a long tail in the positive direction on the number line. the mean is also to the right of the peak. (see attached diagram for details).
for negatively-skewed distribution the median is greater than the mean, for positively-skewed distribution the median is smaller than the mean.
[tex]For the graphs below, for which probability distribution is the value of the median greater than the[/tex]
When the tail is pulled toward the right side, it is called a positively skewed distribution
Step-by-step explanation:
When the tail is pulled toward the right side, it is called a positively skewed distribution; when the tail is pulled toward the left side of the curve it is called a negatively skewed distribution (Watzlaf 2016, 361-362).
Generally the right side of a function is reserved for positive variables and the left side is used to represent negative variables, therefore when a function is pulled to the right is considered to be Positively skewed
A. The Bulldogs' distribution is symmetric, but the Wolverines'
distribution is negatively skewed
Step-by-step explanation:
The box plot showing scores for the Bulldogs basketball team has the median shown by a vertical line dividing the box into 2 equal halves. Also, both whiskers on either sides are relatively equal. This shows that the data set for bulldogs is symmetric.
On the other hand, the box plot for wolverine shows the median more closer to the upper quartile, and also the whisker to the right if the box is longer. These show that the data set for team wolverine is negatively skewed.
a
step-by-step explanation:
if one tail is longer than another, the distribution is skewed.
a negatively-skewed distribution (left-skewed) has a long left tail. that’s because there is a long tail in the negative direction on the number line. the mean is also to the left of the peak.
a positively-skewed distribution has a long right tail. that’s because there is a long tail in the positive direction on the number line. the mean is also to the right of the peak. (see attached diagram for details).
for negatively-skewed distribution the median is greater than the mean, for positively-skewed distribution the median is smaller than the mean.
[tex]For the graphs below, for which probability distribution is the value of the median greater than the[/tex]
When the tail is pulled toward the right side, it is called a positively skewed distribution
Step-by-step explanation:
When the tail is pulled toward the right side, it is called a positively skewed distribution; when the tail is pulled toward the left side of the curve it is called a negatively skewed distribution (Watzlaf 2016, 361-362).
Generally the right side of a function is reserved for positive variables and the left side is used to represent negative variables, therefore when a function is pulled to the right is considered to be Positively skewed
A: negatively skewed
A) negatively skewed
A. The Bulldogs' distribution is symmetric, but the Wolverines'
distribution is negatively skewed
Step-by-step explanation:
The box plot showing scores for the Bulldogs basketball team has the median shown by a vertical line dividing the box into 2 equal halves. Also, both whiskers on either sides are relatively equal. This shows that the data set for bulldogs is symmetric.
On the other hand, the box plot for wolverine shows the median more closer to the upper quartile, and also the whisker to the right if the box is longer. These show that the data set for team wolverine is negatively skewed.
answer:
no
step-by-step explanation:
hi
Step-by-step explanation: