Plz Help I will GIVE BRAINLIEST TO WHOVEE DOES ALL OF THEM AND SHOWS WORK. unhelpful answers will be reported.
1 answer:
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Answer:
c.negative
True, by definition since the variance take in count the differences around the mean squared, then we can't have a negative value for a sum of square values.
Step-by-step explanation:
We need to remember that the variance is a measure of dispersion for a dataset respect to a measure of central tendency called the mean. The mean is defined as:
And the population mean is given by:
The population variance is defined by:
And the sample variance is defined as:
Now if we analyze the options we have this:
a.zero
False, if all the values are the same then the mean would be the same to the values and the difference between each value and the mean would 0 and indeed the variance would be 0.
b.larger than the standard deviation
False, if the population standard deviation is then the variance would be
and as we can see is higher than the standard deviation
c.negative
True, by definition since the variance take in count the differences around the mean squared, then we can't have a negative value for a sum of square values.
d.smaller than the standard deviation
False, if the population standard deviation is then the variance would be
and as we can see is lower than the standard deviation
Answer:
Mieko is correct
Step-by-step explanation:
Given
See attachment for complete question
Required
The length difference
Lengths with dot(s) means, there is at least 1 rose flower of that length.
So, from the attachment, we have:
The difference (d) is:
This gives:
<em>Hence, Mieko is correct</em>
