Answer:
C
Step-by-step explanation:
If we plot the data on the graph, we can see that the
data is skewed to the right (positive skew) and there is an outlier. In skewed
data and presence of outlier, the median is most commonly used measure of
central tendency. This is because a positive skew would result in a positive
bias to the mean. Meaning that it would be a lot larger than the median and not
really representing the actual central tendency. The median however is less
affected by the skew and outliers.
Answer: Median, because the data are skewed and there is
an outlier
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Answer:

Step-by-step explanation:
A confidence interval is "a range of values that’s likely to include a population value with a certain degree of confidence. It is often expressed a % whereby a population means lies between an upper and lower interval".
The margin of error is the range of values below and above the sample statistic in a confidence interval.
Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".
The population proportion have the following distribution

So under the null hypothesis the mean for the population proportion is p

And the standard deviationis given by:

Answer:
120
Step-by-step explanation:
I am taking the test rn
Answer:
The sharing cone holds about 9 times more popcorn than the skinny cone.
Step-by-step explanation:
Cone volume:

r is the radius and h is the inches.
Skinny-size cone:
Radius is r, height h. So

Sharing size:
Radius is now 3r. So

How many times more popcorn?

The sharing cone holds about 9 times more popcorn than the skinny cone.