Answer:
a) We can calculate the mean with the following formula:

And replacing we got:

And for the median first we need to order the dataset on increasing way:
50, 60, 65, 70, 350
Since the sample size is an odd number we can calculate the median as the middle position for the dataset, for this case the 3th position and we got:
Median = 65
b) For this case we can see that we have an outlier present in the data 350, and for this case if we want to give a measure of central tendency is better use the median since this meaure is not affected by outliers. So Lauren should use the median.
Step-by-step explanation:
For this case we have the following data:
350, 70, 65, 50, 60
Part a
We can calculate the mean with the following formula:

And replacing we got:

And for the median first we need to order the dataset on increasing way:
50, 60, 65, 70, 350
Since the sample size is an odd number we can calculate the median as the middle position for the dataset, for this case the 3th position and we got:
Median = 65
Part b
For this case we can see that we have an outlier present in the data 350, and for this case if we want to give a measure of central tendency is better use the median since this meaure is not affected by outliers. So Lauren should use the median.
Complete question :
A zoologist is interested in whether climate affects how high kangaroos can jump. In a random sample of gray kangaroos from an Australian forest, he found the mean jump height was x¯=286 inches with a margin of error of 15 inches.
Construct a confidence interval for the mean jump height of gray kangaroos.
Answer:
(271, 301)
Step-by-step explanation:
Given that:
Mean (x¯) = 286
Margin of Error = 15 inches
The confidence interval :
(Mean - Margin of Error), (mean + margin of error)
(286 - 15), (286 + 15)
(271, 301)
Hence confidence interval equals : (271, 301)
Answer:
you will earn $2,400
Step-by-step explanation:
formula; I=PRT
therefore, I=5000×8×6/100
40,000×6/100
240,000/100
equals to $2,400