There is no relationship between the number of hours cycled and the number of hours worked (Option D).
<h3>What is a scatterplot?</h3>
A scatterplot is a graph that is used to show the association between two variables. The relationship between the variables is shown by the use of line of best fit.
From the scatterplot shown, we can conclude that there is no relationship between the number of hours cycled and the number of hours worked (Option D).
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0.50c, as it's $0.50 per cup and c represents the number of cups sold. When you have a variable (letter like in this case, which is c) you always multiply.
And for 1b you're going to be doing $127.50 divided by $0.50
Let me know if this makes sense
Yes. Since neither are rounded, 46.2 would be greater.
Answer:
The probablility that there are 8 occurrences in ten minutes is 0.00518 or 0.5%.
Step-by-step explanation:
The distribution that represents the ocurrence of this events is the Poisson distribution.
The probability of having k events in a ten-minute-period can be expressed as:

being λ the mean number of occurrences in ten minutes.
The probablility that there are 8 occurrences in ten minutes can be calculated as:

The probablility that there are 8 occurrences in ten minutes is 0.00518 or 0.5%.
Answer:
Step-by-step explanation:
Let x be the wait times before a call is answered in phone calls.
The claim is x bar <3.3 minutes
Sample size n =62
Sample mean - x bar = 3.24 minutes
Population std dev =
Since population std dev is known and also sample size is sufficiently large, we can use Z test.

(one tailed test)
Mean difference = 3.24-3.3 = -0.06 min
Std error of sample =
Z = tset statistic = 
p value = 0.119
Since p value > alpha, we accept null hypothesis.
There is no evidence to support the claim at alpha = 0.08