A store manager records the total visitors and sales, in dollars, for 10 days. The data is shown in the scatter plot. What concl
usion can the store manager draw based on the data?
Question 3 options:
An increase in sales causes a decrease in visitors.
An increase in sales is correlated with a decrease in visitors.
An increase in visitors is correlated with an increase in sales.
Question 3 options:
An increase in sales causes a decrease in visitors.
An increase in sales is correlated with a decrease in visitors.
An increase in visitors is correlated with an increase in sales.
1 answer:
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Answer:
P = 0.0215 = 2.15%
Step-by-step explanation:
First we need to convert the values of 900 and 975 to standard scores using the equation:
Where z is the standard value, x is the original value, is the mean and
is the standard deviation. So we have that:
standard value of 900:
standard value of 975:
Now, we just need to look at the standard distribution table (z-table) for the values of z = 2 and z = 3:
z = 2 -> p_2 = 0.9772
z = 3 -> p_3 = 0.9987
We want the interval between 900 and 975 hours, so we need the interval between z = 2 and z = 3, so we just need to subtract their p-values:
P = p_3 - p_2 = 0.9987 - 0.9772 = 0.0215
So the probability is 0.0215 = 2.15%