Most population distributions are not Normal. What do their sampling distributions look like?
For reference, from 7.3a:
A bank in a small town has to stock its single automated teller machine (ATM) with cash at the beginning of each day. Based on thousands of transactions in the past year, they know that the average amount of money requested by a customer is $87.00 with a standard deviation of $52.00. The distribution of money requested is strongly skewed to the right. The bank estimates that there will be 50 customer requests for cash from the ATM each day. The bank is trying to decide how much total cash should be stocked in the machine at the beginning of each day.
Explain what the problem means when it says "The distribution of money requested is strongly skewed to the right." within the context of this problem
x̄ is the average amount of money requested at the ATM by 50 random customers,
Is the sampling distribution of x̄ normally distributed?
How do you know?
Calculate the probability that a random sample of 50 customer requests for cash would require a total of $5000 or more (an average request of $100 per customer).
Round to the nearest Hundredth
If we are comparing two separate populations by subtracting their means, the process is similar.
Is the sampling distribution for
How do you know?
Find the mean of the sampling distribution of
What condition do we need to check before calculating Standard Deviation? Is the condition met?
Calculate the standard deviation of
Round to the nearest Hundredth
Interpret the standard deviation of
Round to the nearest hundredth
Is the sampling distribution of
Explain.
Is the sampling distribution of
Explain.
How do you know that the sampling distribution for 1000 policies is normally distributed?
Round to the nearest Hundredth
Which one is more likely?
Why?
Round to the nearest Thousandth
Round to the nearest Hundredth
Calculate the standard deviation of the sampling distribution
Round to the nearest Hundredth
Round to the nearest Hundredth
Explain
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