Based on past experience, a bank believes that 9 % of the people who receive loans will not make payments on time. The bank has recently approved 200 loans. What assumptions must be true to be able to approximate the sampling distribution with a normal model? Assumptions: What are the mean and standard deviation of this model? mean%3D standard deviation (accurate to 3 decimal places) = What is the probability that over 10% of these clients will not make timely payments?

The distribution of sample variances tends to be a normal distribution. true or false?

An analyst found that the average amount of money in bank accounts at his/her bank is $2,000 with a standard deviation of $150.  What would be the variance?

What is the equation for The standard deviation of the distribution of sample means

What are the measures of Central Tendency? What is the importance of the "normal distribution"?

pizza delivery chain advertises that it will deliver your pizza in 35 minutes from when the order is placed. Being a skeptic, you decide to test and see if the mean delivery time is actually more than 35 minutes. For the simple random sample of 7 customers who record the amount of time it takes for each of their pizzas to be delivered, the mean is 39.4 minutes with a standard deviation of 5.5 minutes. Assume that the population distribution is approximately normal. Perform a hypothesis test using a 0.025 level of significance.   Step 3 of 3 :   Draw a conclusion and interpret the decision.

I wanted to do a market research study estimating the average hourly wage earned by childcare workers in the bay area. How large does my sample need to be in order to have a margin of error that is less than $0.50 with a 95% confidence in the result. Assume that the standard deviation of the wages is $2 per hour.