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A bank officer wants to determine the amount of the average total monthly deposits per customer at the bank. He believes an estimate of this average amount using a confidence interval is sufficient. How large a sample should he take to be within 200£ of the actual average with 99% confidence? He assumes the standard deviation of total monthly deposits for all customers is about 1000£.
Explain with the help of a text or personal example, the use and application of Bayes' approach. Briefly, what is the history of Bayesian statistics
The Bunte Auto Repair Shop received a shipment of four carburetors. One is known to be defective. If two are selected at random and tested.
What do confidence intervals represent? What is the most controllable method of increasing the precision of or narrowing the confidence interval?
Mean and standard deviation are 584.6 and 34.28
The distribution of SAT scores is normal with a m=500 and a standard deviation of o=100. What SAT scores (X values) separate
Using a critical value, test hypothesis at the 1% level of significance.
A math course has 2 sections. Section one has 55 students of which 10 received an A. Section two has 45 students of which 11 received an A. If a student was chosen randomly from 100 students
Provide examples of a different data collection method and a data collection instrument used in managerial research. Why is it important to ensure that these data collection methods and instruments are both reliable and valid?
Elucidate correlation coefficient of determination R-square also Adjusted R-square. A computer utility was implimentated to the data collected in a study of a generalized health.
City government has collected the following data on annual sales tax collections and new car registrations: Determine the least squares regression equation.
Determine Probability using exponential distribution.The average time between failures of a laser machine is exponentially distributed with the mean of 40,000 hours.
Given the following data from two independent samples, conduct a one-tailed hypothesis test to determine if the first sample mean is larger than the second sample mean, given a 0.05 level of significance.
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