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This exercise is a "what if analysis" designed to determine what happens to the test statistics and interval estimates when elements of the statistical inference change. This can be solved manually or on Excel with Test statistics or Estimators workbook.
a) In a random sample of 500 observations, we found the proportion of successes to be 48%. Estimate with 95% confidence the population proportion of successes.
b) Repeat part a with n= 200
c) Repeat part a with n= 1000
d) Describe the effect on the confidence interval estimate of increasing the sample size.
Consider the following situation describing layoffs at a manufacturing plant of the Monsanto Company. Does there appear to be a case of age discrimination between those laid off and those non-laid off?
The management of a chain of fast food restaurants wants to investigate the relationship between the daily sales volume (in dollars) of a company restaurant and the number of competitor restaurants within a 1 mile radius. The following data have b..
Use value you found in part a to find out degree of confidence for interval 65.65
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P-value to test hypotheses,
Confirm that these statements are accurate by finding the geometric mean rate of increase.
Given a situation where a control chart with 3-sigma limits is being constructed to monitor the percentage of defective items produced by a process, if samples of 100 units each are taken from the process and the average percent defective found in..
What is the difference between strong negative and strong positive correlation? What does zero correlation tell you? Can you share a relationship between two variables that is typically negative?
A doctor advices a patient to go on a particular diet for 2 weeks. Considering the general condition of the patient, the amount of weight the patient may loose is assumed to be between 5 Kg and 10 Kg,
To find z-score and required probabilities based on Normal distribution. Assume that childrens weekly allowances are normally distributed in the population.
X has a normal distribution with a mean of 80.0 and a standard deviation of 3.5. Find the following probabilities.
What is the probability that the person thinks that "Made in America" ads boost sales and uses social media online?
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