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1) Please share 3 real world examples of problems, which occurred due to the use of secondary data. Be specific about the consequences as well the secondary data used. You may use your own organization or research the net or literature for this one.
2) Can a marketing survey to research consumers' taste be developed for a global population? Does it depend on what aspects of the research? Support your response with one example.
3) Can a test be reliable and not valid or vise versa? Why or why not? Please share at least one real world example.
Determine probability, P(Z
The lifetime of a light bulb is an Exponential RV with a mean of 800 hours. Let L represent the time (in hours) that one randomly selected light bulb will burn. What is the possibility the light bulb burns for more than 1000 hours.
Determine the 95% confidence interval for the population mean, based on the sample mean.
A random sample of 400 observations produced a sample proportion of 0.32. What is the standard error to construct a 99.5% confidence interval.
The following table shows the number of miles driven in each trial.
The project requires you forecast the historical data, replicating the appropriate trends, seasonalities, week-over-week variability, etc. Please refer to the chapter and materials on Forecasting for the procedures to do.
Machine which fills quart milk cartons is set up to average 32.2 oz per carton, with standard deviation of 1.2 oz. Determine probability that filled carton will contain less than 32 oz of milk?
When the conditionally and unconditionally expected values of a discrete random variable would be different?
Does the overall data support the mayor's claim?
What percentage of items will weigh between 6.4 and 8.9 ounces?
Suppose the random variable x is best described by a normal distribution with µ = 24 and σ = 2.7. Find the z-score that corresponds to each of the following x values.
Construct a 95% confidence interval estimate of their mean weight.
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