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Give an example of a null and alternative hypotheses. This can be a personal item or something at work. Additionally, identify the Type I and Type II Errors that could occur with your decision-making process.
Give an example representing a discrete probability distribution and another example representing a continuous probability distribution. Explain why your choices are discrete and continuous.
The error between the sample mean and the population mean for a sample of n = 16 is 5 points and the error between a sample mean and population mean for a sample of n = 100 is 2 points. Explain the difference in the standard error for the two samp..
Find out a 95% confidence interval for the proportion p of adults who have a great deal of trust and confidence in the executive branch of government.
Determine the class with the greatest number of data values.
Among coffee drinkers, men drink a mean of 3.2 cups per day with a standard deviation of 0.8 cups. assume the number of coffee drinks per day follows a normal distribution.
Using this information, calculate Beta risk (probability of Type II error) if the true population mean really is 77.
Suppose that the incident rate of a particulat kind of accient is 1/10,000 persons. In a town of 50,000 persons, what is the probability that there is no accident of this kind?
Solution utilizing graphical method. Compute the following linear programming problem. Among which of the following points (X, Y) is not a feasible corner point.
All welders in a factory begin as apprentices. Every year the performance of each apprentice is reviewed. Past records indicate that after each review, 10% of the apprentices are promoted to professional welder
Use the F test of ANOVA (assume α = 0.05) to decide whether or not there are any differences in true average lumen outputs between the three brands for this type of light bulb.
The explanatory variable which is a measure of neighborhood socio-economic status variable RFM. Response variable is percent (%) of bicycle riders that wears a helmet.
Explain an organizational scenario where quantitative (ratio level of measurement) information is or could be used to make management decisions about creating, maintaining, or improving quality.
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