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a. What information is obtained from measurements on an ordinal scale compared to measurements on an nominal scale?b. what information is obtained from measurements on an interval scale compared to measurements on an ordinal scale.c. what information is obtained from measurements on a ratio scale compared to measurements on an interval scale?
Lead-time demand is 600 pounds. The standard deviation of lead time demand is 52 pounds. Supposing the lead time demand is normally distributed and that an acceptable risk of stocking out is 4%:
She is interested in testing the null hypothesis that the mean SAT score is the same for each type of schooling using the one-way ANOVA. Some summary statistics for the three groups are given below, followed by the one-way ANOVA table.
What information is provided by the numerical value of the Pearson correlation? For the following scores, compute the Pearson correlation:
Consider the many possible distributions of grades on a quiz in a statistics class; imagine that the grades could range from 0 to 100.
Find a 90% confidence interval for the population mean weight of all such turtles.
A simple random sample of 6 recent graduates revealed the following information about their weekly incomes. What is the expected value of the average weekly income of all the recent graduates?
Discuss the null hypothesis. How is it framed? What is the alternate hypothesis? How does it relate to the null hypothesis?
Find the probability that the mean age of those doctors is less than 53.00 years. Assume that the variable is normally distributed.
Calculate a standard error for the sample mean production rate for the new method and what is the standard error of the $1600 estimate?
What is the null hypothesis? Use α =0.05. Compute critical value. Use α =0.05.
What is the rejection point at α = .01 and indicate if you would accept or reject H o ?
Using an example from a hospital, create a mock data set for two specific variables of importance within hospital (minimum of 20). The data may be used for quality measures, patient inputs, demographics, financial data, etc.
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