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The numbers of cars produced in a factory per day has normal distribution with a mean of 102 and a standard deviation of 22. Use the normal distribution tables to determine how many days in a year ( of 365 days) you would expect to find:
-More than 90 cars produced by this factory ?
P(x>90)=?
number of day=?
-Between 86 and 113 cars produced by this factory?
P(86<x<113)=?
Select one of the models ranging from Naylor (1967) and the Preparation-Engagement-Perpetuation (PEP) model listed from Chapter 1 of the Connors (2012) text and compare and contrast them in regards to what makes them similar and dissimilar.
Refer back to the previous exercise. The actual sample proportion observed in the study was p = 0.33.
Perform least-squares regression on the transformed data. Give the equation of your regression line. Define any variables you use.
Describe two data sets (anything): one that is approximately normally distributed and another that is not normally distributed. Describe the data sets, and for the non-normally distributed data set describe its shape (Is it skewed? bimodal?)
If administrators are selected randomly from the faculty, what is the approximate probability that the percentage of male administrators will be 70% or more?
Construct separate relative frequency histograms for the survival times of both thetherapies. Compare the two histograms. Does the new therapy appear to generate a longer survival time? Explain your answer.
Use software to access the student survey data and report a 95% confidence interval for how much taller college males are than females
What percentage of hospitals provide at least some charity care? Based on a random sample of hospital reports from eastern states
What is the probability of her making 97 or more free throws in 118 trials? Round your standard normal variable to two decimal places before using the table of values?
Suppose a consumer group asked 18 consumers to keep a yearly log of their shopping practices and that the following data represent the number of coupons used.
Plot the data with SAT on the x axis and ACT on the y axis. Describe the overall pattern and any unusual observations.- Find the least-squares regression line and draw it on your plot. Give the results of the significance test for the slope.
Compare two models. Model #1 has an r-squared of .55 and an adjusted r-squared of .50. Model #2 has an r-squared of .52 and an adjusted r-squared of .51. Given this information, what model should you use?
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