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Humane society claimes that less than 34% of U.S. households own a dog. In a random sample of 405 U.S. households, 152 say they own a dog. At x=0.03, is there enough evidence to support the society's claim?
a) Write the claim mathematically and identify Ho and Ha
b) Find the critical value(s) and identify the rejection region(s).
c) Find the standard test statistic
d) decide wheather to reject or fail to reject the null hypothesis.
e) interpret the decision in the context of the original claim.
a) Explain why ground-wave propagation is more effective over sea water than dessert terrain. b) Why do stations in the AM broadcast band always use vertically polarized antennas
Do a literature review on the use of Poisson
problem1 the data below shows the number of absences x and the final grade y of seven students in the statistics
Psychomotor retardation scores for a large group of manic-depressive patients were approximately normal, with a mean of 930 and a standard deviation of 130. What fraction of the patients scored: a) between 800 and 1,100? b) less than 800? ..
Find out about your company's forecasting system
Raftelis financial consulting reported that the mean quartely water bill in the US is 47.50. Some water systems are operated b public utilities while other water systems are operated by private companies.
Calculate the Relative Precision Index in each case and, from the table on the following page, state the relative precision for each group and what remedial action should be taken to bring it back within specification limits?
SPC is one of a number of tools which can be used to improve manufacturing quality standards - Outline two techniques which can be used to decide where to put SPC effort most effectively.
Does the coin flipping process you just completed illustrate the Law of Large Numbers? Why or why not?
Compute expected frequencies for each of the cells in the table in part c). Do you feel that the exponential distribution provides an adequate description of these data?
How would you describe the function of a generalized linear regression model?
Perform a factor analysis on the three variables shown in question 2 above. What do conclude about the factors? Perform another factor analysis that includes the new variable, change in external events. What do you conclude?
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