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An experiment was performed to study whether an automobile company meet the EPA regulations in regards to emissions. Samples of 10 automobiles were selected for 100 days and the number of vehicles that did not meet the regulations were noted. The following distribution was obtained from the survey. NUMBER OF VEHICLES FAILED | 0| 1 |2
|3 |4 |5 |6 |7 |8 |9 |10 |TOTAL
NUMBER OF DAYS | 1 |1 |2|4|11|20|22||21|12|5|1 | 100
Fit an appropriate probability distribution to the given data. Test for the goodness of fit of the model.
Homework - Conditional Probability & Bayesian Analysis - What does it mean for two events to be mutually exclusive
Conduct the test and state your conclusion. Use α = 0.05. Does the choice of level of significance change your conclusion? Explain.
Construct an example of a distribution for which the mean exists but the variance does not exist.
Indicate whether this survey question would generate Nominal, Ordinal, Interval or Ratio data. Tell why you think so.
The number of hours a light bulb burns before failing varies from bulb to bulb. The distribution of burnout times is strongly skewed to the right. The central limit theorem says that
Conduct an analysis of four management journal articles, at least two of which must be peer reviewed. The following must be included in my analysis:
What is the difference between expected value and mean? In other words, what would be difference between the expected value of something, as opposed to the mean of that something? And how do I know when I should be finding the expected value and n..
As we discuss why statistics are useful in decision-making, what statistics do you think are important to consider as to why the survival rate was higher for spouse to spouse transfer? Can you find any research that supports this claim or may help..
Based on the sample findings, estimate the true mean of Saturday sales with 90% probability.
Suppose a large number of questionnaires about educational accomplishments are mailed out. Do you think that some recipients will be more likely to return.
Explain why we should not use the regression equation we found in Exercise for speed-skating time versus year to predict the winning time for the 2010.
Construct a 95% confidence interval estimate for the proportion of all workers who did not use the Internet within limits. Explain your findings so that your non-quantitative partner will understand them.
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