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Question
A study is conducted to estimate the average difference in bus use in a large city between the morning and afternoon rush hours. The transit authority's researcher randomly selects nine buses because of the variety of routes they represent. On a given day, the number of passengers on each bus is counted at 7.45 am and at 4.45 pm, with the following results:
a) Use the data to compute a 90% confidence interval to estimate the population average difference. Assume that the number of passengers is normally distributed.
State one referenced hypothesis including the three variables (FA as an IV, age as the covariate and RS as the DV)
Determine probability that number of boats constructed next month will be between 4 and 7 (both inclusive).
Solve the model by using graphical analysis.
Find out the expected number of correct responses under these circumstances if one in fact selects the responses at random. What is the standard deviation?
A processor of carrots cuts the green top off each carrot, washes the carrots, and inserts six to a package. Twenty packages are inserted in a box for shipment. To test the weight ofthe boxes, a few were checked.
Please use a combination of content and supportive examples.
The heights were measured for nine supermodels. They have a mean of 67.1 and a standard deviation of 2.3 in. Use the traditional method and a 0.01 significance level to test the claim that supermodels have heights with a mean that is greater than ..
Find the distribution of the test statistic when the null hypothesis is true, and then show how to get a test size alpha= 0.10
Develop a probability tree showing all marginal, conditional, and joint probabilities and what is the probability that a student selected at random failed the test?
Explain the difference between a discrete and a continuous random variable. Give two examples of each type of random variable.
Describe the data appear the strength of the relationship among variables is sufficient to warrant using linear regression forecasting.
Formulate the hypotheses that can be used to determine whether the sample data support the hypothesis that the mean fuel efficiency rating for midsize cars is greater than the mean fuel efficiency rating for large cars.
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