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Q1) The antique collector thinks that price received for particular item increases with its age and with number of bidders.
Formulate and evaluate the multiple regression models by using given data. Interpret each of evaluated regression coefficients. Is antique collector correct in believing that price received for item increases with its age and with number of bidders?
Q2) A chemical plant which produces bleach claims the average daily yield of 880 tons per day. It is sensible to suppose production levels are normally distributed-some days are slightly higher than others, some are lower. A random sample of 36 days yielded the average daily output of 890.2 tons, with standard deviation of 19.8 tons. Use this information to make a 95% confidence interval for mean.
The researcher computes the sum of squares for groups as SSG = 40030 and the sum of squares for error as SSE = 414780. The numerical value of the ANOVA F statistic is
For all questions, clearly explain/show your answers. For the Analysis section, justify your answers with the appropriate graphs, statistics, equations, etc.
We are interested in determining whether or not the opinions of the individuals (as to Yes, No, and No Opinion) are uniformly distributed.
Estimate the population mean
Table shows the smoking habits of group college students. If student is selected at random, determine the probability of getting someone who is man or a woman.
Find the probability that at least one subject experiences headaches. Is it unusual to have at least one of six subjects experience headaches?
What is the probability of this actually happening?
The Minitab output for the Tukey Least Significant Difference multiple comparisons is below. Which means are different and similar
The paired data below consist of the test scores of 6 randomly selected students and the number of hours they studied for the test.
The following table shows the number of miles driven in each trial.
If a blue ball is selected you win nothing. Let X be the amount that you win. The expected value of X and let the random variable X be a random number with the uniform density curve given below
How large should n be so that a 90% confidence interval for µ has a margin of error and What is the P-value for a test of the hypotheses
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