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1. A scientist examined the effect of temperature and catalyst on the yield of a reaction. He ran the experiment at both 150° and 200°C with two types of catalyst. A partial ANOVA table is below.
The F statistic for interaction isA. 0.009.B. 0.0008.C. 0.006.
2. A scientist examined the effect of temperature and catalyst on the yield of a reaction. He ran the experiment at both 150° and 200°C with two types of catalyst. A partial ANOVA table is below.
The sum of squares for the model isA. 30.67.B. 30.54.C. 39.09.
A computer supply house receives a large shipment of floppy disks each week. Past experience has shown that the number of flaws per disk can be described by the following probability distribution:
Over the past 50 years, the number of hurricanes that have been reported are as follows: 9 times there were 7 hurricanes, 14 times there were 8 hurricanes, 19 times there were 11 hurricanes, and in the remaining years there were 14 hurricanes. Wha..
Suppose you are testing the differences in attitudes toward health care reform using Democrats, Republications, and Independents. What statistical test would you use?
Is there a significant difference in sales dollars of hats between the west side and east side stores at the 5 percent level of significance? (a) State the hypotheses. (b) State the decision rule and sketch it. (c) Find the test statistic and stat..
Now we would like to evaluate regression equation for X using Y as independent variable.
Find/discover an example of statistics in the news to discuss the following statement that represents one of the objectives of statistics analysis: "Statistics helps us make decisions based on data analysis.
A national study has determined that people who work full time average 43.4 hours worked per week. Assume that the number of house worked per week for those who work full time is normally distributed.
The 95% confidence interval for the mean of the sampling distribution of the mean is about:
The following is a time series data set. Run a time-series analysis for projections of April 2009 in the Healthcare industry of Nashville.
Develop a forecast for year 6, using two-year moving average and trend analysis. Identify which method is most appropriate for this data set
Random sample of round-trip discount fares on this route last month gives: At .01 significance level can we conclude that mean fare has increased? Determine the p-value?
Describe what happens when the sample standard deviations get larger and repeat Part a with samples of size 150.
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