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1. If the sample size is 36 with three treatment means (response variables) and you are performing an ANOVA, then the degrees of freedom for the error term will be:
2. If the least squares equation for sales data is the following: Y = 10 + 1.3 X (in $ millions) what are the sales when X = 10 (in millions of dollars)?
3. A random sample of size 15 is selected from a normal population. The population standard deviation is unknown. Assume that a two-tailed test at the 0.10 significance level is to be used. The null hypothesis is not rejected if the computed t is:
Below are scores for 10 randomly selected students on each exam. 95% confidence interval for the mean scores on?
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.
For the following scores, find the (A) mean, (B) median, (C) sum of squared deviation (d) variance, and (e) standard deviation:
Drug sniffing dogs must be 95% accurate. A new dog is being tested and is right in 46 of 50 trials. Find a 95% confidence interval for the proportion of times the dog will be correct.
Determine the probability the sample of 40 will have a sales average less than $400,000.
Generate a 95 % confidence interval for the difference in proportions of patients who report pain relief.
In regards to the statistics paper you helped me with. Can you do a conclusion of the findings. I can edit it to my communication style, but I do need to do the following:
A professor of math refutes the claim that the average student spends 3 hours studying for the midterm exam. Which hypothesis is used to test the claim?
Using the simple test of independence (described in the lecture), decide if the events high calorie and high fiber are independent or dependent. Show your work.
Make a graph to visualize the problem and state, without doing the calculations, whether the p-value of the test
Model Fitness. With any statistical model, we assess the fit: Does the model accurately depict the truth? Explain how one of the following helps assess the "fitness" of the mean.
The number of runs with respect to the sample median is:
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