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Compare Analysis of Variance (ANOVA) with 2-sample tests
Analysis of Variance (ANOVA) is used to compare 3 or more sample means to determine the likelihood that they all came from the same population -- that they are all equal.
• Why can't we just do several 2-sample tests like we did in the previous week?
• In your own words, briefly tell us what these are and what they mean: o total variation o treatment variation o random variation
• How do you know if the means are likely to come from the same population (or not)?
Find out equation of the line of best fit. Find out r - Is there a strong relationship?
In addition, record the values for the UCL, center line, and LCL. Also, record any points that are out of control. Use a z-value of three.
A faculty group wants to determine whether job rating (x) is a useful linear predictor of raise (y). Consequently, the group considered the linear regression model:
What is the probability that a cereal would both high calorie and high fiber? In other words, what is P (high calorie and high fiber)?
Explain why we need to use the t distribution. What assumption do you need to make?
Which of the following(s) can be considered (a) variable(s)?
An experiment was carried out to assess the effects of four tomato varieties and four planting densities on yield. There were 64 plots, and each of the 16 factor combinations was randomly assigned to 4 plots
The main purpose of this exercise is to check your understanding of significance level, p-values and power .
Using the probabilities above what is the expected size of family you draw?
Given the same significance level, a ________ value of t will be required to reject the null hypothesis compared to the value of z required for rejection.
Between what two values does the P -value of this test fall?
Explain can you find out statistical support in this poll for that statement. When it comes to the war in Iraq, among which of the subsiquent statements comes closer to your point of view.
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