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Q1) Let's further suppose that there was good interrater reliability on these frequency counts of behaviours and that they are interval/ratio level of measure, normally distributed, and independent observations.
i) Enter data into an SPSS worksheet-one column for each variable (group membership, A; dependent variable, Y; and covariate, Xc).
ii) Run one-way ANOVA to compare mean levels of Y across groups on A factor (without the covariate) and also one-way ANOVA to compare mean levels of Xc, covariate, across groups on A factor (to see if scores on covariate differ across treatment groups).
How would the General Counsel's decision in Part (b) change if the cost of selling the second suit were only $200,000? What if the cost were $900000?
With this important detail, are there any significant differences with LSD?
On which test did he do better compared to the rest of the class?
Determine the mean number of times the machine was used per day.
Determine the probability the transmission will break down between 100,000 and 200,000 miles?
Given the following data on hotel check-ins for a 6-month period:
Create a 90% confidence interval for proportion of all kernels that would not pop.
Determine the point estimate? Give the symbol and value.
The 'interaction effect' was also important. By using the means in the table above write a statement explaining how the anti-anxiety drug appears to affect anxiety. Are the outcomes consistent with the hypothesis proposed by the researchers?
Using variables below, (1) mention all research questions that would be replied with a Two Way ANOVA test, (2) make null hypotheses for these questions.
Based on the answers to a through d, decide whether or not to reject the null hypothesis at the given significance level. Explain your conclusion in the context of the problem.
Compute a 5-month moving average forecast for June through January.
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