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Assume that the numbers X of hours of sunshine per day in a city has a chi-square distribution with 10 degrees of freedom. The profit from selling food at an outdoor cafe depends on the number of hours of sunshine through the formula, Profit = 1000(1-(e-x/10)). Find the expected level of profit.
If a complete failure occurs, calculate the probability that the fault occurred in:
I have computed an analysis of variance for three groups with 10 observations per group. Evaluate the degrees of freedom for the F test
Explain your answer to someone who is familiar with the T test for a single sample, but not with the T test independent means.
At the .05 significance level, can we conclude that the guideline is still reasonable?
Using the .05 level of significance: a) Is there a difference among types of gasoline? b) Is there a difference in the cars?
Find out which (t-, z- or neither) distribution is suitable Then if you can utilize either a t- or z- distribution, provide associated critical value (critical t- or z- score) from that distribution to reach given confidence level.
The Type 1 error states the probability of being wrong whenever:
By using.02 level of significance, carry out a 5-step hypothesis testing procedure to find out if new processes considerably reduced the wait time.
For such groups of 800, would it be unusual to get 687 consumers who recognize the Dull Computer Company name?
Compute the difference scores for following data from repeated-measures study.
Construct a 90% confidence interval for the population proportion p . Does your result agree with your conclusion in part (a)?
Describe appropriate treatment means μ1, μ2 and μ3. After that Test for statistically significant differences between these treatment means. Set α = 0.05.
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