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Chi square test for the independence of attribute.
To find out whether two categorical variables are independent, one should use the:
1. 1. ANOVA test.
2. 2. Tukey-Kramer multiple comparison procedure.
3. 3. chi-square test.
4. 4. F-test.
Determine the dependent variable(s)? Determine the value of the statistic? Write down the name of one variable not mentioned in this study that one might wish to control for.
Taking care to control for weather conditions and other variables as much as possible. Define the null hypothesis.
Explain the effect outliers can have on the analysis of the center of this data set. Based on the box-plot and histogram you created for problem 1, do there appear to be any outliers?
Sketch the distribution of sample means for sample of n = 25 scores from this population.
Solve problem graphically1. Describe optimal solution and objective function value in context of the problem.
In 1,000 samples, assuming that H 0 is true, how many times would you expect to commit Type I error if:
Take a confidence interval for the difference in the average of renting between the first andthird hotel.
The number of customers at a specialty meat store averages about 1500/day. The exact number varies from day to day. On Fridays before long weekends, the number of customers increases to about 3000. Which of the following statements is correct
For binomial distribution among given values for n as well as p state whereas or not it is suitable to use normal distribution as an approximation.
1st a confidence interval is constructed without utilizing the finite population correction factor.
A company tracked the number of complaints it received during the first 6 months of last year, as shown in the following table:
If we fit the least-squares line to the 12 data points (one for each month) we obtain the following results from a software package. Notice that temperature is taken as the explanatory variable and crawling age as the response.
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