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One of the most commonly used statistical techniques is the comparison of two means, also known as the t-test (for this you need quantitative, or interval level data). If you used the same data to compare means with equal sample sizes, how would the results compare if you used the paired sample, independent sample equal variance, and independent sample unequal variance? Which is the most "conservative" and why might you use it by default?
Use these statistics to construct a 94% confidence interval for the mean monthly consumption for the population of all Ontario households.
Suppose that people's heights (in centimeters) are normally distributed, with a mean of 165 and a standard deviation of 6. We find the heights of 40 people.
A sample of 1545 men and an independent sample of 1691 women were used to compare the amount of housework done by men and women in dual-earner marriages.
A plus four 95% confidence interval for the difference between the two population proportions of wrist injuries is: A. 0.2909 ± 0.1674. B. 0.2909 ± 0.1069. C. 0.2909 ± 0.0907. D. 0.2909 ± 0.1275
Two tools that are often used in this process are the contingency table and the decision tree. What are these tools and how to they help us to make decisions under uncertainty when we are dealing with probabilities?
What is the probability that the police will strike and the firefighters will not? What is the probability that the firefighters will strike and the police will not?
Use the t-distribution table to find the critical values for the indicated alternative hypothesis, level of significance, a and sample size n1 and n2. Assume that the sample are independent, normal and random. Ha: u1
What is the probability that he will answer all questions correctly?
How might you go about creating a stronger regression model? For example, you have a multiple regression model with an adjusted R-Square of 0.49, which would explain 49% of the variance of the dependent measure
If there are 5 choices for a question and there is a 50% chance that the student knows the answer, what is the probability that the student knew the answer to a question he correctly answered?
Consider different types of qualitative data collection and analysis methods and the ways in which they can support business decision making and strategies.
A new book is being released and a bookstore predicts that 70% of customers that walk through the door on the release day will purchase the book.
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