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People in a large population average 60 inches tall. You will take a random sample and will be given a dollar for each person in your sample who is over 65 inches tall. For example if you sample 100 people and 20 turn out to be over 65 inches tall, you get $20. Which is better: a sample of size 100 or a sample of size of 1,000? Choose one and explain. Does the law of average relate to the answer you give?
Using a .05 level of significance, test whether the sample results indicate that the manufacturing process is functioning properly.
A case-control study of relationship between liver cirrhosis among both non alcoholics and alcoholics. Describe whether smoking is confounder.
Identify the sample and population. Also, determine whether the sample is likely to be representative of the population.
A number of minor automobile accidents occur at various high-risk intersections in Teton County despite traffic lights. The Traffic Department claims that a modification in the type of light will reduce these accidents.
Use this information to make a 95% confidence interval to evaluate true average number of copies made each day at this company.
Find out coefficient of correlation between variables. Interpret the value.
Describe the data appear the strength of the relationship among variables is sufficient to warrant using linear regression forecasting.
To test whether or not there is a difference between treatments A, B, and C, a sample of 12 observations has been randomly assigned to the 3 treatments. You are given the results below.
What can we conclude from these figures at a level of significance of .01?
Suppose the probability that a federal income tax return conatins an arithemetic error is 0.2. If 10 federal income tax returns are selected at random,
Setup Null and Alternate hypotheses to test if average amount of soda in each can is less than 32 oz. Test the hypothesis using a = 0.05. What can you conclude from all this?
Why is the F distribution important? How do you determine if a significant difference exists among the groups in ANOVA? How do you determine differences between the groups in ANOVA?
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