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What hypothesis testing model (my “models” handout) would be used under each of the following conditions. Use the “model number” from my handout if you wish. By line the information given in each cell is: Level of measurement, number of groups, sample size to be taken, parameter of interest and any qualifications.
Conditions
Ratio data
One group
Large sample
Population mean
Don’t know sigma
Two groups
Population variances
Populations are normally distributed
Nominal data
Two factors of classification
Test for independence
Expected frequencies condition met
Small sample
Population is normally distributed.
Population is NOT normally distributed
For the following scores, find the: A. Mean. B Median. C. Sum of squared deviation. D. Variance. E. Standard deviation.
How can you or your department decide whether or not the variation is important? How could using a mean difference test help?
What is the appropriate inferential statistical test for the case scenario? Why?
What other information would you like to know to answer the question about salary equity between the genders? Why?
For monthly volume of 300 tables, find out total cost, total revenue and profit.
An attempt was made to evaluate the inflation rate as a predictor of the spot rate in the German treasury bill market. For a sample of 29 quarterly observations the estimated linear regression
A square yard of carpet is examined for surface defects. Currently, the process produces an average of 2.4 defects per square yard. What is the probability of finding 2 or more surface defects in the sample.
Develop the "best" regression model possible using this set of variables to help you predict the Risk. State your final model. Interpret the coefficients for the model (i.e. what do the numbers mean?).
A college is considering making the purchase of a laptop computer a requirement for some of its programs. In the past, only 20% of students owned laptop computers. A random sample of 300 students revealed that 77 of them had laptop computers
Examine the data and determine if the distribution of IQ scores could be normal. You should confirm or reject normality by means of a visual inspection of the shape of the distribution.
Can I get some help for me to understand what is the difference between an equation and an expression? Can you solve for a variable in an expression? Could you explain.
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.
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