a) Decide, using StatCrunch to help, whether or not the distribution is approximately normal.
b) Professor wants to make an offer on a house that has a listing price of $300,000. Use a normal model to determine an offer price for Professor which would put it in the 80th percentile in terms of its percent over asking price. Round to the nearest $1,000. [Remember to show all work and include any StatCrunch output.]
a) What type of sampling method did Professor Herning use? Explain.
b) Use StatCrunch to make both an appropriate tabular and an appropriate graphical summary of the data.
c) Assuming the data represents a simple random sample of the flowering weeds in Professor’s yard, do they provide convincing evidence for Professor’s suspicion? Use an appropriate inference method of your choice from our class to decide.
a) Create a contingency table to summarize the data. Which group has a higher proportion of minority students?
b) Create a confidence interval for the difference between the proportions of MTH 245 and MTH 264 students who self-report minority status. Does your confidence interval suggest the difference is statistically significant?
a) Use StatCrunch to perform a linear regression for predicting the exam score from the diagnostic score. Paste the output statistics page as well as the scatter plot with least squares regression line.
b) State and interpret the slope and R2 value of the model in context.
c) What is the predicted exam score for a student scoring 73 on the diagnostic?
d) Assuming the conditions for inference are satisfied (do not use the four step procedure), does the sample provide strong evidence that the correlation between the diagnostic test score and the exam score is positive? Explain, using the appropriate part(s) of the StatCrunch output.
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