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Please help me understand the problems. I am looking for detailed (step by step) explanation on these question. Stats is not my strong side.?
1. At a school pep rally, a group of sophomore students organized a free raffle for prizes. They
claim that they put the names of all of the students in the school in the basket and that they
randomly drew 36 names out of this basket. Of the prize winners, 6 were freshmen, 14 were
sophomores, 9 were juniors, and 7 were seniors. The results do not seem that random to you. You
think it is a little fishy that sophomores organized the raffle and also won the most prizes. Your
school is composed of 30% freshmen, 25% sophomores, 25% juniors, and 20% seniors.
a. What are the expected frequencies of winners from each class?
b. Conduct a significance test to determine whether the winners of the prizes were distributed
throughout the classes as would be expected based on the percentage of students in each group.
Report your Chi Square and p values?
c. What do you conclude?
2. A geologist collects hand-specimen sized pieces of limestone from a particular area. A
qualitative assessment of both texture and color is made with the following results. Is there
evidence of association between color and texture for these limestones? Explain your answer.
3. Do men and women select different breakfasts? The breakfasts ordered by randomly selected
men and women at a popular breakfast place is shown below in the table. Conduct a test for
homogeneity at a 5% level of significance
a. Using ?size? as the independent variable and ?cost? as the dependent variable, draw a scatter
b. Does it appear from inspection that there is a relationship between the variables? Why or why
c. Calculate the least-squares line. Put the equation in the form of: ? = a + bx
d. Find the correlation coefficient. Is it significant?
e. If the laundry detergent were sold in a 40-ounce size, find the estimated cost.
f. If the laundry detergent were sold in a 90-ounce size, find the estimated cost.
g. Does it appear that a line is the best way to fit the data? Why or why not?
h. Are there any outliers in the given data?
i. Is the least-squares line valid for predicting what a 300-ounce size of the laundry detergent
would you cost? Why
or why not?
j. What is the slope of the least-squares (best-fit) line? Interpret the slope
Paper#9210920 | Written in 27-Jul-2016Price : $19