Reference no: EM132223663
Statistics for Business Assignment -
Please answer all questions.
Question 1: A sample of eight observations of variables x (years of experience) and y (salary in $1,000s) is shown below:
x
|
5
|
3
|
7
|
9
|
2
|
4
|
6
|
8
|
y
|
20
|
23
|
15
|
11
|
27
|
21
|
17
|
14
|
a. Calculate and interpret the covariance between x and y.
b. Give a possible reason that the covariance is negative.
c. Calculate the coefficient of correlation, and comment on the relationship between x and y.
d. Give a possible reason that the correlation is negative.
Question 2: A company claims that 10% of the users of a certain sinus drug experience drowsiness. In clinical studies of this sinus drug, 81 of the 900 subjects experienced drowsiness.
a. We want to test their claim and find out whether the actual percentage is not 10%. State the appropriate null and hypotheses.
b. Is there enough evidence at the 5% significance level to infer that the competitor is correct?
c. Construct a 95% confidence interval estimate of the population proportion of the users of this allergy drug who experience drowsiness.
d. Explain how to use this confidence interval to test the hypotheses.
Question 3: Below are monthly rents paid by 30 students who live off campus.
a. Find the mean, median, and mode.
b. Do the measures of central tendency agree? Explain.
c. Calculate the standard deviation.
d. Are there outliers or unusual data values?
e. Using the Empirical Rule, do you think the data could be from a normal population?
730
|
730
|
730
|
930
|
700
|
570
|
690
|
1,030
|
740
|
620
|
720
|
670
|
560
|
740
|
650
|
660
|
850
|
930
|
600
|
620
|
760
|
690
|
710
|
500
|
730
|
800
|
820
|
840
|
720
|
700
|
Question 4: Three messenger services deliver to a small town in Oregon. Service A has 60% of all the scheduled deliveries, service B has 30%, and service C has the remaining 10%. Their on-time rates are 80%, 60%, and 40% respectively. Define event O as a service delivers a package on time.
a. Calculate P(A and O).
b. Calculate the probability that a package was delivered on time.
c. If a package was delivered on time, what is the probability that it was service A?
d. If a package was delivered 40 minutes late, what is the probability that it was service B?
e. If a package was delivered 40 minutes late, what is the probability that it was service C?