The linear regression lines: Y = 30.331 −1.887X and X = 15.481 − 0.503Y
The absolute value of Pearson correlation coefficient between variables X
and Y is ______. (5%)
Americans spend an average of 8.6 minutes (μ ) per day reading
newspapers nationally. A researcher believes that individuals in
management positions spend more than the national average time per day
reading newspapers. A sample of individuals in management positions will
be selected by the researcher. The null hypothesis for this study is ______.
(5%)
In study, MML is an instrument designed to assess severity of patient’s
disability. There are 5 patients and 3 raters who used MML to assess
patient disability in this study. Each patient was evaluated by 3 raters
simultaneously in the admission of medical hospital in Canada. One-way
ANOVA using patient as the factor was performed. SST(total variance),
SSTR(between-group variance), and SSE(within-group variance) were
calculated as sum of squares in ANOVA table. The sum of square
measuring the consistency among raters in ANOVA table is ______. (5%)
Lynn is interested in buying one of stocks X and Y. The annual rate of
return on stock X is normally distributed with mean of 17% and standard
deviation of 3%. The quarterly rate of return on stock Y is also normally
distributed with mean of 4% and standard deviation of 2%. Assume that
four quarterly rate of returns in a year are independent. The probability
that the annual rate of return for stock X is less than the annual rate of
return for stock Y is _______. (5%)
The data consist of the length of service calls in minutes (the response
variable, Y) and units of components repaired (the predictor variable, X). A
regression analysis was conducted to predict the relationship of the two
variables. The data and results are as follows:
Suppose that the incidence of a disease in a population is 0.001. A
diagnostic test for this disease exists but has a false positive rate of 0.05
and a false negative rate of 0.01; that is, 5% of tests on non-diseased people
will indicate the presence of the disease while 1% of tests on people with
the disease will not indicate the presence of the disease. If a person drawn
at random from the population tests positive, what is the probability that
that person has the disease? ______ (10%)
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