There are 102102 students in a statistics class. The instructor must choose two students at random. Students in a Statistics Cla
1 answer:
Answer:
0.0087 probability that a freshman non-Statistics major and then a junior Statistics major are chosen at random
Step-by-step explanation:
A probability is the number of desired outcomes divided by the number of total outcomes.
What is the probability that a freshman non-Statistics major and then a junior Statistics major are chosen at random?
There are 5 freshman non-Statistics majors out of 102 students.
Then, there will be 18 junior statistics majors out of 101 students(1 will have already been chosen). So
0.0087 probability that a freshman non-Statistics major and then a junior Statistics major are chosen at random
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Answer:
follows are the solution to this question:
Step-by-step explanation:
Please find the correct question in the attached file:
The formula for calculating the Confidence interval of proportion:
The number of learners with access to working at home on a computer:
Lower limit =0.48
upper limit = 0.60
Answer:
Dimensions of the screen are a minimum of 10 inches wide by 8 inches high. The difference between the height and width will be 2 inches
Step-by-step explanation:
a<5 means 'a' can be a = 1, 2, 3, 4
Solving for H for each option of 'a' will give values of 'H' using the quadratic formula below
As 'a' and 'b' must be positive integers, H and W must be positive integers as well,
Based on above possible answers:
Dimensions of the screen are a minimum of 10 inches wide by 8 inches high. The difference between the height and width will be 2 inches
Answer:
a) The relative risk is 1.8
b) The attributable risk is
c) There is a relationship between exposure and tumor risk
Step-by-step explanation:
The number of exposed rats that develop tumors, a = 42
The number of rats exposed to the carcinogen = 600 rats
The number of exposed rats that did not develop tumors, b = 600 - 42 = 558
The number of not exposed rats in the control group = 350 rats
The number of rats that develop tumors in the control group, c = 13 tumors
The number of not exposed rats that did not develop tumors, d = 350 - 13 = 337 rats
a) The relative risk, RR = a/(a + b)/(c/(c + d))
∴ RR = (42/(42 + 558))/(13/(13 + 337)) = 49/26 = 1.8
b) The attributable risk = (a - c)/a
∴ The attributable risk = (42 - 13)/42 =
c) The odds ratio = (a·b)/(c·d)
∴ The odds ratio = 42 × 558/(13 × 337) = 23439/4381 ≈ 5.35
Given that the result of attributable risk is positive, there is an indication that there is a higher probability to develop tumor when exposed to the potential carcinogen, therefore, there is a relationship between exposure and tumor risk