Question 1:
The General Social Survey has a survey question: “Would you be willing to pay much higher taxes in order to protect the environment?” To test whether there is a difference between this year’s “Yes” rate and last year’s “Yes” rate, a sample of 500 people this year (Group 1) and 500 people last year (Group 2) were selected. Assume α=0.05.
If the test statistic is 2.08, what is the p-value?
(a) 0.4812
(b) 0.5-0.4812
(c) (0.5-0.4812)*2
(d) (1-0.4812)*2
Question 2:
The probability that a student owns a car is 74%. The probability that a student owns a car or drives to school is 88%. The probability that a student owns a car and drives to school is 56%. Given that the student drives to school, what is the probability that the student owns a car?
(a) 70%
(b) 80%
(c) 76%
(d) 74%
Question 3:
A manager has kept track of the number of products sold per day. The chance that 10 products are sold is 12%. The change that 11 products are sold is 33%. The chance that 12 products are sold is 26%. The chance that 13 products are sold is 18%. Finally, the chance that 14 products are sold is 11%. What is the expected number of products sold per day?
(a) 11.03
(b) 13
(c) 11.83
(d) 12
Question 4:
Assume 90% of students will finish a test on time. There are 15 students taking a test. How likely is it that at least 13 students will finish the test on time?
(a) 26.7%
(b) 54.9%
(c) 81.6%
(d) 18.4%
Question 1)
Answer)
We need to use standard normal z table to estimate the p-value
Given test statistics = 2.08
From z table, P(z>2.08) = 0.0188
As the test is two tailed
P-value = 2*0.0188 = 0.0376
Or
(c) (0.5-0.4812)*2
As (0.5-0.4812)*2 = 0.0376
Question 2)
Answer)
Lets say we have a sample size of 100
74% owns a car = 74
Owns a car or drives to school = 88
Owns a car and drives to school = 56
P(a or b) = p(a) + p(b) - p(a and b)
So, 88 = drives to school + 74 - 56
Drives to school = 70
Probability is = favorable/total
Total = student drives to school = 70
Favorable = owns a car = 56
Probability = 56/70 = 80%
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