Basic Applied Statistics 200
Solutions to Practice Midterm 2
-
- correct: 9.50 is population mean, a parameter
- correct: 9.57 is sample mean, a statistic
- incorrect: 180 is sample size
- correct: no treatment has been imposed
- incorrect: sample mean is centered at 9.50
- correct: this is sigma divided by square root of sample size
- correct: from the Central Limit Theorem
-
- .40
- .40 + .30 = .70
- x-bar has mean 2.1, standard deviation 1.18/10 = .118
- P(x-bar < 2) = P(Z < -.85) = .1977
-
- false: X is skewed right
- true
- false
- true : from the Central Limit Theorem
- true
-
- n = 12, p = .6
- mu = 7.2, sigma = 1.70
- (iii) No; 12 * .6 < 10, so our Rule of Thumb is not satisfied
-
- (23.71, 26.69)
-
- lower
- less
- larger
- 35.7, so take n = 36
- (ii)
-
- null: mu = 22.6; alternative: mu > 22.6
- z = (25.2 - 22.6) / (6.1/(sq rt of 64))= 3.41
- P(Z > 3.41) = P(Z < -3.41) = .0003
- (i) small P-value means reject the null, conclude the alternative is
true
-
- null: mu = 28.2; alternative: mu < 28.2
- t = (26.7 - 28.2)/(2.1/(sq rt of 9)) = -2.14
- 1.86 and 2.306
- .025 and .05
- Reject the null, because P-value < alpha
- Yes
- .05 and .10, so accept
- (i) and (ii) are true because 9 is a small sample size; sample mean
isn't close to normal unless population is
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