If the sample mean is 9 hours, the population st deviation is 3.5 hours and the sample size is 50, then the 95% confidence interval is approximately
a. 7.04 to 110.96 hours
b. 7.36 to 10.64 hours
c. 7.80 to 10.20 hours
none of the above
A continuous random variable is uniformly distributed between a and b. The probability density function between a and b is
a. Zero
b. (a / b)
c. (b / a)
d. 1/(b/a)
Z is a standard normal random variable. The P(0.90 < z < 1.20) equals
a. 0.4678
b. 0.0436
c. 0.8527
d. None of the Above
Solution :
Given that,
1) Point estimate = sample mean =
= 9
Population standard deviation =
= 3.5
Sample size = n = 50
At 95% confidence level
= 1 - 95%
= 1 - 0.95 =0.05
/2
= 0.025
Z/2
= Z0.025 = 1.96
Margin of error = E = Z/2
* (
/n)
= 1.96 * ( 3.5/ 50
)
= 0.97
At 90% confidence interval estimate of the population mean is,
± E
9 ± 0.97
( 8.03, 9.97 )
d) none of the above
2) Using Uniform distribution,
f(x) = 1 / b - a
correct option is = d
3) Using standard normal table,
P( 0.90 < Z < 1.20)
= P( Z < 1.20) - P( Z < 0.90)
= 0.8849 - 0.8159
= 0.0690
d. None of the Above
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