Sta406
Solution
Q1.
Since
there are two tails of the normal distribution, the 95% confidence level would
imply the 97.5th percentile
of the normal distribution at the upper tail. Therefore, zα∕2 is given by qnorm(.975).
> zstar = qnorm(.975)
> p = 0.5
> E = 0.05
> zstar^2 ∗ p ∗ (1−p) / E^2
[1] 384.15
> p = 0.5
> E = 0.05
> zstar^2 ∗ p ∗ (1−p) / E^2
[1] 384.15
Answer
With a planned proportion
estimate of 50% at 95% confidence level, it needs a sample size of 385 to
achieve a 5% margin of error for the survey of female student proportion.
Q2.
step 1: Subtract 1 from your sample size. 10 – 1 = 9. This gives you degrees of freedom, which you’ll need in step 3.
Step 2: Subtract the confidence level
from 1, then divide by two.
(1 – .95) / 2 = .025
(1 – .95) / 2 = .025
Step 3: Look up your answers to step 1
and 2 in the t-distribution table. For 9 degrees of freedom (df) and α = 0.025,
my result is 2.262.
Step 4: Divide your sample standard deviation by the square root of
your sample size.
25 / √(10) = 7.90569415
25 / √(10) = 7.90569415
Step 5: Multiply step 3 by step 4.
2.262 × 7.90569415 = 17.8826802
2.262 × 7.90569415 = 17.8826802
Step 6: For the lower end of the range,
subtract step 5 from the sample mean.
240 – 17.8826802 = 222.117
240 – 17.8826802 = 222.117
Step 7: For the upper end of the range,
add step 5 to the sample mean.
240 + 17.8826802 = 257.883
240 + 17.8826802 = 257.883
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