In: Statistics and Probability
a)
A sample of 256 items is taken from an assembly line which
produces 10000 items per day. It is found
that 16 of the sampled items are defective. A wholesale company
won't buy the product from this assembly line if the defective rate
is more than 0.05. If you were to conduct a hypothesis test your
hypotheses would be
Group of answer choices
H0:x¯=0.5Ha:x¯>0.05
H0:p=0.05Ha:p>0.05
H0:μ=0.05Ha:μ>0.05
H0:p^=0.0625Ha:p>0.05
b)
A sample of 256 items is taken from an assembly line which
produces 10000 items per day. It is found
that 16 of the sampled items are defective. An approximate 95%
confidence interval for the proportion of
defectives produced that day is
Group of answer choices
0.0625 ± .03
0.0256 ± 0.0031
0.0256 ± 0.0016
0.0625 ± .0151
0.00016 ± 0.0003
(a)
This is the right tailed test .
The null and alternative hypothesis is
H0 : p = 0.05
Ha : p > 0.05
(b)
Point estimate = sample proportion =
= x / n = 16 / 256 = 0.0625
Z/2
= 1.96
Margin of error = E = Z
/ 2 *
((
* (1 -
)) / n)
= 1.96 * (((0.0625
* 0.9375) / 256)
= 0.03
0.0625
0.03