To calculate for the standard deviation given the
probability, we use the formula:
s = sqrt (n p q)
where s is standard deviation, n is number of samples = 11,
p is probability of success = 0.7, q = 1 – p = 0.30
s = sqrt (11 * 0.7 * 0.3)
<span>s = 1.52</span>
Answer:
1800
Step-by-step explanation:
Labor quantity variance= Actual quantity ×standard price - standard quantity ×standard price
Standard quantity=2×2600=5200
Labor quantity variance
5050×12-5200×12=1800
Answer:
Step-by-step explanation:
150/x=sin 15
x=150/sin 15 ≈579.56 m
Answer:
A) The mean of the chi-square distribution is 0
A) is not a property of chi square distribution.
Step-by-step explanation:
We have to find the properties of a chi square test.
A) False
The mean of a chi square distribution is equal to the degree of freedom.
B) True
The chi-square distribution is non symmetric.
C) True
The chi square value can be zero and positive.
It can never be negative because it is based on a sum of squared differences .
D) True
The chi-square distribution is different for each number of degrees of freedom.
When we are working with a single population variance, the degree of freedom is n - 1.
