Answer:
Standard error = 0.070
Step-by-step explanation:
Formula for the standard error of the distribution of differences in sample proportions is;
σ_(A - B) = √((p_a^(1 - p_a^)/n_a) + (p_b^(1 - p_b^)/n_b))
We are given;
p_a^ = 0.48
n_a = 80
p_b^ = 0.13
n_b = 66
Thus;
σ_(A - B) = √((0.48(1 - 0.48)/80) + (0.14(1 - 0.13)/66))
σ_(A - B) = √0.00496545455
σ_(A - B) = 0.070
6 Is the andwer....... hope it helps
1.50 / 4 = .50 , $.50 for 4 eggs
Answer:
A
Step-by-step explanation:
Answer:
Option C is right
Step-by-step explanation:
Given that the random variable, X, the ages of voters as per poll worker analysis is having mean as 65 and std deviation as 5
X is normal (65,5)
To convert to Z score from x we use
Z = 
Or we can write in terms of x as
X = 65+5z
When z = 1.14
we can convert into z as follows
X=65+5(1.14) = 65+5.7=70.70
Round off to 71