In: Statistics and Probability
#2). Under-coverage is a problem that occurs in surveys when some groups in the population are underrepresented in the sampling frame used to select the sample. We can check for under-coverage by comparing the sample with known facts about the population.
a. Suppose we take a SRS of n=500 people from a population that is 25% Hispanic. How many Hispanics are expected in a given sample? [2 points]
b. What is the standard deviation for the number of Hispanics in a sample? [2 points]
c. Can the normal approximation to the binomial be used to help make probabilistic statements about samples from this population? [2 points]
d. Determine the probability that a sample contains 100 or fewer Hispanics under the stated conditions.[4 points]
a)
expected = np = 500 * 0.250 = 125
b)
Standard deviation = √(np(1-p)) = √
93.7500 =
9.6825
c)
Yes it can made because np>=10
d)
Sample size , n = 500
Probability of an event of interest, p =
0.25
left tailed
X < 101
Mean = np = 125
std dev ,σ=√np(1-p)= 9.6825
P(X < 101 ) = P(Xnormal <
100.5 )
Z=(Xnormal - µ ) / σ = ( 100.5
- 125 ) / 9.6825
= -2.5303
=P(Z< -2.5303 ) =
0.0057
Thanks in advance!
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