In: Statistics and Probability
QUESTION PART A: You want to obtain a sample to estimate a
population proportion. At this point in time, you have no
reasonable estimate for the population proportion. You would like
to be 99.9% confident that you esimate is within 1.5% of the true
population proportion. How large of a sample size is
required?
n =
QUESTION PART B: If n = 300 and ˆp (p-hat) = 0.3, construct a
90% confidence interval.
Give your answers to three decimals
_____< p < _____
QUESTION PART C: Many investors and financial analysts believe
the Dow Jones Industrial Average (DJIA) gives a good barometer of
the overall stock market. On January 31, 2006, 9 of the 30 stocks
making up the DJIA increased in price (The Wall Street Journal,
February 1, 2006). On the basis of this fact, a financial analyst
claims we can assume that 30% of the stocks traded on the New York
Stock Exchange (NYSE) went up the same day.
A sample of 53 stocks traded on the NYSE that day showed that 26
went up.
You are conducting a study to see if the proportion of stocks that
went up is is significantly more than 0.3. You use a significance
level of α=0.02α=0.02.
What is the test statistic for this sample? (Report answer accurate
to three decimal places.)
test statistic =
What is the p-value for this sample? (Report answer accurate to
four decimal places.)
p-value =
The p-value is...
This test statistic leads to a decision to...
As such, the final conclusion is that...
1) At 99.9% confidence level, the critical value is z* = 3.27
Margin of error = 0.015
Or, z* * sqrt(p(1 - p)/n) = 0.015
Or, 3.27 * sqrt((0.5 * 0.5)/n) = 0.015
Or, n = (3.27 * sqrt(0.5 * 0.5)/0.015)^2
Or, n = 11881
2) At 90% confidence level, the critical value is z0.05 = 1.645
The 90% confidence interval is
= 0.256, 0.344
0.256 < p < 0.344
3) H0: p = 0.3
H1: p > 0.3
= 26/53 = 0.491
The test statistic is
= 3.034
P-value = P(Z > 3.034)
= 1 - P(Z < 3.034)
= 1 - 0.9988
= 0.0012
The P-value is less than .
Reject the null
There is not sufficient evidence to warrant rejection of the claim that the proportion of stocks that went up is more than 0.3.