# Hypothesis Testing

August 30, 2017

Question
Hypothesis Testing – Proportion and One Mean
P-value Guidelines when using Standard Normal Table (i.e. the Z-table):
Keep this in mind: The method for finding the p-value is based on the alternative hypothesis.
Minitab will provide the p-value but if doing by hand using Table A1 observe the following:
For Ha: p ? po then the p-value = 2P(Z ? |z|) That is, find 1 – P(Z po then the p-value = P( Z ? z)
For Ha: p < po then the p-value = P( Z ? z)
1. A polling group surveyed a city in Scotland regarding residents’ opinions on independence
from UK. It is generally believed that the percentage of ‘Yes’ votes is 50%. The poll wants to
find out whether fewer than half of the residents will vote ‘Yes’. The null hypothesis is that the
percentage of ‘Yes’ votes is 0.5 (50%). The alternative hypothesis is that the ‘Yes’ vote
percentage is smaller than 0.5 (50%).
a. Let p = true percentage of city residents who will vote ‘Yes’. Using mathematical notation,
write null and alternative hypotheses about p. H0: p=.50 versus Ha: p Basic Stats > 1 proportion, click Summarized Data, enter 2000 for
number of trials and 1050 for Number of events. Click on Options, AND enter 0.5 where it says
“Test proportion.” Click on Options button. Use the default 95.0 for “Confidence level.” Select
the alternative hypothesis as “Proportion Basic Stats > 1 proportion, click Summarized Data, enter 80 for
number of trials and 7 for Number of events. Click on Perform Hypothesis Test and enter 0.1
where it says “Hypothesized proportion” AND click Options to select the alternative hypothesis
as “smaller than” AND also click on “Normal approximation” for Method.
SPSS Users: Open the Excel Summarized Procedures and select the tab “Z test of a Proportion”. Enter
0.0875 as the Sample Proportion; 80 for the Sample Size; and 0.1 for the Hypothesized Proportion.
NOTE: The resulting p-value is for a two-sided test (i.e. “not equal” alternative hypothesis – if you are
conducting a one-sided test, where your alternative is specified as either “less than” or “greater than” you
will need to cut this p-value in half to arrive at the proper p-value for the one-sided test).

What value is given for Z in the output?

What is the p-value?

i. Do the Z test statistic you found by hand in part c and the p-value from part d
approximately equal to the Z statistic found in part e when using Minitab?
ii. Decide whether the result is significant based on the p-value from Minitab and report a
conclusion in the context of this situation.
iii What would the p-value have been if the study wanted to test if a decaffeinated coffee
drinkers are exactly 10% of the coffee drinker population? That is, test Ho: p = 0.1 versus Ha: p
? 0.1

3 A financial analyst wanted answer a fundamental question faced with any investor: does
investing in S&P 500 stock index provide long-term return that is beyond the inflation rate? The
analyst collected monthly total return data of S&P 500 Index since 1950. She also estimated that
the average monthly inflation rate based on the Consumer Price Index (CPI) is 0.21%. Use the
SPXMonthlyData file to test whether the S&P 500 monthly return is larger than average
monthly inflation rate of 0.21%. Perform hypothesis testing first by hand and then with Minitab.
The descriptive statistics are: sample size is 776; sample mean is 0.61%; and the sample standard
deviation is 4.185 %.
a. Write the null and alternative hypotheses using appropriate statistical notation.
H0:

Ha:

b. Calculate DF, the t-statistic, and 95% confidence interval:

DF =

= (0.61% – 0.21%) / (4.185% / sqrt(775)) =

c. From T-Table what is the range of the p-value based on you t-statistic? NOTE: if you selected
a two-sided Ha (i.e. used ?) then you need to double the p-values found in the table.