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The average daily volume of a computer stock in 2011 was p = 35.1 million shares, according to a reliable source. A stock analyst believes that the stock volume in 2014 is different from the 2011 level. Based on a random sample of 40 trading days in 2014, he finds the sample mean to be 30.9 million shares, with a standard deviation of s = 11.8 million shares. Test the hypotheses by constructing a 95% confidence interval. Complete parts (a) through (c) below. A. State the hypotheses for the test. B. Construct a 95% confidence interval about the sample mean of stocks traded in 2014.​C. Determine if the researcher

User Martis
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Answer:

a)Null hypothesis:
\mu=35.1

Alternative hypothesis:
\mu \\eq 35.1

b) The 95% confidence interval would be given by (27.131;34.669)

c) Since the confidence interval contains the value of interest 35.1 we don't have enough evidence to reject the null hypothesis at 5% of significance.

Explanation:

Data given and notation


\bar X=30.9 represent the sample mean

s=11.8 represent the sample deviation

n=40 sample size

Confidence =0.95 or 95%

Part a

On this case the correct system of hypothesis would be:

Null hypothesis:
\mu=35.1

Alternative hypothesis:
\mu \\eq 35.1

Part b

The confidence interval for the mean is given by the following formula:


\bar X \pm t_(\alpha/2)(s)/(√(n)) (1)

In order to calculate the critical value
t_(\alpha/2) we need to find first the degrees of freedom, given by:


df=n-1=40-1=39

Since the Confidence is 0.95 or 95%, the value of
\alpha=0.05 and
\alpha/2 =0.025, and we can use excel, a calculator or a table to find the critical value. The excel command would be: "=-T.INV(0.025,39)".And we see that
t_(\alpha/2)=2.02

Now we have everything in order to replace into formula (1):


30.9-2.02(11.8)/(√(40))=27.131


30.9-2.02(11.8)/(√(40))=34.669

So on this case the 95% confidence interval would be given by (27.131;34.669)

Part c

​(c) Determine if the researcher will reject the null hypothesis.

Since the confidence interval contains the value of interest 35.1 we don't have enough evidence to reject the null hypothesis at 5% of significance.

User Erik Ekman
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