The average daily volume of a computer stock in 2011 was
muμequals=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 30 trading days in 2014, he finds the sample mean to be 32.7 million shares, with a standard deviation of s equals=11.3
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.
Upper bound-
Lower bound-
(c) Will the researcher reject the null hypothesis?
a)
null hypothesis: HO: μ | = | 35.1 | |
Alternate Hypothesis: Ha: μ | ≠ | 35.1 |
b)
sample mean 'x̄= | 32.700 | |
sample size n= | 30 | |
std deviation s= | 11.300 | |
std error ='sx=s/√n=11.3/√30= | 2.0631 |
for 95% CI; and 29 df, value of t= | 2.0452 | from excel: t.inv(0.975,29) | ||
margin of error E=t*std error = | 4.2195 | |||
lower bound=sample mean-E = | 28.481 | |||
Upper bound=sample mean+E = | 36.919 |
c)
since confidence interval contains 35.1 as a plausible value for population,we can not reject the null hypothesis
Get Answers For Free
Most questions answered within 1 hours.