Fidelity Investments is a Boston institution that is “among the
most diversified financial services companies in the world,
offering a full range of product solutions for individual
investors, employers, institutions, and intermediaries. Fidelity
has $6.8 billion in assets under administration, including managed
assets of $2.4 billion, as of December 31, 2018”
Fidelity operates service centers in various cities that customers
can call to get answers to questions about their investments.
Previously, the company studied the distribution of time required
for each call. It found that calls are normally distributed, with a
mean equal to 540 seconds. The call center manager in Provo, Utah,
has selected a random sample of 50 calls and wants to determine
whether the mean call time is now less than 540 seconds after a
training program given to call center employees. She can test
whether the time has decreased by using the following steps:
PLEASE HELP, SET UP ANY HYPOTHESIS. THANKS
Let be the mean call time (population paramater) now (ie after training program
a)
Hypotheses
b) Significance level = 0.05
c)
We can't calculate anything as sample standard deviation and means are not given. I am providing the formula to be used
Test statistic
d)
Its a left tail test. And critical value for n =50 and alpha = 0.05 is -1.677
Rejection region is R=t: t<−1.677
e)
If t-stat is less than tc, we reject the null hypothesis
Please let me know if you have any doubts. Happy to help. Please thumbs up if you like the solution. Thanks
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