The mean work week for engineers in start-up companies is claimed to be about 65 hours with a standard deviation of 6 hours. Kara, a newly hired engineer hopes that it's not (she wants it to be shorter), and decides to test this. She asks 10 engineers in start-ups for the lengths of their mean work weeks. Their responses are 70; 45; 55; 60; 65; 55; 55; 60; 50; 55. She will test at 10% significance level. Assume that the mean work week for engineers in start-up companies is normally distributed. NOTE: If you don't have a handheld statistical calculator, you may use an online calculator such the one at https://www.statskingdom.com/standard-deviation-calculator.html. Remember that you're entering *sample* data, so be sure to read off the correct results from the output. a. Is the newly hired engineer testing a mean or a proportion?

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The mean work week for engineers in start-up companies is claimed to be about 65 hours with a standard
deviation of 6 hours. Kara, a newly hired engineer hopes that it's not (she wants it to be shorter), and
decides to test this. She asks 10 engineers in start-ups for the lengths of their mean work weeks. Their
responses are 70; 45; 55; 60; 65; 55; 55; 60; 50; 55. She will test at 10% significance level. Assume that the
mean work week for engineers in start-up companies is normally distributed.
NOTE: If you don't have a handheld statistical calculator, you may use an online calculator such the one at
https://www.statskingdom.com/standard-deviation-calculator.html. Remember that you're entering
*sample* data, so be sure to read off the correct results from the output.
a. Is the newly hired engineer testing a mean or a proportion?
mean
proportion
b. The null hypothesis (or company claim), in symbols, is u:
c. If the claim that 65 hours is the true mean work week for engineers in start-up companies is correct,
what is the probability that a sample mean would be as low as Kara's mean or lower?
Give your answer as a decimal accurate to three decimal places.
d. If Kara assumes that 65 hours is the true mean work week for engineers in start-up companies, based on
the 10% significance level, do her data provide strong enough evidence to support that the mean work
week is actually shorter than 65 hours?
no
yes
Transcribed Image Text:The mean work week for engineers in start-up companies is claimed to be about 65 hours with a standard deviation of 6 hours. Kara, a newly hired engineer hopes that it's not (she wants it to be shorter), and decides to test this. She asks 10 engineers in start-ups for the lengths of their mean work weeks. Their responses are 70; 45; 55; 60; 65; 55; 55; 60; 50; 55. She will test at 10% significance level. Assume that the mean work week for engineers in start-up companies is normally distributed. NOTE: If you don't have a handheld statistical calculator, you may use an online calculator such the one at https://www.statskingdom.com/standard-deviation-calculator.html. Remember that you're entering *sample* data, so be sure to read off the correct results from the output. a. Is the newly hired engineer testing a mean or a proportion? mean proportion b. The null hypothesis (or company claim), in symbols, is u: c. If the claim that 65 hours is the true mean work week for engineers in start-up companies is correct, what is the probability that a sample mean would be as low as Kara's mean or lower? Give your answer as a decimal accurate to three decimal places. d. If Kara assumes that 65 hours is the true mean work week for engineers in start-up companies, based on the 10% significance level, do her data provide strong enough evidence to support that the mean work week is actually shorter than 65 hours? no yes
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