Your TA Paul has become slightly obsessed with local brewed kombucha. He is interested in knowing the average price per ounce ($/oz). He conducts a SRS, where he randomly selects 30 locations that are known to brew kombucha and counts their price per ounce at each location. Ultimately he finds the sample mean to be 0.75$/oz, with a sample standard deviation of 0.1$/oz a) What is the value of our test statistic assuming that the true mean number of price per ounce is 0.6? [Select] b) Say that Paul conducted a second SRS, where he again randomly sampled 30 locations and found the test statistic to be 7.5. How would you calculate the probability of obtaining a test statistic as extreme or more extreme than 7.5? (i.e., greater than 7.5 or less than -7.5, also it may help to recall that both the t and z distributions are symmetric). A picture might help you visualize the situation. [Select]

MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
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Your TA Paul has become slightly obsessed with local brewed kombucha. He is interested in
knowing the average price per ounce ($/oz). He conducts a SRS, where he randomly selects
30 locations that are known to brew kombucha and counts their price per ounce at each
location. Ultimately he finds the sample mean to be 0.75$/oz, with a sample standard
deviation of 0.1$/oz
a) What is the value of our test statistic assuming that the true mean number of price per
ounce is 0.6? [Select]
b) Say that Paul conducted a second SRS, where he again randomly sampled 30 locations and
found the test statistic to be 7.5. How would you calculate the probability of obtaining a test
statistic as extreme or more extreme than 7.5? (i.e., greater than 7.5 or less than -7.5, also it
may help to recall that both the t and z distributions are symmetric). A picture might help you
visualize the situation. [Select]
Transcribed Image Text:Your TA Paul has become slightly obsessed with local brewed kombucha. He is interested in knowing the average price per ounce ($/oz). He conducts a SRS, where he randomly selects 30 locations that are known to brew kombucha and counts their price per ounce at each location. Ultimately he finds the sample mean to be 0.75$/oz, with a sample standard deviation of 0.1$/oz a) What is the value of our test statistic assuming that the true mean number of price per ounce is 0.6? [Select] b) Say that Paul conducted a second SRS, where he again randomly sampled 30 locations and found the test statistic to be 7.5. How would you calculate the probability of obtaining a test statistic as extreme or more extreme than 7.5? (i.e., greater than 7.5 or less than -7.5, also it may help to recall that both the t and z distributions are symmetric). A picture might help you visualize the situation. [Select]
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