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Answer :
Answer:
For this case we have information from a sample of n =20 times of temperatures of the oven
The parameter of interest is [tex]\mu[/tex] population temperature mean of the oven
And the statistic is calculated with this formula:
[tex]\bar X = \frac{\sum_{i=1}^n X_i}{n}[/tex]
With n = 20 and represent the mean temperature of the oven
The correct option for this case is:
mu = the true mean temperature of the oven xbar = the true mean temperature of the oven
Step-by-step explanation:
Previous concepts
Parameter represent a property of a population and is calculated with the information of all the populatio. Some examples are the population mean and deviation [tex]\mu,\sigma[/tex]
Statistic represent a propoerty of a sample and are used used in order to describe the population parameters, since represent estimators of the real parameters.
Solution to the problem
For this case we have information from a sample of n =20 times of temperatures of the oven
The parameter of interest is [tex]\mu[/tex] population temperature mean of the oven
And the statistic is calculated with this formula:
[tex]\bar X = \frac{\sum_{i=1}^n X_i}{n}[/tex]
With n = 20 and represent the mean temperature of the oven
The correct option for this case is:
mu = the true mean temperature of the oven xbar = the true mean temperature of the oven
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Rewritten by : Barada
The parameter that is of interest here is mu = the sample mean temperature of the oven.
What is a research parameter?
These are the characteristics of the population trhat is being studied. It is what is used to define the population.
The parameters here is the mean temperature of the oven that is being tested.
Read more on parameters here:https://brainly.com/question/25748151
