There are different ways to estimate a variable. The sample mean is a point estimate of the population mean for the variable of interest.
<h3>What is a point estimate of the population mean?</h3>
A point estimate is known to be the value of a sample statistic that is often applied as one estimate of a specific population parameter.
The sample mean is defined simply as a form of average value seen in a sample. A sample is known to be the little portion of a whole.
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Answer:
The 95 percent confidence interval for the true mean metal thickness is between 0.2903 mm and 0.2907 mm
Step-by-step explanation:
We have that to find our 
level, that is the subtraction of 1 by the confidence interval divided by 2. So:
Now, we have to find z in the Ztable as such z has a pvalue of 
.
So it is z with a pvalue of 
, so 
Now, find the margin of error M as such
In which 
is the standard deviation of the population and n is the size of the sample.
The lower end of the interval is the sample mean subtracted by M. So it is 0.2905 - 0.0002 = 0.2903 mm
The upper end of the interval is the sample mean added to M. So it is 0.2905 + 0.0002 = 0.2907 mm
The 95 percent confidence interval for the true mean metal thickness is between 0.2903 mm and 0.2907 mm
Answer:
m(x) = (8 oz/day)x oz
Step-by-step explanation:
Since x measures time, in days, start your x-axis at (0,0).
The rate at which you drink milk is 8 oz/ day.
If x represents the number of days you drink milk (same amount daily), the desired equation is
m(x) = (8 oz/day)x oz
Answer:
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