99% conf. limits, given mean 0.72645, stand. dev. 0.00058

Godisgood

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The mean and standard deviation of the diameters of a sample of 250 rivet heads manufactured by a company are .72645 inches and .00058 inches respectively. Find 99% confidence limits for the mean diameter of all the rivet heads manufactured by the company
 
Godisgood said:
The mean and standard deviation of the diameters of a sample of 250 rivet heads manufactured by a company are .72645 inches and .00058 inches respectively. Find 99% confidence limits for the mean diameter of all the rivet heads manufactured by the company

You have posted 5 problems - without showing a line of work.

Please show us your work, indicating exactly where you are stuck - so that we know where to begin to help you.
 
Godisgood said:
i JUST DON'T KNOW WHERE TO START.
To obtain the private instruction you seek (which it is not reasonably feasible to attempt to provide here), please consider hiring a qualified local tutor and setting aside a few hours a week for diligent study sessions.

By working with you face-to-face, your tutor will be better able to locate the gaps in your background which are preventing you from understanding the current material well enough to make any attempt on any of your homework. Your tutor can then reteach this missing content, and help you get caught up with the class.

My best wishes to you in your studies! :D
 
Godisgood said:
i JUST DON'T KNOW WHERE TO START.

The mean and standard deviation of the diameters of a sample of 250 rivet heads manufactured by a company are .72645 inches and .00058 inches respectively. Find 99% confidence limits for the mean diameter of all the rivet heads manufactured by the company

Please tell us the definition of:

mean and standard deviation

99% confidence limits for the mean

Then we will start. You'll find these in your text book.
 
Std dev is the sqaure of of the variance and how you spread your data out on the bell shape curve.
 
Godisgood said:
Std dev is the sqaure root of the variance and how much you spread your data out on the bell shape curve.

Give me the definition in the book - I am sure this is not the definition from the book.

And the others?

mean

99% confidence limits for the mean
 
standard deviation is a simple measure of the variability or dispersion of a population, a data set, or a probability distribution. A low standard deviation indicates that the data points tend to be very close to the same value (the mean), while high standard deviation indicates that the data are “spread out” over a large range of values.

The mean of a population has an expected value of ?, known as the population mean. The sample mean makes a good estimator of the population mean, as its expected value is the same as the population mean. The sample mean of a population is a random variable, not a constant, and consequently it will have its own distribution
 
Godisgood said:
standard deviation is a simple measure of the variability or dispersion of a population, a data set, or a probability distribution. A low standard deviation indicates that the data points tend to be very close to the same value (the mean), while high standard deviation indicates that the data are “spread out” over a large range of values.

The mean of a population has an expected value of ?, known as the population mean. The sample mean makes a good estimator of the population mean, as its expected value is the same as the population mean. The sample mean of a population is a random variable, not a constant, and consequently it will have its own distribution

And the other?

99% confidence limits for the mean

This is getting to be like pulling teeth....
 
Limits confidence is the lowe and upper boundaries.

This what i did so far:

mean +_ (z)(s/square root of n)
(.72642)+_ (2.57)(.00058/250)

Is this correct step.

Thank you
 
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