And to find this probability I need to bring up the table.
So we will have probably the absolutely easy greater than one. And then we will see the one on the left here will be the Z. So it will divide both sides here by the standard division of the X. So this room means sorry doesn't really means then the absolute under expert minus the meal. And then uh simple meal will be more than away from the production means. So therefore we need to convert the expert into the sea And to do it we will attend the 2700. The standard division expert will get equal to the standard no more.
Now, if you find this probability will know that it will turn the X bar. Now for the question to see we want to fight the probability that The assemble means experts that will be more than the 2700. And the standard or eco gender juices and 700. So therefore we will have the main equal ju The 63,000. And then we have echo ju The event b squared in the 100. Bar were followed by the normal in search of widen the mean of the expo are equal to the meaning of population Because of the 63,000 and the standard division expert by the former equity the sigma offices and so on. And now we have the symbol and equal 200 and because end credit than the 30. And were given the standard division sigma equal to the 27,000. It will go to the sigma on the population developments with the end in this question here We are given the average income will be the mean equal June the 63,000. Let me remind you that If we have the mean and the standard division and the and created equal to the 30 and by the central limit theorem does simple mean expert will be followed by the normal with the minimum the expert equal to the minimum population. Now let me bring up your question here in the question here we are going to discuss about the central limit theorem.
The probability is 0.3173' Round four decimal places as needed )Ĥ days, 17 hours ago The average income in certain region in 2013 was 563 00 per person per year: Suppose Ihe standard deviation 527,000 and the distribution is right-skewed Suppose we take random sample of 100 residents of the region. The mean is 63000 and the standard error is 2700 (Type integers or decimals. No it is not large enough because the sample size of 100 is less than 250 Yes it is Iarge enough because the population standard deviation of 27,000 is larger than the sample size of 100, No, it is not large enough because Ihe sample size of 100 is not grealer Ihan 10% of the population. Yes it is large enough because the sample size of 100 is greater than 25. The sample size large enough to use Ihe Central Limit Theorem for means Explain What are the mean and standard error of the sampling distribution? What is the probability that the sample mean will be more than 52,700 away from the population mean? SOLVED:The average income in certain region in 2013 was 563 00 per person per year: Suppose Ihe standard deviation 527,000 and the distribution is right-skewed Suppose we take random sample of 100 residents of the region.
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