Help your classmates understand the width of a confidence interval. Also, explain how this type of statistics help businesses? Use your own words and provide your own examples to help your classmates understand.
First of all, the confidence interval tells gives possible range around the estimate. So many time we are unable to obtain exact estimation. That's why we try to estimate the parameter in terms of range.
The width of the Confidence interval tells us the length of the confidence interval. Shorter the width is a good approximation of parameter. But the width of the confidence interval depends upon the level of significance or in terms of confidence coefficient. The confidence interval generally take 95% or 99% probabilities.
This type of statistics is very useful in business. By the idea of the Confidence interval, a businessman can make their own policy. On the basis of observed data, he can estimate the price of something in the near future in a range.
Let us consider an example: Suppose it is given that a 99% confidence interval, stock XYZ's return will fall between -2% and +6% over the next year. In layman's terms, a person is 99% confident that the returns of holding XYZ stock over the next year will fall between -2% and 6%.On the basis of that information, a businessman can decide whether they should invest money or not to purchase XYZ stock. This information will help them in making a decision.
Help your classmates understand the width of a confidence interval. Also, explain how this type of...
As the confidence level increase, how does the width of the confidence interval change (Width = Upper Limit – Lower Limit)? Why? Does it become more or less precise? can someone help me understand this please?
What is the goodness of fit test for the multinomial experiment? Explain it to your classmates in detail providing examples. Remember, use your own words and examples.
D5: What happens to the width of your confidence interval as you increase your sample size? a. Why does this happen? b. Provide a real world example that explains this concept. c. Find an example in your homework this week that illustrates increasing the sample size and how it changes the width of the confidence level. Provide both the question statement and the solution.
In your own words, explain electromagnetic waves. Also give examples. please type it and dont write it thanks for your time
Increasing the confidence level of your confidence interval will have what effect on the width of the interval? It is impossible to tell. The width will decrease. The width will remain the same. The width will increase.
Explain, in your own words, what a confidence interval tells us about an estimate.
An assistant to the mayor, who claims to understand statistics, complains about your confidence interval calculation. She asserts that the dollar losses from burglaries are not normally distributed, which in turn makes the confidence interval calculations meaningless. Assume that she is correct about the distribution of money loss. Why are the calculations of a confidence interval still appropriate? According to the central limit theorem any distribution is considered normal if n is greater than ____. This sample is 500 so...
be original and use our own words Discuss with your classmates the pluses and minuses of the United States health care system. Please give specific detail and examples from your reading. Add your reference
Which of the following does NOT correctly describe how the width of a confidence interval for a population mean changes when the population standard deviation is known? The interval changes if the sample size decreases. The interval changes if the sample size increases. The interval narrows if the sample size increases and confidence level stays the same. The interval widens if the sample size decreases and the confidence level stays the same. The interval widens if the sample size stays...
Which of the following correctly describes how the width of a confidence interval for a population mean changes when the population standard deviation is known? There is no change if just the sample size increases. The interval widens if the sample size stays the same and confidence level decreases. The interval narrows if the sample size increases and confidence level stays the same. The interval narrows if the sample size decreases and confidence level stays the same. The interval widens...