Confidence interval for parameters of the population is obtained from the sample. In other words, sample is drawn from population and using the sample mean and sample standard deviation we obtain the confidence interval for parameters. But since in census there is complete enumeration, we have exact values so there is no need for calculating confidence interval.
Why do we not calculate confidence intervals for a census and population parameters?
Discuss the importance of constructing confidence intervals for the population mean. What are confidence intervals? What is a point estimate? What is the best point estimate for the population mean? Explain. Why do we need confidence intervals?
e. Why is the model prediction uncertain? Why do we have confidence intervals (for the mean prediction and the overall prediction)? f. Why is the difference between the confidence intervals of the mean prediction and the overall prediction?
48. Which of the following descriptions of confidence intervals is correct? a. Confidence intervals can only be computed for the mean b. We can only use the normal distribution to compute confidence intervals c. Confidence intervals can be computed for various parameters d. Confidence intervals can only be computed for the population
Calculating confidence intervals will give us the exact estimate of the population mean Select one: a. every time, that's why we use them b. most of the time, depending on the sample we are using c. rarely, but we calculate them anyway d. never, but they do give us a range
In class we had 41 95% confidence intervals that we believe to be calculated correctly. The confidence intervals were collected by taking a sample of 60 data points from the population data. 41 of the confidence intervals appear to be calculated correctly. Of these 4 of them do not have the population mean inside the confidence interval. Based on a 95% confidence, we expected 2 to not contain the population mean. Did this happen by chance alone? To find your...
4 10.4 Confidence Intervals for Population Proportion Calculate the margin of error for Contidence intervals for a propon Question Ramon wants to estimate the percentage of people who play games on their phones. He surveys 300 individuals and finds that 234 play games on their phones Find the margin of error for the confidence interval for the population proportion with a 90% confidence level ENTO E01 2002 2000 1.28216451.9602.326 2570 Use the table of common scores above • Round the...
Build 90%, 95% and 99% confidence intervals for the population mean. We do not know standard deviation. Remember of “Chinese product” joke. [4 5 5 2 4 4 6 3 3 7 5 3 6 3 4 4 6 5 4 5 3 7 5 5 4 2 6 5 6 6]
Explain in words why when we create confidence intervals and prediction intervals using a transformed response variable Y we can’t simply take the inverse transformation of the endpoints to get a confidence or prediction interval in the original units of Y .
In class we had 41 95% confidence intervals that we believe to be calculated correctly. The confidence intervals were collected by taking a sample of 60 data points from the population data. 41 of the confidence intervals appear to be calculated correctly. Of these 4 of them do not have the population mean inside the confidence interval. Based on a 95% confidence, we expected 2 to not contain the population mean. Did this happen by chance alone? To find your...
The Census Bureau groups data on households into census tracts, where each census tract has a total population of about 4,000 residents. Census tracts should be divided so that the households in the census tracts share certain characteristics, such as economic status. Even though most tracts are around 4,000 residents, there is some variability, which is the focus of this lab. In practice, census tracts usually have a population between 1,200 and 8,000 people. I just need help with the...