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
Answer)
Confidence interval is the range which may include the population
For example
In
95% confidence interval
We are 95% confident that the interval contains the true population mean
So answer here is
Option D
Calculating confidence intervals will give us the exact estimate of the population mean Select one: a....
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?
A confidence interval is defined as: a) A range of given confidence that gives an estimate of the population proportion or mean. b) A range of numbers that we add to a sample mean to give an estimate of the population mean, with a given level of confidence. c) Given a certain level of confidence, an estimate of the population proportion or mean. d) A range of values used to estimate the population mean or proportion, using a given level...
4) Assime that a sample is used to estimate a population mean. Us a confidence level of 95%, a sample size of 60, sample mean of 5.4, and sample standard deviation of 0.93 to find the margin of error. Assume that the sample is a simple random sample and the population has a normal distribution. Round your answer to one more decimal place that the sample standard deviation.
Assuming that the population is normally distributed, construct a 90% confidence interval for the population mean for each of the samples below. Explain why these two samples produce different confidence intervals even though they have the same mean and range. Sample A: 12 3 3 6 678Full data set Sample B: 1 2 3 45678 Construct a 90% confidence interval for the population mean for sample A. (Type integers or decimals rounded to two decimal places as needed.) Construct a...
Let's say we have constructed a 95% confidence interval estimate for a population mean. Which of the following statements would be correct? A. We expect that 95% of the intervals so constructed would contain the true population mean. B. We are 95% sure that the true population mean lies either within the constructed interval or outside the constructed interval. C. Taking 100 samples of the same size, and constructing a new confidence interval from each sample, would yield five intervals...
Given the confidence interval for a population mean, 55.4< < 58.6 , find the point estimate of . O A 1.6 OB. 57 OC. 2.8 OD. 114 E. not enough information is given to answer the question QUESTIONS We will use 800 simple random samples, each of size 30, from a given population to calculate a series of 92% confidence intervals to estimate . Approximately how many of the 800 intervals will contain the population mean? O A 700 OB....
Why do we not calculate confidence intervals for a census and population parameters?
Assuming that the population is normally distributed, construct a 99% confidence interval for the population mean for each of the samples below. Explain why these two samples produce different confidence intervals even though they have the same mean and range. Sample A: 1 3 3 4 5 6 6 8 Sample B: 1 2 3 4 5 6 7 8 Full data set Construct a 99% confidence interval for the population mean for sample A (Type integers or decimals rounded...
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...
Statistics 200: Lab Activity for Section 3.3 Constructing Bootstrap Confidence Intervals - Learning objectives: • Describe how to select a bootstrap sample to compute a bootstrap statistic • Recognize that a bootstrap distribution tends to be centered at the value of the original statistic • Use technology to create a bootstrap distribution • Estimate the standard error of a statistic from a bootstrap distribution • Construct a 95% confidence interval for a parameter based on a sample statistic and the...