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?
Confidence Interval : The interval that can be defined as the range of values with there specified probability of the values of the parameters lies within it
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Confidence Interval can be defined as the range of values and can be derived from sample statistics that is likely to contain the values of an unknown population parameter
Confidence Interval can be used to bound the mean and standard deviation which can be obtain for regression coefficient and proportion and rates of occurence and also difference between population
Point Estimation : The estimation that can be defined as a single value that is used to estimate the population parameter
consider sample mean of X is a point estimate of the population mean
-->Purposes of confidence intervals :
The interval that gives us a range of values within with certain probability with the true population value falls
Discuss the importance of constructing confidence intervals for the population mean. What are confidence intervals? What...
QUESTION 1 In constructing a 95% confidence level estimate of the mean when the population standard deviation () is known what will be your score used in the formula? QUESTION 2 In constructing a 99% confidence level estimate of the mean when the population standard deviation (a) is known what will be your score used in the formula? HINT. Be sure to review page 236 "Finding Z scores from Known Areas - Special Cases and Tabel A-2. QUESTION 3 In...
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
Problem Statement In lecture we saw a strategy for constructing 95% confidence intervals for the mean of a normally distributed population. We did this by first selecting values U and V so that we could write a probability interval statement of the form: Pr( V < W ) 0.95 Then we did some algebraic manipulation on the inequalities that define the interval to eventually obtain values for L and U such that Pr(L* μ U*) 0.95 = Now let's generalize...
The larger the confidence level used in constructing a confidence interval estimate of the population mean, the wider the confidence interval. True False
===================================================================================== Problem 3. (2pts) The graph below shows the results from constructing 100 different confidence intervals of the same confidence level, each based on a different sample of size from a population in which the population mean is u = 20. Each vertical line in the graph spans the length of a different confidence interval. 100 40 60 Sample Number Based on these results, what is the most likely value of the confidence level used in constructing these confidence intervals?
What is the confidence level of each of the following confidence intervals for the population mean μ? i) x̄ ±1.96(σ/) ii) x̄±1.645(σ/) iii) x̄±2.575(σ/) iv) x̄± 1.28(σ/) v) x̄±0.99(σ/) Thank You! We were unable to transcribe this imageWe were unable to transcribe this imageWe were unable to transcribe this imageWe were unable to transcribe this imageWe were unable to transcribe this image
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...
When constructing a 95% confidence interval for a population mean μ, what is the most important condition that must be approximately satisfied so that in 95% of repeated samples the calculated intervals will cover the unknown value μ? A. The population standard deviation must always be small. B. The sample size n must be at least 100 (so that the Central Limit Theorem applies). C. The population from which the sample is drawn must be at least 10 times the...
Constructing Confidence Intervals, Part 1: Estimating Proportion Assume that a sample is used to estimate a population proportion p. Find the margin of error E that corresponds to the given statistics and confidence level: In a random sample of 200 college students, 110 had part-time jobs. Find the margin of error for the 98% confidence interval used to estimate, for the entire population of college students, the percentage who have part-time jobs. Round your answer to three decimal places. Please...
You want to estimate the population mean by taking a sample and constructing a 80% confidence interval. You know the population standard deviation is 6.08. Compute the minimum sample size needed to ensure that your interval estimate has a margin of error less than or equal to 1.8.