Question

Confidence intervals seek to estimate a population parameter with an interval of values calculated from an...

Confidence intervals seek to estimate a population parameter with an interval of values calculated from an observed sample statistic. Demonstrate that you understand this concept by describing a situation in which one could use a sample mean or sample proportion to produce a confidence interval as an estimate of a population mean or population proportion. I am asking you to make up a situation where a confidence interval might be computed. Clearly identify the population, sample, parameter, and statistic involved in your example. Choose an appropriate confidence level and compute the interval. Do not use any example that appeared in your book or in class. The population is (describe what the population is, in words) The sample is (describe what the sample is, in words) In my example, I am computing a confidence interval for a The parameter is (describe in words) The statistic is (describe in words, and assign a value to the statistic) The % confidence interval is from to . Finally, explain what this confidence interval means in the context of your example.

Homework Answers

Answer #1

(a) Situation:

The mean score of a random sample of 60 students is 145 with SD of 40. To find the 95% confidence limits for the population mean.

(b) Population:

All the students of the College

(c) Sample:

sample of 65 students

(d)

Parameter:

mean score of all students of the College

(e) Statistic:

mean score of 60 students

(f) Confidence level:

= 0.05

(g)

n = 60

= 145

s = 40

95% Confidence interval:

= (134.88,155.12)

Summary:

(i) Population is: score of all students of the college

(ii) Sample is : score of 60 students

(iii) In my example, I am computing a confidence interval for average score of students of the college

(iv) The % confidence interval is from : 1.34 % to 1.55 %

(v) EXPLANATION: If repeated samples are taken and the 95% confidence interval is computed for each sample, 95% of the intervals will contain the population mean.

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
A confidence interval estimate of a population parameter contains the unlikely values of that parameter. True...
A confidence interval estimate of a population parameter contains the unlikely values of that parameter. True False
True or False: 1. A confidence interval is used for estimating a population parameter. 2. A...
True or False: 1. A confidence interval is used for estimating a population parameter. 2. A confidence interval always captures the sample statistic. 3. A confidence interval always captures the population parameter. 4. When constructing a confidence intervals we should always use Z-critical values. 5. The margin of error determines the center location of the confidence interval. 6. In general, we would like to have a precise confidence interval while having a high level of confidence.
For this term, we will create confidence intervals to estimate a population value using the general...
For this term, we will create confidence intervals to estimate a population value using the general formula: sample estimator +/- (reliability factor)(standard error of the estimator) Recall that the (reliability factor) x (standard error of the estimator)= margin of error (ME) for the interval. The ME is a measure of the uncertainty in our estimate of the population parameter. A confidence interval has a width=2ME. A 95% confidence interval for the unobserved population mean(µ), has a confidence level = 1-α...
Discuss the advantages and disadvantages of estimating a population parameter (for example like the population mean  μ...
Discuss the advantages and disadvantages of estimating a population parameter (for example like the population mean  μ or a population proportion p) using a point estimate form a sample as opposed to using an interval estimate also based on the sample which is called confidence interval.
1. A summary measure that is computed from a population is called a parameter. 2. Estimating...
1. A summary measure that is computed from a population is called a parameter. 2. Estimating characteristics of a population is the main goal of descriptive statistics. 3. The confidence level is the proportion of times that an estimating procedure will be wrong. 4. A summary measure that is computed from a sample to describe a characteristic of a population is called a statistic
A 99% confidence interval estimate of the population mean ? can be interpreted to mean: a)...
A 99% confidence interval estimate of the population mean ? can be interpreted to mean: a) if all possible sample are taken and confidence intervals created, 99% of them would include the true population mean somewhere within their interval. b) we have 99% confidence that we have selected a sample whose interval does include the population mean. c) we estimate that the population mean falls between the lower and upper confidence limits, and this type of estimator is correct 99%...
Find a 90% confidence interval for a population mean ? for these values. (Round your answers...
Find a 90% confidence interval for a population mean ? for these values. (Round your answers to three decimal places.) (a) n = 130, x = 0.85, s2 = 0.084 to (b) n = 40, x = 20.1, s2 = 3.86 to (c) Interpret the intervals found in part (a) and part (b). There is a 10% chance that an individual sample proportion will fall within the interval.In repeated sampling, 10% of all intervals constructed in this manner will enclose...
Determine the margin of error for a confidence interval to estimate the population proportion for the...
Determine the margin of error for a confidence interval to estimate the population proportion for the following confidence levels with a sample proportion equal to 0.35 and n= 120 the margin of error for a confidence interval to estimate the population portion for 90% confidence level is the margin of error for a confidence interval to estimate the population portion for 95% confidence level is the margin of error for a confidence interval to estimate the population portion for 97%...
Find a 90% confidence interval for a population mean ? for these values. (Round your answers...
Find a 90% confidence interval for a population mean ? for these values. (Round your answers to three decimal places.) (a) n = 145, x = 0.88, s2 = 0.084 to (b) n = 70, x = 25.6, s2 = 3.49 to (c) Interpret the intervals found in part (a) and part (b). There is a 10% chance that an individual sample proportion will fall within the interval.There is a 90% chance that an individual sample proportion will fall within...
The sample mean always lies at the center of the confidence interval for the true population...
The sample mean always lies at the center of the confidence interval for the true population mean ( µX ). The sample mean is also known as the best point estimate for µX . The true population mean is always in a 90% confidence interval for µX . If one-hundred (100) 95% confidence intervals for µX are created from some population, the true population mean is likely to be in approximately 95 of these 100 confidence intervals.
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT