Question

Why is it important to compute confidence intervals for estimates of population means or percentages? A....

Why is it important to compute confidence intervals for estimates of population means or percentages?
A. Because every sample statistic is subject to error.
B. Because managers don’t like point estimates.
C. Because every sample statistic must be presented without error.
D. Because the sample statistic = the population parameter.

The calculated z or t value is inversely related to the size of the differences between two means or percentages (i.e., as the difference between two means or percentage increases, the calculated z or t decreases.
A. True
B. False

The calculated z or t value is inversely related to the size of the standard error (i.e., as standard error of the mean or percentage increases, the calculated z or t decreases.
A. True
B. False

Homework Answers

Answer #1

The confidence interval provides a range of values in which sample statistics can lie so it is better than point estimate. Sample statistics provides an estimate to po;ulation parameter. It is not always equal to population parameter.

Correct option is

A. Because every sample statistic is subject to error.

------------------------------------------------------

In calculating z or t value, the difference between two means or percentage comes into numerator so as the difference increase value of z or t will also increase.

Hence, correct option is

B: False

------------------------------------------------------

In calculating z or t value, the standard error comes into denominator so as the standard error increases value of z or t will decreases.

Hence, correct option is

A. True

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
1. The confidence intervals for the population proportion are generally based on ________. the t distribution...
1. The confidence intervals for the population proportion are generally based on ________. the t distribution when the population standard deviation is not known the z distribution the t distribution the z distribution when the sample size is very small 2. The difference between the two sample means   1 –   2 is an interval estimator of the difference between two population means μ 1 –  μ 2. True False 3. Excel does not have a special function that allows to calculate  t values. True...
Consider the following statements concerning confidence interval estimates: A. The use of the pooled variance estimator...
Consider the following statements concerning confidence interval estimates: A. The use of the pooled variance estimator when constructing a confidence interval for the difference between means requires the assumption that the population variances are equal. B. The width of a confidence interval estimate for the proportion, or for mean when the population standard deviation is known, is inversely proportional to the square root of the sample size. C. To determine the sample size required to achieve a desired precision in...
True or False? 1. σM  equals the standard deviation divided by the square root of the sample...
True or False? 1. σM  equals the standard deviation divided by the square root of the sample size 2. Larger samples more accurately reflect the population than smaller samples 3. If n = 1, the standard error will equal the standard deviation of the population 4. If a population is skewed, the distribution of sample means will never be normal 5. The mean for the distribution of samples means is equal to the mean of the population 6. As the sample...
1. The 95% confidence interval states that 95% of the sample means of a specified sample...
1. The 95% confidence interval states that 95% of the sample means of a specified sample size selected from a population will lie within plus and minus 1.96 standard deviations of the hypothesized population mean. T or F 2. Which of the following is NOT necessary to determine how large a sample to select from a population? Multiple Choice The level of confidence in estimating the population parameter The size of the population The maximum allowable error in estimating the...
Indicate whether the following statement is true or false. 1. When estimating a confidence interval for...
Indicate whether the following statement is true or false. 1. When estimating a confidence interval for the difference between the means of two independent populations, the pooled variance is the average of two sample variances, if the two sample sizes are equal. 2. Both the t-distribution and standard normal distribution have the same mean, but the t-distribution has a smaller standard deviation than the standard normal distribution. 3. The standard deviation of the distribution of   (i.e. standard error of the mean)...
The margin of error for a confidence interval for a population is equivalent to the standard...
The margin of error for a confidence interval for a population is equivalent to the standard deviation times the z-score value, or t-score value depending on the size of the population, for the probability of interest times the standard deviation of the population. True or False
In testing the difference between two population means using two independent samples, the population standard deviations...
In testing the difference between two population means using two independent samples, the population standard deviations are assumed to be unknown, each sample size is 30, and the calculated test statistic z = 2.56. If the test is a two-tailed and the 5% level of significance has been specified, the conclusion should be: a. none of these answers is correct. b. choose two other independent samples. c. reject the null hypothesis. d. not to reject the null hypothesis.
8. Confidence intervals for estimating the difference in population means Elissa Epel, a professor of health...
8. Confidence intervals for estimating the difference in population means Elissa Epel, a professor of health psychology at the University of California–San Francisco, studied women in high- and low-stress situations. She found that women with higher cortisol responses to stress ate significantly more sweet food and consumed more calories on the stress day compared with those with low cortisol responses, and compared with themselves on lower stress days. Increases in negative mood in response to the stressors were also significantly...
Answer the following about T-Test & T-distributions: 1. Which of the following statements related to the...
Answer the following about T-Test & T-distributions: 1. Which of the following statements related to the t-distribution is not true? Select one: a. Since the population standard deviation is usually unknown, the standard error of the sample mean is estimated using the sample standard deviation as an estimator for the population standard deviation. The formula is s/sqrt(n). b. The population must be t-distributed in order to use the t-distribution. c. Like the Normal distribution, the t-distribution is symmetric and unimodal....
1. what effect does increasing the sample size have on the population standard deviation? If the...
1. what effect does increasing the sample size have on the population standard deviation? If the sample size increases then the sample standard deviation will be decreases. But in this sentence, it is not a sample standard deviation. Every answer in CheggStudy is decrease. I think sample size doesn't affect to the population standard deviation. 2. When performing a hypothesis test, what effect does increasing the sample size have on the probability of type 1 error? 3. When performing a...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT