Purchase Solution

Values for confidence intervals

Not what you're looking for?

Ask Custom Question

Find the z and t values for the follow confidence intervals. Note that sample size does not apply for a z value.

Compare the z value for 95% with the two t values for 95%. All the confidence levels are the same. Comment on the z and t values; are they different? Why, do you think?

See the attached file.

Attachments
Purchase this Solution
Solution Summary

The solution finds the z and t values for the follow confidence intervals. Note that sample size does not apply for a z value.

Purchase this Solution
Free BrainMass Quizzes
Measures of Central Tendency

Tests knowledge of the three main measures of central tendency, including some simple calculation questions.

Measures of Central Tendency

This quiz evaluates the students understanding of the measures of central tendency seen in statistics. This quiz is specifically designed to incorporate the measures of central tendency as they relate to psychological research.

Terms and Definitions for Statistics

This quiz covers basic terms and definitions of statistics.

Know Your Statistical Concepts

Each question is a choice-summary multiple choice question that presents you with a statistical concept and then 4 numbered statements. You must decide which (if any) of the numbered statements is/are true as they relate to the statistical concept.

View More Free Quizzes
Related BrainMass Solutions

  • Confidence Intervals - What do they represent?

    There are values which determine the range of a confidence interval, known as upper and lower boundaries. Confidence intervals can be calculated for things like population, mean, etc.

  • Business Statistics: Relationship between Confidence Intervals & Hypothesis Testing

    When we construct a 90 % confidence interval to estimate a population parameter, all values in the interval are considered probable values for the parameter being estimated. Values outside the interval are rejected as relatively improbable.

  • Why Care About Confidence Intervals?

    Hence, by using confidence intervals we can determine what the plausible range of the true value of given statistic is. Thus confidence intervals allow us to estimate a range of values for the true value of given statistic.

  • Constructing Confidence Intervals

    498592 Constructing Confidence Intervals 10. Construct the 95% confidence interval for B and M, of the regression line y = Mx + B, for the population using the following inequalities and data. Use the below data, and complete parts a and b.

  • Computing Confidence Intervals Concept

    For example, if based on a set of 16 sample data, we need to find a 95% confidence interval for the population mean, we first calculate the sample mean and standard deviation, and plug the values in the following formula for CI (confidence interval) for

  • Regression Line and Confidence Intervals using R

    (c) What is the expected response for X = 60? What is the expected response for X = 70? Provide 95% confidence intervals. (d) For both X = 60 and X = 70, provide 95% prediction intervals. (e) Comment on the lengths of the four intervals.

  • Confidence Interval explained with real life examples

    Confidence intervals are usually calculated so that this percentage is 95%, but we can produce 90%, 99%, 99.9% (or whatever) confidence intervals for the unknown parameter. A real life example would be the weight of all the students in class.

  • Benefits of Confidence Intervals

    Confidence intervals make it clear that zero is only one of many plausible values for the "true" difference.

  • Descriptive Statistics or Inferential Statistics

    Confidence intervals are usually calculated so that this percentage is 95%, but we can produce 90%, 99%, 99.9%, confidence intervals for the unknown parameter.

View More Related Solutions