Purchase Solution

Type I Error and Type II Error

Not what you're looking for?

Ask Custom Question

A randomized trial comparing the efficacy of two drugs showed a difference between the two (with a P value < .05). Assume that in reality, however, the two drugs do not differ. This is therefore an example of a Type I error. Why is it NOT a Type II error? Is it because Type II error are defined as decision: conclude treatments are not different, but in type II errors the treatments are really different?

Purchase this Solution
Solution Summary

Referring to a question where a randomized trial comparing the efficacy of two drugs that found a significant difference between the efficacy of the two drugs (with a P value < .05), when in reality there was no difference. This solution explains why this is an example of a Type I error and NOT a Type II error.

Solution Preview

This response is also attached for better formatting of the chart. Therefore, you might prefer to open the attached response instead.

RESPONSE:

Hi,

Let's take a closer look at these two interesting questions separately.

1. A randomized trial comparing the efficacy of two drugs showed a difference between the two (with a P value < .05). Assume that in reality, however, the two drugs do not differ. This is therefore an example of a Type I error.

By definition, it is a type one error: A type 1 error is rejecting the null hypothesis when it is true.

It often helps to set up the null and alternative hypothesis. For this experiment your null and alternative hypothesis would be:

Ho: ...

Purchase this Solution
Free BrainMass Quizzes
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.

Terms and Definitions for Statistics

This quiz covers basic terms and definitions of statistics.

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.

Measures of Central Tendency

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

View More Free Quizzes
Related BrainMass Solutions

  • Type I and Type II Errors and Controllable Factors

    499631 Type I and Type II Errors and Controllable Factors Define a type I error and explain why it occurs. Explain a factor that the researcher can control to change the type I error. Also, explain how type I errors can be avoided.

  • Type I and Type II error

    165098 Type I and Type II error.. Type I and Type 11 error Please see attached. Thank you. Describe the action that would result in a type I error and a type II error if each of the following null hypotheses were tested. a.

  • Type I and Type II Errors: Inverse Relationship

    637365 Type I and Type II Errors: Inverse Relationship Explain why there is an inverse relationship between committing a Type I error and committing a Type II error. What is the best way to reduce both kinds of error?

  • Determining Type I error or a Type II error

    560508 Determining Type I Error or a Type II Error Suppose we have the following. For each, identify whether it is a Type I error or a Type II error: 1. An individual is told she has cancer but she really doesn't. 2.

  • Identify Type I and Type II errors in cell phones

    307809 Identify Type I and Type II errors in cell phones Identifying Type I and II error that corresponds to the given hypothesis. The percentage of households with at least two cell phones is less than 60%.

  • Difference Between Type I and Type II Error in Statistics

    470226 Type I vs Type II Error Please explain the difference between a Type I and a Type II error when testing a hypothesis. Please provide an example of each. TYPE I ERROR: Also called an alpha error. A type I error is a false positive.

  • Type I and II errors

    In this solution, descriptions of Type I error and Type II errors are given.

  • Type I or Type II errors?

    Type I or Type II errors, how the type of data collected and the way in which the data is collected affect the possibility of Type I or Type II error.

  • Type 1 error, Type II error, Consumers Risk and Producers Risk

    s point of view, which type of error would be considered more serious and explain why? a) In this context, define type I and type II errors. Type I error, also known as an "error of the first kind", an ?

  • Type I and Type II Errors

    419414 Type I and Type II Errors Given the following hypothesis test, what are the ramifications of a type I and type II error? Just reply in a sentence or two for each case.

View More Related Solutions