Purchase Solution

Selecting the appropriate alpha level

Not what you're looking for?

Ask Custom Question

Type I error is used in selecting the appropriate alpha level. Based on your understanding, why is Type I error more important than Type II error in selecting the appropriate alpha level?

Purchase this Solution
Solution Summary

This solution discusses the

Solution Preview

In selecting the appropriate level of alpha, there are two possible errors that may occur: a Type I error, which means that the alternative hypothesis was accepted when it is in fact false and should be rejected (that is, what a statistician deems as a significant finding is in fact due merely to chance).

The other error that may occur is what as known as a Type II error, which means that the alternative hypothess was rejected when it is in fact true and should be accepted (that is, ...

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.

Measures of Central Tendency

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

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.

View More Free Quizzes
Related BrainMass Solutions

  • Selecting Alpha in Hypothesis Testing

    212062 Selecting Alpha in Hypothesis Testing What criteria would you use in selecting your alpha? When should you use .10, .05 and .001? What does research say about the level of alpha you should use in hypothesis testing?

  • Type I and II error

    Q. by selecting a larger alpha level reseacher is Ans: increasing the risk of a type I error A few problems related to alpha level and error probability.

  • Decision Errors: Alpha and Power Relationship

    Select a Level for Alpha: Select the level of alpha (α) that you would use in testing your hypotheses. Be sure to think about the criticality of committing a Type I or Type II error before just selecting the conventional α = .05.

  • Hypothesis Testing-test for difference of means and variance

    State the appropriate null and alternative hypotheses, and test at a significance level of alpha =.02 whether they have the same the variances of their credit card balances.

  • Statistics - Research Questions - Hypothesis Testing

    hypothesis, and an explanation of which alpha level you would select and a justification of the choice.

  • Meek Industries: Accounts in Arreers for More than Three Months

    So, we would test Step 1: Null hypothesis H0: p<=60% Alternative hypothesis Ha: p>60% Step 2: The significance level We choose alpha=0.01 Step 3: identify test statistic Use z-statistic.

  • Explanation of the five-step hypothesis testing model

    The most commonly used alpha values are .05 and .01 although researchers can choose any alpha levels. A significance level of .01 means that the probability of a Type I error is 1%. 3. Select the appropriate test statistic a.

  • Comparisons Involving Proportions

    Use alpha= 0.10 significance level to determine whether there are any differences in preference among the three service choices.

  • Value sample and interval

    is the population standard deviation n is the sample size z(alpha/2) is the critical value at the confidence level z(alpha/2) times (?

View More Related Solutions