Purchase Solution

Null & Alternate Hypothesis and Error type

Not what you're looking for?

Ask Custom Question

A consumer advocacy group is doing a large study on car rental practices. Among other things, the consumer group would like to do a statistical test regarding the mean monthly mileage, , of cars rented in the U.S. this year. The consumer group has reason to believe that the mean monthly mileage of cars rented in the U.S. this year is less than last year's mean, which was 2850 miles.
The group plans to do a statistical test regarding the value of 2850 chooses a random sample of monthly mileages and computes the mean of the sample to be miles and the standard deviation to be miles.
Based on this information, answer the questions below.
Answer the following:
-H0: mu = (less than, greater than or equal to, greater than, less than or equal to, not equal to, equal to) (2850, 850,2715)
-H1: mu= (less than, greater than or equal to, greater than, less than or equal to, not equal to, equal to) (2850, 850,2715)
In the context of this test, what Type II error?
-A Type I error is (rejecting, failing to reject) the hypothesis that mu is (less than, greater than or equal to, greater than, less than or equal to, not equal to, equal to) (2850, 850,2715) when, in fact, mu is (less than, greater than or equal to, greater than, less than or equal to, not equal to, equal to) (2850, 850,2715).
-Suppose that the group decides not to reject the null hypothesis. What sort of error might it be making? (Type I, Type II)

Attachments
Purchase this Solution
Solution Summary

This post answers multiple-choice questions on setting the null and alternative hypothesis and identifying the correct error type i.e. Type I and Type II.

Solution Preview

Answer the following:
H0: mu = (equal to) (2850)
H1: mu= (less than) (2850)
In the ...

Purchase this Solution
Free BrainMass Quizzes
Terms and Definitions for Statistics

This quiz covers basic terms and definitions of statistics.

Measures of Central Tendency

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

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

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

  • Statistics - Null and Alternate Hypothesis - Type of Error

    261526 Statistics - Null and Alternate Hypothesis - Type of Error Dr. H wants to conduct a statistical test that will show her new medication to be effective in decreasing violence in criminals. a. What is the null hypothesis? b.

  • 5 Step Hypothesis Test

    Type II Error: Failing to reject a false null hypothesis leads to a Type II error.

  • Testing a Null Hypothesis on a Random Sample of 100

    =20, calculate the value of the test statistic z. 8.18 Use a rejection point to test null hypothesis versus alternate hypothesis by setting probability of Type I error equal to .05 8.20 Use a rejection point to test null hypothesis versus alternate

  • Statistics - Null Hypothesis

    A note on Type I and Type II errors: Type I error (the false positive) is the error of rejecting the null hypothesis when it is actually true (For example, as in a student accused of copying in an examination when she really did not) Type II error

  • Research question

    Now express your research question as a null and an alternate hypothesis. Define the meaning of a Type I error and a Type II error, the meaning in terms of the correctness of your response to the situation.

  • Hypothesis Testing: Types of Tests and Errors

    a null hypothesis and test it against our claim, which is taken as the alternate hypothesis (or research hypothesis).

  • Hypothesis Test: Chi-Square Test of Variance

    The alternative hypothesis is that older people are not more likely to buy American cars than younger people. When discussing null hypothesis, look at Type I and Type II errors. Type I errors are also called the level of significance.

  • Hypothesis Testing: Internet Usage for a Company

    Write a null hypothesis and alternate hypothesis. Interpret type 1 and type 2 errors for the null hypothesis. Using alpha = .05, and a t distribution, graph the rejection region.

  • Difference Between Type I and Type II Error in Statistics

    Here are your hypotheses: Null hypothesis: mean is equal to 100 Alternate hypothesis: mean is different from 100 Example of a type I error: If you did your statistical test and found a low p-value (p < 0.05), and rejected the null hypothesis

  • 5-Step Hypothesis Test

    [We can use an error rate of +/- 0.05%] [Please refer to the attachment for details] State the null and alternate hypothesis Null Hypothesis: The countries with higher life expectancy rates (70 and over), have literacy rates greater than or equal

View More Related Solutions