Purchase Solution

Hypothesis

Not what you're looking for?

Ask Custom Question

Suppose a random sample of 100 observers from a binomial population gives a value of p* = .63 and you wish to test the null hypothesis that the population parameter p is equal to .70 against the alternative hypothesis that p is less than .70.

a) Noting that p* = .63, what does your intuition tell you? Does the value of p* appear to contradict the null hypothesis?

b) Use the large sample z-test to test Ho: p = .70 against the alternative hypothesis, Ha: p < .70. Use ? = .05. How do the test results compare to your intuitive decision from part a?

c) Find and interpret the observed significance level of the test you conducted in part b.

*** p* is supposed to be a p with a "pointed arch" over it. I'm not sure how to describe it but it is like a triangle with no base pointing up over the p in the problem in the book. Ho and Ha are italicized and the o and a is subset (the o and a are actually dropped below the H to the right).

Purchase this Solution
Solution Summary

A complete, neat and step-by-step solution is provided that tests the random sample of 100 observers from a binomial population.

Purchase this Solution
Free BrainMass Quizzes
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.

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.

View More Free Quizzes
Related BrainMass Solutions

  • Why does hypothesis testing involve double-negative logic?

    Null hypothesis could not be rejected...is this true? --------------------------- In the hypothesis testing, we should have to either reject the null hypothesis H0 or not reject the null hypothesis H0.

  • Is Rejecting the Null Hypothesis a Certainty?

    230365 The Truth of the Null Hypothesis When we reject the null hypothesis, we are certain that the null hypothesis is false? Yes or No?

  • Hypothesis testing: Double negative logic, five step process

    The general procedure of statistical testing of hypothesis is as follows: Specify the hypothesis to be tested (called the null hypothesis) and the alternative hypothesis (the hypothesis to be accepted, in case, the null hypothesis is rejected after

  • Null and Alternative Hypotheses

    112621 Explain the null and alternate hypotheses Discuss the null hypothesis. How is it framed? What is the alternate hypothesis? How does it relate to the null hypothesis?

  • Accepting the null hypothesis or failing to reject it

    446091 Accepting the null hypothesis or failing to reject it Consider the seven steps of hypothesis testing. The final step in the hypothesis-testing process involves deciding whether to reject the null hypothesis.

  • Characteristics of a Good Research Hypothesis

    263865 Characteristics of Good Research Hypothesis Discuss the characteristics of a good research hypothesis. What distinguishes a null hypothesis from a research hypothesis?

  • The Purposes of a Hypothesis Test

    240917 The Purposes of a Hypothesis Test What is the purpose of a hypothesis test? What goes in the null hypothesis and what goes in the alternate hypothesis? Why is it inappropriate to put a sample statistic in the hypothesis?

  • Hypothesis for clinical psychologist treating eating disorder

    Be specific in explanation of both hypothesis/null hypothesis and why?

  • Identification of hypothesis and null hypothesis

    The Null Hypothesis There are two applications or general views of what a Null hypothesis is. In statistics, the null hypothesis is a likely, plausible hypothesis that is assumed to explain a set of data that the hypothesis ignores/cant.

  • Hypothesis Testing

    It is important to understand that the null hypothesis can never be proven; it can only not be rejected. The second step in hypothesis testing is specifying the alternative hypothesis. The alternative hypothesis is opposite of the null hypothesis.

View More Related Solutions