Purchase Solution

Appropriate Non-Parametric Testing

Not what you're looking for?

Ask Custom Question

In an effort to link cold environments with hypertension in humans, a preliminary experiment was conducted to investigate the effect of cold on hypertension in rats. Twelve rats were assigned at random to two groups (6 in a group), in which each group was exposed to a different environment. One group was held in a normal environment at 26C while the other group was held in a cold 5C environment. Blood pressures and heart rates were measured for rats in both groups. Note: group 1 = 5C and group 2 = 26C. Dataset: hypertension_2008.xls

a. Use the appropriate nonparametric test to determine if there is difference in blood pressure between the two temperature levels. State the null and alternative hypothesis, p-value (using the z-approximation) and conclusion within the context of the problem.
b. Using the exact method, what is the rejection region (i.e., critical values)? Does your conclusion change from the conclusion based on the approximate p-value?
c. What would be the consequence on the type I error of using a parametric test that does not meet the model assumptions?

Attachments
Purchase this Solution
Solution Summary

This solution creates a null and alternative hypothesis and conducts a statistical analysis in Excel file. A decision rule is created and a two-tailed test is conducted to compare the z-statistic to the p-value to accept or reject the null hypothesis. A

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

  • Parametric vs. Non-parametric Testing

    (b) Repeat the test using an appropriate non-parametric test.

  • Statistical definitions and examples.

    Explain when its appropriate to use Parametric and Non-Parametric testing procedures: Parametrical testing is for those statistics that are rigid and have normal assumptions about the variables.

  • Compare and contrast the characteristics of parametric and non-parametric test methodologies

    The solution compares and contrasts the characteristics of parametric and non-parametric test methodologies. The role of variance in difference of means hypothesis testing is discussed.

  • Non-parametric test, parametric alternative, counterparts

    For each of the following parametric tests, identify the appropriate non-parametric counterpart: a. Dependent t-test b. Independent samples t-test c. Repeated measures ANOVA (one-variable) d. One-way ANOVA (independent) e.

  • Data Falling on a Normal Distribution

    Would it be appropriate to use parametric or nonparametric procedures to analyze these data? Defend your response. Use the non parametric procedure because ordinals do not support use of the means or variance testing.

  • Hypothesis Testing - Parametric and Nonparametric Statistics

    184072 Hypothesis Testing - Parametric and Nonparametric Statistics Can the formal hypothesis testing approach be used for non parametric tests? a. How are parametric and nonparametric statistics different? b.

  • parametric and nonparametric hypothesis test

    Can the formal hypothesis testing approach be used for non parametric tests? a) How are parametric and nonparametric statistics different? b) How are parametric and nonparametric statistics similar?

  • One-way ANOVA F-test, & Chi-Square test examples

    Non-parametric tests would be used in place of a parametric test such as the one-way ANOVA when the data are not normally distributed. Parametric tests (i.e. ANOVA, t-tests, etc.) are only appropriate if we have data that are normally distributed.

  • Nonparametric Tests and Hypothesis Testing

    172005 Nonparametric Tests and Hypothesis Testing Can the formal hypothesis testing approach be used for nonparametric tests? Yes, the formal hypothesis testing approach of the testing non-parametric 5 step procedure is usually used in tests.

  • formal hypothesis testing

    The basic difference between non parametric and parametric tests is that non parametric tests do not make assumptions about the shape of the population distribution.

View More Related Solutions