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What type of data is random test scores ordinal or nominal?
ratio
Are multiple choice tests measured at ordinal scale or interval scale?
Ordinal. Tests responses are usually correct or incorrect. This would be assigned a value and the number of correct answers is the score of the test. There is a logical order, a correct answer is better than an incorrect answer, so it is not nominal data. Even though we calculate averages, test responses are not interval data, as there is no meaning to the interval. See related link.
In the statistical approach data is collected and used to test what?
To test a prediction based on one of two hypotheses.
What measures of association can be used for nominal data?
A powerful test is the chi-square contingency table.
Which conditions must be met to conduct a test for the difference in two sample means?
The two samples must be independent and the data must be at least ordinal. Under those conditions the Mann-Whitney U test can be used.
What type of data is random test scores ordinal or nominal?
ratio
Can you do an ANOVA with nominal data?
The independent variable in ANOVA must be categorical (either nominal or ordinal). The dependent variable must be scale (either interval or ratio). However, it is possible to recode scale variables to categorical and vice versa in order to perform ANOVA. While this is a common practice in many social sciences, it is controversial. I have also seen studies where ordinal data is treated as scale in ANOVA. Personally, I do not endorse either practice as they are tailoring the data to fit the test instead of the proper method of selecting a test that fits the data.
Are multiple choice tests measured at ordinal scale or interval scale?
Ordinal. Tests responses are usually correct or incorrect. This would be assigned a value and the number of correct answers is the score of the test. There is a logical order, a correct answer is better than an incorrect answer, so it is not nominal data. Even though we calculate averages, test responses are not interval data, as there is no meaning to the interval. See related link.
When do you use goodness of fit in statistical analysis?
statistical goodness of fit test used for categorical data to test if a sample of data came from a population with a specific distribution. It can be applied for discrete distributions.
In the statistical approach data is collected and used to test what?
To test a prediction based on one of two hypotheses.
What measures of association can be used for nominal data?
A powerful test is the chi-square contingency table.
What are examples of parametric and nonparametric statistical tests?
Parametric statistical tests assume that your data are normally distributed (follow a classic bell-shaped curve). An example of a parametric statistical test is the Student's t-test.Non-parametric tests make no such assumption. An example of a non-parametric statistical test is the Sign Test.
What is a chi square test?
The Chi-square test is a statistical test that is usually used to test how well a data set fits some hypothesised distribution.
What type of test are to compare data from an experiment to determine if results are due to chance?
statistical tests
What test to use for non-normal distribution with data that's not nominal?
It depends on what you want to test. Goodnesss of fit or some null hypothesis?
What is the definition of ordered data?
Ordered data is pretty simple. It is data which is measured (or found from a test) in ordinal types of measurement. E.G. 1 cat, 2 cats, 3 cats etc.
What is the Kruskal-Wallis test, and when is it appropriate to use it?
The Kruskal-Wallis test is a non-parametric statistical test used to compare the medians of three or more independent groups. It is appropriate to use when the data violate the assumptions of parametric tests, such as ANOVA, such as non-normality or unequal variances. It is commonly used when analyzing ordinal or continuous data that are not normally distributed. You can get expert assistance also from various online consultancies such as SPSS-Tutor, Silverlake Consult, etc.
