Test Statistics for List of Person Heights (n=100)

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SuperMiguel
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So i have a list of different person height (n=100) between 5 and 8 foot.

1) Test H0: mu = 5.9 vs Ha: mu (not) = 5.9ft with alpha = 0.05?
2) Test H0: Student height has a normal distribution vs H1: Student doesn't have a normal distribution alpha = 0.05 using X^2 distribution

What does it mean by test? what do i have to do here?
 
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no one?
 
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SuperMiguel said:
no one?

My advice: look in your textbook and course notes. Then, if there is a specific aspect you do not understand, ask the question here. For example, people here are often willing to clear up points of confusion that students may have with course-notes or textbooks' explanations---but your question is far too general.

RGV
 

FAQ: Test Statistics for List of Person Heights (n=100)

1. What is the purpose of conducting a test statistic for a list of person heights with n=100?

The purpose of conducting a test statistic for a list of person heights is to determine if there is a significant difference between the heights of the individuals in the sample. This can help researchers make inferences about the overall population and identify any patterns or relationships between height and other variables.

2. How is the test statistic calculated for a list of person heights with n=100?

The test statistic is calculated by taking the difference between the observed heights and the expected heights (based on the null hypothesis), and dividing it by the standard deviation of the sample. This calculation is typically done using statistical software or a calculator.

3. What type of test statistic should be used for a list of person heights with n=100?

The appropriate test statistic to use for a list of person heights with n=100 will depend on the research question and the type of data being analyzed. Commonly used test statistics for this type of data include the t-test, ANOVA, and correlation coefficient.

4. How can a test statistic for a list of person heights with n=100 be interpreted?

The test statistic can be interpreted by comparing it to a critical value or p-value. If the test statistic is larger than the critical value or the p-value is smaller than the chosen significance level, then the null hypothesis can be rejected, indicating that there is a significant difference between the heights in the sample. Otherwise, if the test statistic is smaller than the critical value or the p-value is greater than the significance level, then the null hypothesis cannot be rejected.

5. What are some limitations of using test statistics for a list of person heights with n=100?

One limitation is that the results may not be generalizable to the entire population, as the sample size may be too small or not representative. Another limitation is that test statistics cannot establish causality, only correlations. Additionally, the accuracy of the results can be affected by the assumptions made in the calculation of the test statistic.

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