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Using Your TI83/84/89 Calculator for Hypothesis Testing: The One Sample t Test Dr. Laura Schultz Statistics I The one sample t test is used to test hypotheses regarding population means. This handout
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How to fill out form one-sample t test

01
Step 1: Gather the necessary data for your one-sample t test.
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Step 2: Determine your null and alternative hypotheses.
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Step 3: Calculate the sample mean and standard deviation.
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Step 4: Determine the critical value or p-value for your test.
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Step 5: Conduct the t test using the formula: t = (sample mean - population mean) / (standard deviation / sqrt(sample size)).
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Step 6: Compare the calculated t value with the critical value or p-value to make a decision.
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Step 7: Interpret the results of your one-sample t test in the context of your research question.

Who needs form one-sample t test?

01
Researchers and statisticians who want to compare the mean of a single sample to a theoretical mean.
02
Individuals conducting scientific experiments or research studies.
03
Students learning about hypothesis testing and statistical analysis.
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Form one-sample t test is a statistical method used to determine if the mean of a sample differs significantly from a known or hypothesized population mean.
Researchers, statisticians, and analysts who are conducting studies or experiments and need to analyze the data using the one-sample t test.
To fill out form one-sample t test, you need to input the sample data, calculate the t statistic, determine the degrees of freedom, and compare the result to the critical t-value.
The purpose of form one-sample t test is to determine if there is a statistically significant difference between the mean of a sample and a known or hypothesized population mean.
The sample data, the calculated t statistic, the degrees of freedom, and the comparison to the critical t-value must be reported on form one-sample t test.
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