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    I am doing a two sample t test to calculate something and in my write up, I have written

    "A predetermined level of significance (α – level) was set to assess the null hypothesis based on a probability value (p value). If the p-value is greater than the α-level, then the null hypothesis can be accepted. If the p-value is less than or equal to the α-level then the null hypothesis is rejected. For this analysis the α-level was set at 0.025 giving a 95% confidence of the result.

    For the α-level of 0.025, it is 95% certain that the true difference between population mean values lies within the confidence interval. The estimate for difference is the difference between the population mean values as calculated from the sample data.

    The p value was calculated as shown:

    \displaystyle p = \frac{\bar{x_1} - \bar{x_2}}{\sqrt{\frac{\sigma_1^  2}{n_1} + \frac{\sigma_2^2}{n_2}}}

    using 'n-2' degrees of freedom."

    Is the terminology in that correct. Have I used "p values" correctly there or should it be "t" value?
 
 
 
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