If the level of significance is 10 %, then the potential type of statistical error is type II error.
What is statical error?
The term "error" (also known as "statistical error") refers to the discrepancy between a value obtained through a data gathering procedure and the population's "actual" value. The data are less representative of the population the higher the inaccuracy.
In the given test,
The p-value = 0.24
Level of significance (a) = 0.10
Here,
0.24 > 0.10
P-value > level of significance
Therefore, We failed to reject the null hypothesis that is actually false
This is type II error,
The type II error occurs when one fails to reject a null hypothesis that is actually false itself.
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