A researcher sets the significance level (α) at .05. If the results of the statistical analysis reveal a p-value of .022, the researcher should ___ the null hypothesis. The potential error that the researcher is making is a Type ____ error.
Rejecting null hypothesis.
Rational:
1. When the p value is more than 0.05 we should accept the null hypothesis and when p value is less than 0.05 means rejecting null hypothesis.
2. Here p value is 0.022, so null hypothesis is rejected.
Type 1 error:
Rational:
1. When the researcher rejecting true null hypothesis is called type 1 error.
2. Its also known as false positive finding conclusion.
A researcher sets the significance level (α) at .05. If the results of the statistical analysis...
A researcher sets the significance level (α) at .05. If the results of the statistical analysis reveal a p-value of .05, the researcher should ______ (reject or fail to reject) the null hypothesis. The potential error that the researcher is making is a Type _____ (I or II) error.
A researcher sets the significance level (α) at .05. If the results of the statistical analysis reveal a p-value of .061, the researcher should ______ the null hypothesis. The potential error that the researcher is making is a Type_____error.
A researcher sets the significance level (α) at .01. If the results of the statistical analysis reveal a p-value of .009, the researcher should ____the null hypothesis. The potential error that the researcher is making is a Type ____ error.
A researcher sets the significance level (α) at .01. If the results of the statistical analysis reveal a p-value of .015, the researcher should ___ the null hypothesis. The potential error that the researcher is making is a Type ___error.
A researcher sets the significance level (α) at .01. If the results of the statistical analysis reveal a p-value of .01, the researcher should reject the null hypothesis. The potential error that the researcher is making is a Type____ error.
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