question archive 1) In hypothesis testing, a Type 2 error occurs when 2) A result is called “statistically significant” whenever The p-value is larger than the significance level
1) In hypothesis testing, a Type 2 error occurs when 2) A result is called “statistically significant” whenever The p-value is larger than the significance level
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1) In hypothesis testing, a Type 2 error occurs when
2) A result is called “statistically significant” whenever
| The p-value is larger than the significance level. |
| The alternative hypothesis is true. |
| The null hypothesis is true. |
| The p-value is less or equal to the significance level alpha. |
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ANSWER:
1.
In hypothesis testing, a Type 2 error occurs when "the null hypothesis is not rejected when the alternative hypothesis is true"
Explanation:
Type II error is a statistical concept used in the sense of a hypothesis test that describes an error that occurs when one supports a null hypothesis that is actually incorrect.
The mistake denies the alternative explanation, even though it is not due to chance.
2.
A result is called “statistically significant” whenever,
The p-value is less than or equal to the significance level alpha .
P-value 
