Answer:
0.052 > 0.05, which means that there is not significant evidence that the population mean is less than a.
Explanation:
At the null hypothesis, we test if:
![H_0: \mu \geq a](https://img.qammunity.org/2022/formulas/mathematics/college/yrzrm514uhamz3vhuekcpyfyxpr0tz2dia.png)
At the alternative hypothesis, we test if:
![H_1: \mu < a](https://img.qammunity.org/2022/formulas/mathematics/college/8pjs6lsw3a0xv21kaxkerkkrmgtbx8yxkm.png)
Standard significance level of 0.05:
If the p-value > 0.05: no significant evidence that the population mean is less than a.
p-value < 0.05: significant evidence that the population mean is less than a.
You obtain a P-value of 0.052. Which of the following statements is true?
0.052 > 0.05, which means that there is not significant evidence that the population mean is less than a.