Answer:
P-value is greater than alpha, the significance level thus we fail to reject the null hypothesis.
Explanation:
We are given the following information in the question:
![H_0 = 0.52\\H_a < 0.52](https://img.qammunity.org/2020/formulas/mathematics/college/uk9pjsd7kco7d5mgx1bmh1mc4d8lr7zwki.png)
P-Value = 0.078
![Alpha, ~\alpha = 0.05](https://img.qammunity.org/2020/formulas/mathematics/college/pamftaxkkjwo11bpqxp9zz30sfdl8ojht9.png)
We have to reach on a conclusion on the basis of p-value.
P-Value is the probability of finding an observation, basically, it could ne said the probability when the null hypothesis is true.
Alpha is the significance level.
So, if the p-value is greater than the chosen significance level, we fail to reject the null hypothesis and accept it and if the p-value is smaller than the significance level then we reject the null hypothesis and accept the alternate hypothesis.
Since
![P-Value > \alpha](https://img.qammunity.org/2020/formulas/mathematics/college/hc1nscuvti89fpxql72vlytumb2fuq3wi9.png)
P-value is greater than alpha, the significance level thus we fail to reject the null hypothesis.