Answer:
You need to Choose a 0.01 significance level , instead of 0.05 significance level.
Step-by-step explanation:
Consider the provided information.
It is given that type I error has been committed.
Type I error occur, if we rejected the null hypothesis even null hypothesis is true.
We reject the null hypothesis if p-value < α
Accept the null hypothesis if p-value ≥ α
According to given condition the value of α is 0.05 that means 95% chance that your assumption is correct and 5% chance that assumption is wrong.
In order to reduce the risk of this error you need to increase the significance level so that the value of α becomes lower than the p value.
lower α means you will be less likely to detect a true difference if one really exists.
Hence, you need to Choose a 0.01 significance level , instead of 0.05 significance level.
