Answer:
False
Explanation:
When the null hypothesis is not rejected, it does not mean that the null hypothesis is proven to be true. Instead, it suggests that there is not enough evidence to reject the null hypothesis based on the available data or statistical analysis. There could still be a possibility that the null hypothesis is false but the data or analysis did not provide enough evidence to support it.