Based on the given options, the statement that is true is: "null hypothesis: rate of defect free production 0.95".
This means that the hypothesis is that the rate of defect-free production is 95% and there is no significant difference from this rate. The other two options are alternative hypotheses, suggesting that the rate of defect-free production is 95% among tested products or that it is not 95%. However, without more information or context, it is unclear which hypothesis is more appropriate for the given statement about the laser printer product line. In statistics, the null hypothesis is a statement that is assumed to be true unless there is sufficient evidence to reject it. It is often used in hypothesis testing to determine if there is a significant difference between two groups or if an observed effect is due to chance. The null hypothesis is typically the hypothesis that the researcher wants to disprove, and it is usually denoted as H0. When conducting a hypothesis test, the null hypothesis is compared to the alternative hypothesis, which is the hypothesis that the researcher wants to prove. If the null hypothesis is rejected, it means that there is enough evidence to support the alternative hypothesis