Unit 5 Written Assignment 1. A consumer group suspects that a soft drink has higher sugar levels than what is acceptable. They hired a researcher to investigate this issue. Write a null and alternative hypothesis for this study. Null hypothesis H0: The sugar levels in the soft drink do not exceed the levels that are acceptable. Alternative hypothesis H1: The sugar levels are different than what is acceptable, either by being too high or too low. Explain in words what a Type 1 error would mean in this situation. A type 1 error can occur if the null hypothesis is rejected. This means that the probability indicates that the sugar levels are different than what …show more content…
A type 2 error can occur if the null hypothesis is accepted as untrue. This means that the probability indicates that the sugar levels are at an acceptable level when they are, in fact, not. 2. What is the difference between a'smart' and a'smart'? In a research study, you decided to change the significance level from the standard 0.05 to 0.01. Explain how this would influence: Type 1 error: If I increased the significance level from.05 to.01, a type 1 error would be less likely to occur, meaning it would decrease. Type 2 error: If I increased the significance level from.05 to.01, a type 2 error would be more likely to occur, meaning it would increase. Power: If I increased the significance level from.05 to.01, the power would become more difficult to have statistical significance, meaning it would decrease. 3. What is the difference between a'smart' and a'smart'? You were asked to investigate the association between smoking among mothers and infants with low birth weight. You were asked to calculate a measure of association, like an Odds Ratio, together with the confidence intervals. They asked you to calculate a 90% confidence interval instead of a 95% confidence interval. Will the lowering of the