Research question: Do mice who live in an environment with a dim light on at night gain more weight than mice who live in an environment that is dark at night?

A team of researchers is conducting a small pilot study to determine if they should invest a lot of money in running larger studies examining the impact of lighting on weight gain. They obtain a sample of 18 mice. Using a random number generator, 10 mice were assigned to the "Light" condition and 8 mice were assigned to the "Dark" condition. Each mouse's body mass gain, in grams, was measured after three weeks of living in the assigned conditions.

B.What does a Type I error mean in this situation? What are the consequences of making a Type I error in this specific scenario? [10 points] ((( IS this answer good jQuery224006903758378385372_1582489486524?)))

Type 1 error means that researcher initially rejected In reality is true. The consequence of this error is that there could really be a difference in the population of mice, in which case we made a correct decision. Or, it is possible that there is not a difference in the population in mice but our sample was different from the hypothesized value due to random sampling variation, the small amount of mice we used.

C.What does a Type II error mean in this situation? What are the consequences of making a Type II error in this specific scenario? [10 points]((( IS this answer good )))

Type II means that the researchers failed to reject the hypothesis. In reality null hypothesis is false.

what will be the consequences???

D. In this scenario, is a Type I or Type II error more serious? Or, are they equally serious?Explain your reasoning. [10 points]

i dont not understand how to answer this question.

D.If you were working with this research team, what alpha level would you use? Explain your reasoning. [10 points]((( IS this answer good??? )))I would use 0.05, this alpha is the universal alpha to use when a confidence level is not suggested.