Week 1 Knowledge Check.

question 1 : Week 1 Knowledge Check Question 1 (1 point) Question 1: The statistical process of using samples to estimate population parameters is known as: Question 1 options: Statistical interference. Statistical inference. Statistical confidence. Descriptive statistics. Question 2 (1 point) Question 2: If a researcher wishes to determine whether there is evidence that the mean fasting glucose level in adults with type 2 diabetes is different from 110mg/dL, then Question 2 options: a two-dependent samples t-test should be considered. a two-independent sample t-test should be considered. a one-sample t-test should be considered. either a one-sample or two-dependent samples t-test should be considered. Question 3 (1 point) Question 3: Power is defined as: Question 3 options: the probability that you will retain/keep the null hypothesis if it is false. the probability that you will reject the null hypothesis if it is true. determined by your research hypothesis only. the probability that you will reject the null hypothesis if it is false. Question 4 (1 point) Question 4: The probability of rejecting the null hypothesis that is true is known as the: Question 4 options: Type I error Type II error statistical power confidence level Question 5 (1 point) Question 5: Two random samples have sizes of n=100 and n=75 respectively. Which of the following is true for a 95% confidence interval? Question 5 options: The sample of n=75 has a greater degree of confidence. The sample of n=100 has a greater degree of confidence. The confidence interval for the sample of n=100 is narrower. The confidence interval for the sample of n=100 is wider