What are the limitations of the null hypothesis?

Help! Hypothesis testing for Statistics Quiz?

• I Have a really hard quiz and i cannot find these answers. We don't have a textbook. Help, please only answer if your 100% certain. This quiz determines if I get an A or B. Thank you. Question 1 (1 point) A t-test makes several assumptions. Which of the following is NOT among them? Question 1 options: A) Sample is sufficiently large B) Variable values are based on a random sample of the population C) Dependent variable has a Poisson distribution D)Normally distributed dependent variable Question 2 (1 point) Significance tests compare sample data to ______. Question 2 options: A)an arbitrarily derived value B)data expected under the null condition C) data from another study D)the true population parameter Question 3 (1 point) Suppose you observe the following in your analysis of variable G: mean = median = mode. This observation would be expected under the _____. A)The Fundamental Theorem of Statistics B)Central Limit Theorem C)Bayes' Theorem D)Gauss' Theorem Question 4 (1 point) Any significance test is only a test of the null hypothesis because _____. Question 4 options: A)the alternative hypothesis has no measurable distribution B)the null hypothesis always represents the true population parameter C)you always want to disprove the null hypothesis D)only the null distribution can be precisely known Question 5 (1 point) A two-tail t-test is a stronger test of the null hypothesis. Question 5 options: True False Question 6 (1 point) Which of the following is MOST LIKELY to lead to a Type-II error? Question 6 options: A)A small sample size B)A small degree of measurement error C)An unknown population parameter D)Observations with missing data Question 7 (1 point) Which of the following is the correct definition of Type-I error? Question 7 options: A)Acceptance of the alternative hypothesis B)Failure to reject the null when the null is false C)Rejection of the null when the null is true D)Rejection of the null when the null is false Question 8 (1 point) The power of a significance test is defined as _____. Question 8 options: A)the fact that the sample size is sufficiently large to test the null hypothesis B)the ability of the test to correctly reject the null hypothesis C)setting a small alpha value, such as p <.001, as the criterion for rejecting the null hypothesis D)the process of maximizing the accuracy of estimates of a population parameter Question 9 (1 point) Which of the following is correct definition of the term independent samples? Question 9 options: A)Two or more samples for which selection into one sample influences selection into another. B)Any data collected from two or more groups participating in different studies C)Two or more samples for which selection into one sample does not influence selection into another D)Samples taken from a population in successive order over a period of time Question 10 (1 point) The p-value (or Sig. value) indicates the probability of _____. Question 10 options: A)observing sample data in a null distribution B)correctly calculating the true difference between a sample statistic and a population parameter C)rejecting the alternative hypothesis D)making a Type-II error

• Answer:

  Take the few questions... 4. Any significance test is only a test of the null hypothesis because Answer: only the null distribution can be precisely known 5. A two-tail t-test is a stronger test of the null hypothesis. Answer: True 6. Which of the following is MOST LIKELY to lead to a Type-II error? Answer: A small sample size Good luck!