Question

In: Nursing

Dr. M is doing a secret study to see how much anxiety affects performance in a...

Dr. M is doing a secret study to see how much anxiety affects performance in a statistics class. He treats two sections of statistics students exactly the same except that one section is taught progressive relaxation skills. It is Dr. M’s hypothesis that these skills will reduce anxiety and thus improve academic performance as measured by the students’ final grades in the course.

What is Dr. M’s independent variable?

What is Dr. M’s null hypothesis?

What is Dr. M’s experimental design?

What type of hypothesis is Dr. M using?

What is an example of a demand characteristic that could pop up in Dr. M’s experiment?

What is an example of a possible experimenter bias that could pop up in Dr. M’s experiment?

How many factors are there in Dr. M’s experiment?

How many levels are there in Dr. M’s experiment?

Solutions

Expert Solution

Independent Variable : ANXIETY

Reason : It is the stimulus that is manipulated or varied by the researcher to create the effect on the dependent variable

Null Hypothesis : There is no relationship between the progressive relaxation skills & students final grade in the course

Reason : A null hypothesis states the existence of no relationship between the independent & dependent variable.

Experimental Design : True experimental design ( Post test only control design )

Reason 1 : ln post test only control design,

No pre test

Only experimental group is receiving treatment ( progressive relaxation skills )

Post trst observation is carried out on both the group

Reason 2 : Here the researcher is able to predict confidently that the observed effect on the dependent variable ( final grade ) is only due to the manipulation of independent variable (Anxiety )

Hypothesis : Progressive relaxation skills will reduce the anxiety and thus improve the final academic performance.

Possible Bias : This study is biased towards those who are in a particular statistics class. It excluded the students in other subjects.


Related Solutions

Donna is testing to see if going to the beach to study for a test affects...
Donna is testing to see if going to the beach to study for a test affects test score. Her data consists of 200 people who went to the beach and 250 people who didn’t go to the beach. What test should she use to analyze her data? Don’t assume that any information about the population exists unless it is stated. Furthermore, it may be that in some cases a t-distribution and a z-distribution are very similar. This does not mean...
Problem 2 A study was conducted to see how long Dr. Kennedy’s patients had to wait...
Problem 2 A study was conducted to see how long Dr. Kennedy’s patients had to wait before their appointment. A random sample of 30 patients showed the average waiting time was 20 minutes with a standard deviation of 16 minutes. (a) Construct a 99% confidence interval for µ, the true mean waiting time and interpret your results. (b) Suppose that Dr. Kennedy worker claims that the average waiting time at his hospital is 20 minutes. Based on the interval above,...
Mr. Acosta, a sociologist, is doing a study to see if there is a relationship between...
Mr. Acosta, a sociologist, is doing a study to see if there is a relationship between the age of a young adult (18 to 35 years old) and the type of movie preferred. A random sample of 93 adults revealed the following data. Test whether age and type of movie preferred are independent at the 0.05 level. Person's Age Movie 18-23 yr 24-29 yr 30-35 yr Row Total Drama 9 18 7 34 Science Fiction 10 12 8 30 Comedy...
Mr. Acosta, a sociologist, is doing a study to see if there is a relationship between...
Mr. Acosta, a sociologist, is doing a study to see if there is a relationship between the age of a young adult (18 to 35 years old) and the type of movie preferred. A random sample of 93 adults revealed the following data. Test whether age and type of movie preferred are independent at the 0.05 level. Person's Age Movie 18-23 yr 24-29 yr 30-35 yr Row Total Drama 9 13 12 34 Science Fiction 11 11 8 30 Comedy...
Mr. Acosta, a sociologist, is doing a study to see if there is a relationship between...
Mr. Acosta, a sociologist, is doing a study to see if there is a relationship between the age of a young adult (18 to 35 years old) and the type of movie preferred. A random sample of 93 adults revealed the following data. Test whether age and type of movie preferred are independent at the 0.05 level. Person's Age Movie 18-23 yr 24-29 yr 30-35 yr Row Total Drama 6 17 11 34 Science Fiction 10 9 11 30 Comedy...
Mr. Acosta, a sociologist, is doing a study to see if there is a relationship between...
Mr. Acosta, a sociologist, is doing a study to see if there is a relationship between the age of a young adult (18 to 35 years old) and the type of movie preferred. A random sample of 93 adults revealed the following data. Test whether age and type of movie preferred are independent at the 0.05 level. Person's Age Movie 18-23 yr 24-29 yr 30-35 yr Row Total Drama 6 13 15 34 Science Fiction 14 11 5 30 Comedy...
Mr. Acosta, a sociologist, is doing a study to see if there is a relationship between...
Mr. Acosta, a sociologist, is doing a study to see if there is a relationship between the age of a young adult (18 to 35 years old) and the type of movie preferred. A random sample of 93 adults revealed the following data. Test whether age and type of movie preferred are independent at the 0.05 level. Person's Age Movie 18-23 yr 24-29 yr 30-35 yr Row Total Drama 10 18 6 34 Science Fiction 13 10 7 30 Comedy...
Mr. Acosta, a sociologist, is doing a study to see if there is a relationship between...
Mr. Acosta, a sociologist, is doing a study to see if there is a relationship between the age of a young adult (18 to 35 years old) and the type of movie preferred. A random sample of 93 adults revealed the following data. Test whether age and type of movie preferred are independent at the 0.05 level. Person's Age Movie 18-23 yr 24-29 yr 30-35 yr Row Total Drama 8 15 11 34 Science Fiction 15 12 3 30 Comedy...
Mr. Acosta, a sociologist, is doing a study to see if there is a relationship between...
Mr. Acosta, a sociologist, is doing a study to see if there is a relationship between the age of a young adult (18 to 35 years old) and the type of movie preferred. A random sample of 93 adults revealed the following data. Test whether age and type of movie preferred are independent at the 0.05 level. Person's Age Movie 18-23 yr 24-29 yr 30-35 yr Row Total Drama 8 17 9 34 Science Fiction 14 11 5 30 Comedy...
Mr. Acosta, a sociologist, is doing a study to see if there is a relationship between...
Mr. Acosta, a sociologist, is doing a study to see if there is a relationship between the age of a young adult (18 to 35 years old) and the type of movie preferred. A random sample of 93 adults revealed the following data. Test whether age and type of movie preferred are independent at the 0.05 level. Person's Age Movie 18-23 yr 24-29 yr 30-35 yr Row Total Drama 9 16 9 34 Science Fiction 9 10 11 30 Comedy...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT