You are required to submit an electronic copy of your assignment to me via Blackboard. Please follow the
submission instructions carefully.
- Assignment #3 consists of six sections (A to F) with several questions per section.
- The “Assignment #3” submission link will be available in the Assessments module. From there you
will be presented with questions from each section, copied from the assignment, and you will answer
each section separately. You can prepare answers in one document and then post individual answers
in the appropriate sections. - If, for whatever reason, you cannot submit your assignment on Blackboard (e.g., Blackboard is
down), please email me the file at twright@sl.on.ca. However, even if you email me the file, I
would also like you to submit on Blackboard as soon as it is accessible again.
Grading
This assignment is worth 10% of your final grade. The assignment will be graded for: (i) accuracy (i.e.,
statistical analysis was performed correctly), (ii) your ability to answer the specific questions that are
asked, and (iii) overall presentation quality. Late assignments will be penalized 10% per day, up to 5 days
(as per the BScN Student Handbook).
Overview
There are six sections in this assignment (A to F). For each section you, are asked to report values and
answer questions based on these values. Be sure to include all values that are asked for and answer all
questions completely. Answer each question following the specific format requested.
Part A
Provide answers to the following questions, recording answers to the indicated decimal places:
A nursing researcher wants to compare the effectiveness of two antihypertensive medications (Drug A and
Drug B) on systolic blood pressure. The researcher collected data from 30 patients using Drug A (mean =
132 mmHg, SD = 8) and 30 patients using Drug B (mean = 126 mmHg, SD = 7). The nursing researcher
tested at a 99.9% confidence level confidence.
Question A1: Are sample sizes appropriate for this test?
Question A2: State the correct null and alternative hypothesis.
Question A3: Is this a one-tail or two-tail test? Dependent or independent?
Question A4: Determine the calculated t-statistic of the sample. You can assume that the variances in each
group are similar. Report the value to two decimal places.
Question A5: Determine the critical t-value from the t-distribution table. Report the value to three decimal
places.
Question A6: Do these results suggest that one antihypertensive drug is more effective than the other drug?
Make a statement accurately summarizing your conclusion.
Part B
Provide answers to the following questions, recording answers to the indicated decimal places:
A health psychologist wanted to answer the question “Does seeing a movie with a person being injured
due to not wearing a seat belt result in attitudes being more positive (higher ratings) toward seat belt
usage?” To do this, the health psychologist conducted an experiment in which participants watched a film
that either did or did not include a person being injured because of not wearing a seat belt. A week later,
as part of a seemingly different study, these same participants reported how important they thought it was
to wear seat belts. The 25 participants who had seen the injury film gave a mean rating of 8.9 with an
estimated population standard deviation of 2.1. The 20 participants in the control condition had a mean of
7.0 with an estimated population standard deviation of 2.4. The health psychologist decided to test at a
99% confidence level confidence.
Question B1: Are sample sizes appropriate for this test?
Question B2: State the correct null and alternative hypothesis.
Question B3: Is this a one-tail or two-tail test? Dependent or independent?
Question B4: Determine the calculated t-statistic of the sample. You can assume that the variances in each
group are similar. Report the value to two decimal places.
Question B5: Determine the critical t-value from the t-distribution table. Report the value to three decimal
places.
Question B6: Do these results suggest that seeing a movie with a person being injured due to not wearing a
seat belt makes attitudes more positive (higher ratings) toward seat belt usage? Make a statement accurately
summarizing your conclusion.
Part C
Provide answers to the following questions, recording answers to the indicated decimal places:
A study investigates whether a nurse-led counseling program reduces anxiety scores in surgical patients.
Researchers recorded anxiety scores (mean = 18.2, SD = 4.0) for 25 non-intervention patients and anxiety
scores (mean = 12.6, SD = 2.8) for a separate group of 25 intervention patients and tested at a 95%
confidence level confidence.
Question C1: Are sample sizes appropriate for this test?
Question C2: State the correct null and alternative hypothesis.
Question C3: Is this a one-tail or two-tail test? Dependent or independent?
Question C4: Determine the calculated t-statistic of the sample. You can assume that the variances in each
group are dissimilar. Report the value to two decimal places..
Question C5: Determine the critical t-value from the t-distribution table. Report the value to three decimal
places.
Question C6: Do these results suggest that counseling is effective in reducing anxiety scores? Make a
statement accurately summarizing your conclusion.
Part D
Provide answers to the following questions, recording answers to the indicated decimal places:
The data below shows students’ marks before and after they attended a remedial statistic “boot camp”. Is
there evidence at 99% confidence that the boot camp improved the participants’ scores on the statistics test?
Student Mark Before Mark After
1 18 23
2 21 20
3 17 20
4 22 27
5 19 19
6 20 26
7 17 16
8 21 25
9 19 25
10 15 19
11 18 17
12 24 26
13 19 27
Question D1: Are sample sizes appropriate for this test?
Question D2: State the correct null and alternative hypothesis.
Question D3: Is this a one-tail or two-tail test? Dependent or independent?
Question D4: Determine the calculated t-statistic of the sample. Report the value to two decimal places.
Question D5: Determine the critical t-value from the t-distribution table. Report the value to three decimal
places.
Question D6: Do these results suggest the boot camp improved the participants’ scores on the statistics test?
Make a statement accurately summarizing your conclusion.
Part E
Provide answers to the following questions, recording answers to the indicated decimal places:
A team of clinical psychologists designed a study in which 24 clients diagnosed as having
generalized anxiety disorder were randomly assigned to one of three new types of therapy,
here labeled X, Y, and Z. One year after therapy, the patients’ overall mental health scores
were as follows:
Mental Health Assessment
Therapy X Therapy Y Therapy Z
80 78 79
79 81 83
84 68 75
67 75 74
60 76 85
72 79 88
79 84 68
73 86 67
At 90% confidence, do these results suggest that the different therapies have different effects
on mental health?
Question E1: Are sample sizes appropriate for this test?
Question E2: State the correct null and alternative hypothesis.
Question E3: Is this a one-way or two-way ANOVA test?
Question E4: Determine the calculated F statistic of the sample. Report the value to two decimal places.
Question E5: Determine the critical F value from the F distribution table. Report the value to two decimal
places.
Question E6: Do these results suggest that the different therapies have different effects on
mental health? Make a statement accurately summarizing your conclusion.
Part F– You will submit an image with your all of your calculations and answersfor this section.
Showing your calculations and submitting via an attached image, provide answers to the following
questions, recording answers to the indicated decimal places:
A clinic examines the association between smoking status (smoker/non-smoker) and adherence to postdischarge care plans (high adherence/ moderate adherence, and low adherence) in 600 patients. Use a Chsquare test, at =0.05, to determine if there is there is a correlation between smoking status and adherence
level. Below result from the study:
Adherence level Non-smoker Smoker Total
Low 50 50 100
Moderate 165 135 300
High 125 75 200
Total 340 260 600
Question F1: Are sample sizes appropriate for this test?
Question F2: State the correct null and alternative hypothesis.
Question F3: Showing your calculations, complete the table for Expected values:
Adherence level Non-smoker Smoker Total
Low
100
Moderate
300
High
200
Total 340 260 600
Question F4: Showing your calculations, determine the calculated Chi-square statistic of the sample. Report
the value to two decimal places.
Question F5: Showing your calculations, determine the degrees of freedom for the Chi-square test.
Question F6: Determine the critical Chi-square value from the Chi-square distribution table. Report the
value to two decimal places.
Question F7: Is there is a correlation there is a correlation between smoking status and adherence to post
discharge care plans? Make a statement accurately summarizing your conclusion.
