Name:
Date:
Topic One: Mean, Variance, and Standard Deviatio
Please type your answer in the cell beside the question.
Please type you answer in the cell beside the question.
1. Identify the sampling technique being used. Every 20th patient that co
emergen
Name:
Date:
Hypothesis Testing
Answer each question completely to recieve full credit
1. There is a new drug that is used to treat leukemia. The following data
represents the remission time in weeks for a random sample of 21
patients using the drug.
10
11
Name:
Date:
Topic 2: Population and Sampling
Distribution Excel Worksheet
Directions: Answer all questions and submit to instructor at the end of Topic 2
1 A. For a normal distribution that has a mean of 100,
and a standard deviation of 8, determine the Z
EXERCISE 18 Mean and Standard Deviation
Name: _
1. Assuming that the distribution is normal for weight relative to the ideal and 99% of the male
participants scored between (53.68, 64.64), where did 95% of the values for weight relative to
the ideal lie?
Name:
Date:
Topic 4: ANOVA Excel Worksheet
Directions: Answer all questions and submit to instructor at the end
of Module 4
Statistical Conclusion:
F=1.65<3.25=Fcrit
Thus we fail to reject the null hypothesis.
Experimental Conclusion: There is not suffic
Week 3 DQ 1
To determine when using a ztest is more appropriate than a ttest you first
have to understand the difference between a zscore and a tscore. A zscore is a measure of how many standard deviations below or above the
population mean a measured
Wk 5 DQ 1
Correlation is a statistical measure that indicates the extent to which two or
more variables fluctuate together. A linear correlation indicates a very strong
correlation, however no matter how strong the correlation, correlation is not
the same
W3Q2 HLT 362 Intro to Statistics GCU
Before doing hypothesis testing a researcher has to choose a significance
level (denoted ). The significance level is used to determine if the test
results are statistically significant and also determine the probabili
Wk4Q2 HLT 362 GCU
In statistics an interaction may occur when your study involves two or more
independent variables. An interaction occurs when one of the independent
variables depends on one or more of the other independent variables.
For Example if a re
HLT362V Applied Statistics for Healthcare ProfessionalsGrand Canyon University
Week 2 Q1
In statistics, samples are chosen to represent a large population because it is
difficult to include everyone in the sample. Random sampling is used
because it is m
EXERCISE 36 Analysis of Variance (ANOVA)
Name: _
1. The researchers found a significant difference between the two groups (control and
treatment) for change in mobility of the women with osteoarthritis (OA) over 12 weeks with the
results of F(1, 22) = 9.6
EXERCISE 11 & 16
Exercise 11  Using Statistics to Describe a Study Sample
Name: _
1. What demographic variables were measured at least at the interval level of measurement?
Age, Income, Length of Labor, Return to work, and Number of hours of work per wee
Wk 5 DQ 2 HLT 362 GCU
So we have all heard the phrase 90% of all statistics are made up in that
moment. Because the average person does not have a strong background
in statistics or even math, statistics are often used in a misleading way.
For Example, a
HLT362V Applied Statistics for Healthcare ProfessionalsGrand Canyon University
Week 2 Q1
In statistics, samples are chosen to represent a large population because it is
difficult to include everyone in the sample. Random sampling is used
because it is m
Social, Behavioral, and Cultural Factors in Public Health
HLT 560

Spring 2016
Life or Death Decisions
Bettina Pennix
March 2, 2016
Author Affiliation
A 96yearold male patient is admitted to the ICU with terminal liver
cancer. He is confused and disoriented, very skinny and appears underfed,
and is covered with bruises, which are
Social, Behavioral, and Cultural Factors in Public Health
HLT 560

Spring 2016
One of the numbers on killer among women, unfortunately, is heart disease. One woman dies
every minute from heart disease. It kills more women than breast cancer, AIDS, and accidents
combined. These statics are quite scary, but what many people dont know