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
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
Name:
Date:
Topic One: Mean, Variance, and Standard Deviation
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 comes int
Timestamp
UntitledQuestion
Name:
Date:
Topic One: Mean, Variance, and Standard
Deviation
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
Statistics exercises 11 and 16
Exercise: 11:
5. Yes, they were similar because the numbers for both groups types of feeding are
very close to the same. There is only between a 1 and 3 percent difference.
6. Marital status mode for both groups is married w
Exercise 18
Week 2 Statistics
6. Assuming that the distribution of Mental Health scores for men is normal, where are 99% of the mens mental
health scores around the mean in this distribution? Round your answer to two decimal places.
Formula for determinin
Name:
Date:
Population and Sampling
Distribution Excel
Worksheet
1 Directions:normal distribution that submit to instructor at the end of
A. For a Answer all questions and has a mean of
Module 2
100 and a standard deviation of 8. Determine the
Z-score for
EXERCISE 18
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
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
Timestamp
UntitledQuestion
Name:
Date:
Topic One: Mean, Variance, and Standard
Deviation
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
EXERCISE 11 Questions to be Graded
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 worked
per week
2.
What statistics were used to describe the len
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
Exercise 20
6. Assuming that the distribution of the preoperative CVLT Retrieval T scores is normal, the middle 68% of the
patients had T scores between what two values?
The preoperative CVLT Retrieval T score is 47.8(5.8)
47.8+5.8=53.6
47.8-5.8=42
Preope
Now that you are familiar with the basic concepts of statistics, what are some examples of
when you have seen or heard statistics used inappropriately?
This is a good question because I was just viewing a graph the other day and noticed something
misleadi
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
Exercise 20
1) Which patient scored the highest on the preoperative CVLT Acquisition?
What was his or her T score?
Patient 3 scored the highest with a T score of 63.
2) Which patient scored the lowest on postoperative CVLT Retrieval? What
was this patient
1.
The researchers analyzed the data they collected as though it were at what
level of measurement?
d. Experimental
2.
What was the mean posttest empowerment score for the control group?
97.12
3.
Compare the mean baseline and posttest depression scores of
Describe the error in the conclusion. Given: There is a linear correlation between the
number of cigarettes smoked and the pulse rate. As the number of cigarettes increases the
pulse rate increases. Conclusion: Cigarettes cause the pulse rate to increase.
Name
Date
5 July 2017
Course
Section
HLT362v
EXERCISE 14
Understanding Simple Linear Regression
1. According to the study narrative and Figure 1 in the Flannigan et al. (2014) study, does the APLS UK
formulae under- or overestimate the weight of children
Name
Date
Course
Section
7 June 2017
HLT362v
EXERCISE 29
Calculating Simple Linear Regression
1. If you have access to SPSS, compute the Shapiro-Wilk test of normality for the variable age (as
demonstrated in Exercise 26). If you do not have access to SPS
EXERCISES
Follow your instructors directions to submit your answers to the following questions for grading.
Your instructor may ask you to write your answers below and submit them as a hard copy for
grading Alternatively, your instructor may ask y
Question to Be Graded: Exercise 6
1. What are the frequency and percentage of the COPD patients in the severe airow limitation
group who are employed in the Eckerblad et al. (2014) study?
The frequency is 7 and the percentage is 14%.
2. What percentage of
Questions to Be Graded: Exercise 18
1. Mayland et al. (2014) do not provide the degrees of freedom (df ) in their study. Use the
degrees of freedom formulas provided at the beginning of this exercise to calculate the group df
and the error df.
Degrees of
Statistics and graphs commonly misrepresent data. Both can be manipulated to represent
what a group or individual wants to display rather than the factual statistics. Statistics and graphs
can also be misleading due to the researchers lack of knowledge. I
An interaction is the relationship among three or more variables, and it describes a situation in which
the simultaneous influence of two variables on a third is not additive. Interactions are usually found in
the context of regression analyses. When ther
Name
Date
Stefanie Bisesi
9 June 2017
Course
Section
HLT362v
EXERCISE 6
Understanding Frequencies and Percentages
1. What are the frequency and percentage of the COPD patients in the severe airflow limita tion
group who are employed in the Eckerblad et al
Name
Date
Stefanie Bisesi
14 June 2017
Course
Section
HLT362v
EXERCISE 26
Determining the Normality of a Distribution
1. Plot the frequency distribution for Age at Enrollment by hand or by using SPSS.
2. How would you characterize the skewness of the dist
Name
Date
Stefanie Bisesi
7 June 2017
Course
Section
EXERCISE 27
Calculating Descriptive Statistics
1. What is the mean age of the sample data?
Statistics
Age
N
Valid
10
Missing
0
Mean
56.50
2. What percentage of patients never used tobacco?
Tobacco
Cumul
Name
Date
Course
Section
HLT362v
EXERCISE 31
Calculating t-tests for Independent Samples
1. Do the example data meet the assumptions for the independent samples t-test? Provide a rationale
for your answer.
2. If calculating by hand, draw the frequency dis
Name
Date
27 June 2017
Course
Section
HLT362v
EXERCISE 18
Understanding Analysis of Variance (ANOVA) and Post Hoc Analyses
1. Mayland et al. (2014) do not provide the degrees of freedom (df) in their study. Use the degrees of
freedom formulas provided at
An alpha level, also called a significance level, is the probability of rejecting the null hypothesis
when it is true (Frost, 2015). 0.05 is a commonly used alpha level that suggests there is a 5%
risk of rejecting a true null hypothesis. The alpha level
Analysis of Variance is defined as a statistical method used to test differences between
two or more means (Lane, 2016). In other words, analysis of variance is a method of comparing
two or more averages. I think the best way to explain something is throu
Cluster Sampling: In this type of sampling, the chosen population is divided into sections, also
known as clusters. This could apply geographically. For example, if a survey was being done
in California, the researcher could separate the state into cities
Mean, median, and mode are all measures of central tendency. Mean is defined as the
arithmetic average of all scores of a sample (Grove & Cipher, 2017). The mean is an accurate
measure of central tendency. However, it should not be used in a population in
Simple random sampling is when members are randomly selected from a sampling frame,
which is commonly achieved using a computer (Grove & Cipher, 2017). Random sampling is
important because it is helpful in many ways. First, it is easy to assemble a group,