Exercises 11 and 16
# 11
1. The demographic variables which were considered at the interval/ratio level are length of
labor, age, return to work, annual income, and numbers of hours working per week.
2. The length of labor is explained through mean and st
The Analysis of Variance, popularly known as the ANOVA, can be used in cases where
there are more than two groups. When we have only two samples we can use the t-test to
compare the means of the samples but it might become unreliable in case of more than
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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
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Date: July 26th 2014
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
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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: July 26th 2014
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 researchers use statistical methods because those methods are more convenient and
practical to measure a sample of the population. Some methods test hypothesis by comparison.
The two of the known statistical hypothesis test are the T-test and the Z-te
Workbook Exercise # 18
1. The mean of weight relative to ideal in male is 5.48 and standard deviation is 22.93.
Mean 1.96 (Standard Deviation)
= 5.48 1.96 (22.93)
= 5.48 1.96(22.93) = 5.48 44.94 = -39.46; = 5.48 + 1.96 (22.93) = 5.48 + 44.94 =
50.42.
Scor
According to Grove (2011), Sampling is a process of selecting subjects who are
representative of the population being studied. Random sampling usually provides a sample that
is representative of a population because each member of the population is select
Name:
Date: July 12th 2014
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
An interaction effect refers to the role of a variable in an estimated model, and its effect
on the dependent variable. Basically, an interaction is when the effect of one factor (input
variable) on the dependent variable (output variable) differs among l
Alpha levels are used in hypothesis tests. The significance level is the probability of
making the wrong decision when the null hypothesis is true. In hypothesis tests, two errors are
possible, Type I errors and Type II errors. Type I error: Supporting th
Date: July 27th 2014
Exercise # 20
1. Female patient on # 3 with 63 T score is the highest preoperative Acquisition.
2. Male patient on # 4 with 23 T score is the lowest postoperative Retrieval.
3. Yes, because patient scored 44 and the average is 47.8 in
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 lie?
5.48-1.96(22.93)=-39.46
5.48+1.96(22
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
Whatarethecharacteristicsofapopulationforwhichitwouldbeappropriatetousemean/median/mode?
Whenwouldthecharacteristicsofapopulationmaketheminappropriatetouse?
According to Burns (2011), measures of central tendency frequently are referred to as
the midpoint
A sampling plan or method outlines strategies used to obtain a sample for a study. The
plan is designed to increase representativeness and decrease systematic variation or bias. The
sampling plan may use probability (random) or nonprobability (nonrandom)
Anova: Single Factor
SUMMARY
Groups
Count
Group 1
6
Group 2
23
Group 3
11
ANOVA
rce of VariationSS
Between Groups
937.9303
Within Groups
10484.47
Total
11422.4
Sum
Average Variance
625 104.1667 44.16667
2507
109 344.9091
1300 118.1818 267.5636
df
MS
F
P-v
Name:
Date: August 3rd 2014
Topic 4: ANOVA Excel Worksheet
Directions: Answer all questions and submit to instructor at the end of
Module 4
Statistical Conclusion:
The calculated F value (1.66) is less than the F Critical value (3.25) therefore the result
Date: Oct. 9, 2011
ANOVA Excel Worksheet
Directions: Answer all questions and submit to instructor at the
end of Module 4
Type your answer here: As we can see, the mean level of Group 3 (118.182) is higher than that of either Group
1 (104.167) or Group 2
1
HLT0362V
Week Three Guide
Hypothesis Testing
Hypothesis
A statement about a population developed for the purpose of testing. In statistics, a hypothesis is
an idea, an assumption, or a theory about the behavior of one or more variables in one or more
po
Date: August 10th 2014
Exercise # 23
1. The value of r is 0.149. This is not significant since p (0.424) value > (0.01).
2. The values of r show a positive correlation among the variables that means both
variables increases together. Thats why values of r
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Date:
Topic 4: ANOVA Excel Worksheet
Directions: Answer all questions and submit to instructor at the
end of Module 4
Statistical Conclusion:
The statitical conclusion is that mean systolic blood pressue levels for each group increased with
age.
The
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Date:
Topic Five: Correlation/Regression and Chi Square
Excel Worksheet
Directions: Answer all problems and submit to instructor at the end of Module 5
SYSTOLIC AND DIASTOLIC BLOOD PRESSURE OF FEMALES
The following table represents systolic and dias
Name:
Date: August 10th 2014
Topic Five: Correlation/Regression and Chi Square Excel
Worksheet
Directions: Answer all problems and submit to instructor at the end of Module 5
SYSTOLIC AND DIASTOLIC BLOOD PRESSURE OF FEMALES
The following table represents
SUMMARY OUTPUT
Regression Statistics
Multiple R 0.785369
R Square 0.616805
Adjusted R Square
0.606721
Standard Error
7.291161
Observations
40
ANOVA
df
Regression
Residual
Total
Intercept
SYS
SS
MS
F Significance F
1 3251.656 3251.656 61.16615 2.0E-009
38
Date: August 1, 2014
Exercise # 36
1. The results indicate a difference between the control and treatment groups so we will
refuse the null hypothesis because the p value is 0.005, which is < level of significance
(0.05). 9.619 is the F ratio, which is st