Methods. The Acha-National College Health Assessment Ii

Methods. The Acha-National College Health Assessment Ii
Methods
The ACHA–National College Health Assessment II (ACHA–NCHA II) is a national research survey organized by the American College Health
Association (ACHA) to assist college health service providers, health educators, counselors, and administrators in collecting data about their students '
habits, behaviors, and perceptions on the most prevalent health topics.[1]
Population and Sample Selection
Forty one Canadian postsecondary institutions self–selected to participate in the spring 2016 ACHA National College Health Assessment. A random
sample of students in each institution received email invitation to the survey.[2–4] All schools collected data via the ACHA–NCHA web survey.
Study Participants
A total of 43,780 surveys were completed ... Show more content on Helpwriting.net ...
3.Other Variables
We assess respondent's history of alcohol and marijuana use within the last 30 days.
Inclusion Criteria
For this analysis, of all the survey results we included respondents who were 18 years of age or older and self–identiп¬Ѓed as being sexually active
during the last 12 months.
Procedure
Permission for conducting the research and using the spring 2016 ACHA–NCHA dataset was granted by the School of Public Health at the University
of Saskatchewan. The project reviewed and approved by the University of Saskatchewan Research Ethics Review Board (REB). A request to obtain
Canadian data for the selected variables for this analysis was sent to the ACHA–NCHA. Information regarding the University of Saskatchewan survey
was obtained through collaboration with the Student Health Services office within the university campus.
Statistical Analysis
Of the 43,780 completed surveys, a total of 29,308 (66.9 %) were included in this analysis based on the above criteria. Descriptive statistics and
cross–tabulations were calculated to characterize demographic information and sexual and other risky behaviors. Those with missing values or "not
applicable" responses were excluded from the relevant analyses.
In order to assess the degree to which STI was associated with multiple demographic, sexual and behavioural variables, Pearson's correlation
coefп¬Ѓcients were calculated. Chi–square analyses were conducted during

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Learner Iq And Media Preference
Danielle Kearns–Sixsmith Professor Keri Heitner RES 723 University of Phoenix December 23, 2014 Learner IQ and Media Preference The purpose
of this study is to examine if a correlation exists between learners ' IQ and instructional media preference. A sample of 165 students who were high
school freshmen and sophomores, ranging in age from 14–16 years, and were enrolled in a college preparatory social studies course in a small
mid–Atlantic private school were invited to participate. The purpose of this paper is to present the data analysis of this quantitative research study.
Research questions and hypotheses The research question for this study was: What is the relationship between individuals ' IQ score and... Show more
content on Helpwriting.net ...
The alternate hypothesis was: There is a significant relationship between individuals ' IQ score rank and instructional media preference. In a
correlational study, an alternate hypothesis claims that a relationship exists between the variables (Gilbert, 2006). A relationship means that where
learners score on the Stanford–Binet Intelligence Scale is related to which medium they choose to use for instruction. Another way to write this is: Ha:
ПЃXY в‰ 0, where Ha is the symbol for the alternative hypothesis, ПЃ for the significance which will be в‰¤0.5, and XY which represents the
predictor variable, learner IQ, or X, paired with the criterion variable, or instructional media choice, or Y. For this study, the predictor variable,
learner IQ score, is interpreted as a rank, an ordinal level of measurement and the criterion variable, instructional media preference, as a nominal level
of measurement. According to Black (1999), Cramer 's C (also known as V) is an appropriate statistical measure when a single sample examines
ordinal and nominal levels of measurement. In fact, using Black 's (1999) decision table for selecting association or correlation coefficients, the
ordinal level of measurement, in this case learner IQ ranking, should be reduced to a nominal level (p.626). Descriptive statistics Univariate

Cross Sectional Research Design
This study will utilize a cross–sectional research design. Such a design observes behavior or attitudes that occur at a single point in time, while
longitudinal studies allow observations over time. This study seeks to examine why crime occurs by asking individuals if they have ever committed a
crime (point in time). In addition, it will also be utilized because it is simple and not as costly as a longitudinal design. It is not in the best interest of
the research to utilize a study that will cost a significant amount of money. Also, it is important to conduct the research in a timely manner using a
longitudinal design would take more time due to its complex nature. Therefore, a cross–sectional study has been utilized.
Ethical considerations ... Show more content on Helpwriting.net ...
No one factor may ever be able to accurately explain why crime occurs. Due to the fact that the factors that influence crime are difficult in nature to
understand. In addition, there is an extensive list of factors that may or may not influence the occurrence of crime. There has been a numerous amount
of previous research that tries to explain the influences of crime. But many conclude that more than one factor must be present to influence the
occurrence of crime.
This proposal examined several factors that may influence how much crime occurs. In order to figure out what factor has the strongest relationship
with crime occurrence. Out of all the factors, substance abuse had the strongest relationship with crime. As foretold in a previous section, 60% of
individuals that are arrested test positive for either drugs or alcohol. Also, alcohol and drugs are implicated in an estimated 80% of offenses leading to
incarceration in the United States (Wilcox, 2015). In addition, the findings of this proposal support all the hypotheses except for hypothesis 6 that states
whites will commit more crime than African Americans. There was more empirical evidence that supports the belief of African Americans committing
more crime than whites. The design of this research is again a cross–sectional study because it seeks to examine a moment

Fear of Crime: Seriousness of Crime Demographic as Control
Fear of Crime
Seriousness of Crime Demographic as Control
6321 Quantitative Analysis in Criminal Justice
Introduction
The purpose of this paper is to explore the variables associated with the fear of crime and how serious can crime would be estimate. There are three
factors that will be examined in this research. The first is that people have fear of crime by age, martial statues and education. This paper will attempt
to explain these variances through literature review. The author of this paper will analyze the data from all three factors that explain the fear of crime
and the seriousness. This paper will attempt to explain the seriousness of crime and the seriousness across the variables included. The three control
variables that will be used are: Age of fear of crime, marital statues, and education dichotomy. The data indicates that the hypothesis is that when these
three variables are included difference are among age and education when fear of crime increase.
Literature Review There are several ways that fear of crime has a relationship with violence. In many communities have experience higher fear of
crime levels? Franklin (2009) in his current research he tested the vulnerability of female and male to indicated if fear of crime was increase by age.
In his finding this facts are significant since there is a higher level among age for males while females tend to reduce fear. Age also plays a big role
when fear of crime is concern in the communities.

Economic And Social Decay Of Detroit
Answer to question 1: As given, it is well–known that Detroit has gone through decades of economic and social decay and has one of the highest
crime rates in the country. Meanwhile, Boston is home to some of the top universities and medical schools in the world and has one of the lowest
crime rates. In order to investigate the above information, three socio economic characteristics have been chosen here. They are median household
income, per capita income and individual below poverty line. When it comes, to assess the median household income, it is noted that median
household income indicates the average level of income per household. This also explores that there are equal number of households that stay above
this line and equal number of households that stay below this line. As shown in the appendices, the median household income for Boston remains far
above that in Detroit. Therefore, it can be said that people that stay in Detroit are comparatively poorer, which enhance the crime rate. Again, per
capita income of individuals can be defined as the total income of the city divided by its population. Therefore, a low per capita income indicates that
there are either low income level or the volume of population is high. Now, both the low income level as well as high population directly related with
crime rate. This is the reason, why in Detroit, the crime rate is comparatively higher than in Boston. It is known that there is a positive relationship
between the social

Do You Believe In Medieval Science Fiction Or Pseudoscience?
In Medieval science lab, everything was about what people believed was not always right by science. Many historical movements such as alchemic
rituals performed by old scientist, crude surgeries performed by plague doctors and many of the other cases were considered primitive, which was
against what we believe because of science today. However, some of these primitive sciences, called "pseudoscience" (Molumby and Murray, 2007,
p.28), have persisted the scientific method, in other words people still believe in false happenings in society even though they are scientifically
wrong. Looking at Internet and magazines a person can always find some information that they can say whatever they think is right. These ideas can
be stories and such things like horoscope, which we had lab on. Horoscope is basically a kind of belief that people must obey in order ... Show more
So the numbers we got was not different from what we expected. Since we accepted hypothesis there were no errors in the lab that affected results.
Which proves our point that horoscopes cannot predict anyone's life. Also it was noticed that some people got higher correct answers but that does not
say that they are psychic. Nick Allum tested an experiment which was to study Europeans believing in Astrology. He had three basic hypothesis which
were they don't have enough education in science to differentiate pseudoscience to science, confused about astrology, and people with authoritarian
values believe in astrology. He tested it and it came out that "all three of his hypotheses are most likely true" (Allum, 2011, p. 361–363). This
experiment tells us that horoscopes aren't really believable. There weren't errors with our data but one little error would be if a group didn't get what
the journal entry was saying they would have just guessed a later cause they were really annoyed by it. This error wouldn't do major damage to our
data but it might have done

California Interview Survey
Methods
Study Population This research study analyzes the publically available data from California Health Interview Survey (CHIS) 2011–2012 dataset. CHIS
is the largest and most comprehensive state–based health survey in the United States. It is a population–based telephone survey of California's
population. CHIS is conducted by the UCLA Center for Health Policy Research (UCLA–CHPR) in collaboration with the California Department of
Public Health, the Department of Health Care Services, First 5 California, The California Endowment, the National Cancer Institute, and Kaiser
Permanente (UCLA–CHPR, 2013). CHIS data and results are used extensively by federal and State agencies, local public health agencies and
organizations, advocacy and ... Show more content on Helpwriting.net ...
SAS University Edition English Version (Cary, NC, USA) was used for statistical analysis and data management. All analyses excluded
– refused,
inapplicable, don't know, and missing values. The outcome variable "asthma episodes/asthma attacks" (AB41) was categorized in to three levels: (–1)
"inapplicable" (1) "yes" and (2) "no". This variable was renamed "ABSH" with two categories (1) "yes" and (2) "no". The predictor variable was
"current smoker" (SMKCUR) and was categorized in to two levels: (1) "current smoker", (2) "not current

A Survey Study On How Survey Studies Affects The...
Introduction
One of the primary obstacles in survey studies is often eliciting responses from surveyed individuals. As we have seen throughout this semester,
larger sample sizes are beneficial to statistical analyses, as increasing the sample size can increase the power of a hypothesis test, reduce the sampling
variability in a sample, and meet the baseline number of collected 'observations' that are needed to perform specific analyses. This is not to say that
larger sample sizes are unequivocally better; a truly random, yet representative sample is more important. If one already has a large, randomly collected
and representative sample, increasing the sample size will not improve the analysis. Our study focuses on how survey topic ... Show more content on
Helpwriting.net ...
Survey topics will rotate between control, controversial, and neutral during times of data collection.
Methods
Who: We surveyed Vassar students sitting alone at tables at the Retreat, and Vassar students as they entered and exited the All Campus Dining Center
(Deece). We believe that by surveying individuals from the Retreat and the Deece, we achieved a truly random sample with respect to our research
question. In other words, we do not think that the choice to eat at the Deece or Retreat directly affects willingness to take a survey.
What: The response rate (Yes/No) to short, anonymous surveys offered on a control, controversial and neutral topic.
Where: The Retreat and Deece. These areas are well trafficked by most of the Vassar student population, and we believe that individuals surveyed here
are representative of Vassar's student body with respect to our research question.
When: November 11 and 12 (between 2PM and 4PM)
Why: We are interested in determining if the survey topic (neutral vs. controversial) affects the number of Vassar students that are willing to participate
in that survey.
How: (see methodology for additional information) We went to The Retreat on November 11 for one hour and asked students sitting alone at tables if

they wished to participate in a short, anonymous survey. Survey topics for the control (no topic), neutral (milk preference), and controversial (abortion
rights) were rotated per student

American National Election Studies : Race, Political Party...
Introduction This study was done with a subsection of data from American National Election Studies (ANES), which included adults that were
sampled across the nation. Their responses to the questions were randomly chosen. Multiple analyses were ran on the categorical demographics
given: race, political party and gender. We are running all of these tests below to find out if symbolic racism and fondness of Obama are related.
There were 191 females and 159 males, for a total of 350 participants. Subjects were represented by 40.9% Democratic party, 20.6 Republican Party
and 31.1% Independent party. The participants were broken down into four ethnic groups: 28.0% African American, 56.9% White, 2.0% multiple races,
and 12.9% other. Subjects answered questions related to their preference on Obama on a scale from 0–10, 0 being strongly dislike and 10 being
strongly like (M = 5.47, SD = 2.78) and questions pertaining to symbolic racism on a scale from 1–5, 1 being strongly agree and 5 being strongly
disagree (M = 3.31, SD = .98), these two variables are considered continuous. The questionnaire was reliable at a Cronach's Alpha level of .72. Which
indicates that is has relatively high internal consistency, which is a measure of how well the items on the test measure the same construct or idea.
Considering we have high internal consistency it is safer to assume we can trust that our overall test is measuring the concept of interest. Methods and
Results Analysis of Variance

Applied Statistics in Business and Economics, by Doane and...
Prepare answers to the following assignments from the e–text, _Applied Statistics in Business and Economics_, by Doane and Seward: Chapter 15 –
Chapter Exercises 15.18, 15.22, 15.24, and 15.28 15.18 SIXTY–FOUR STUDENTS IN AN INTRODUCTORY COLLEGE ECONOMICS CLASS
WERE ASKED HOW MANY CREDITS THEY HAD EARNED IN COLLEGE, AND HOW CERTAIN THEY WERE ABOUT THEIR CHOICE OF
MAJOR. RESEARCH QUESTION: AT О‘ = .01, IS THE DEGREE OF CERTAINTY INDEPENDENT OF CREDITS EARNED? CREDITS
EARNED VERY UNCERTAIN SOMEWHAT CERTAIN VERY CERTAIN ROW TOTAL 0
–9 12 8 3 23 10–59 8 4 10 22 60 OR MORE 1 7 11 19
COL TOTAL 21 19 24 64 H0: The two factors are independent HA: There is a relationship between the two factors. Level of Significance: п
ЃЎ = 1%
Decision... Show more content on Helpwriting.net ...
15.24 HIGH LEVELS OF COCKPIT NOISE IN AN AIRCRAFT CAN DAMAGE THE HEARING OF PILOTS WHO ARE EXPOSED TO THIS
HAZARD FOR MANY HOURS. A BOEING 727 CO–PILOT COLLECTED 61 NOISE OBSERVATIONS USING A HANDHELD SOUND METER.
NOISE LEVEL IS DEFINED AS "LOW" (UNDER 88 DECIBELS), "MEDIUM" (88 TO 91 DECIBELS), OR "HIGH" (92 DECIBELS OR MORE).
THERE ARE THREE FLIGHT PHASES (CLIMB, CRUISE, DESCENT). RESEARCH QUESTION: AT О‘ = .05, IS THE COCKPIT NOISE LEVEL
INDEPENDENT OF FLIGHT PHASE? (DATA ARE FROM CAPT. ROBERT E. HARTL, RETIRED.) NOISE LEVEL CLIMB CRUISE DESCENT
ROW TOTAL LOW 6 2 6 14 MEDIUM 18 3 8 29 HIGH 1 3 14 18 COL TOTAL 25 8 28 61 H0 = The noise level is independent of the phase of flight
H1 = The noise level is dependent on the phase of flight Recorded Values: Climb Cruise Descent Total Low 6 2 6 14 Medium 18 3 8 29 High 1 3 14
18 Total 25 8 28 61 Expected values: [Example: Expected value for the Low–Climb category is calculated as (Low Total * Climb Total / Grand Total) =
(14 * 25)/61 = 5.74] Climb Cruise Descent Low 5.74 1.84 6.43 Medium 11.89 3.80 13.31 High 7.38 2.36 8.26 Chi Squares Table: Recorded Value (R)
Expected Value (E) (R– E)^2 (R – E)^2 /E 6 5.74 0.069 0.012 18 11.89 37.390 3.146 1 7.38 40.667 5.513 2 1.84 0.0269 0.015 3 3.80 0.645 0.170 3
2.36 0.409 0.173 6 6.43

A Research Study On Ethics
Ethics, deriving from the Greek ethos meaning character (Jennings, 2010), are the "moral principles that govern a person's behaviour or the conducting
of an activity" (Oxford Dictionary, 2015b) and establish the foundation of present–day research (Cropley, 2008; Flick, 2006). They are the "norms of
conduct that distinguish between acceptable and unacceptable behaviour" (Resnik, 2011) and establish the values essential for the collaborative work
between the researcher and the research subject (Jennings, 2010; Veal, 2006). The research at hand is therefore in accordance with the ethical
principles as specified by Jennings (2010) and Veal (2006). This includes the free choice of participation in the research, the confidential usage of
sensitive data received from respondents and the avoidance of harm to participants (Jennings, 2010). Besides, before the completion of the
questionnaire all potential participants were informed about the purpose of the research and how the data will be used. All research subjects
participated in the questionnaire survey on a voluntary basis and gave their consent for the usage of their data provided.
4.6Analytical Methods
Data was analysed with SPSS Statistics 20 and Mplus Software Version 7.11 by performing descriptive and inferential statistics. In order to get an
impression of the characteristics of the sample mean, standard deviation, Skewness and Kurtosis were determined. Descriptive analysis was conducted
for all demographic information

Evaluation of Stress Management for Higher Secondary...
EVALUATION OF STRESS MANAGEMENT FOR HIGHER SECONDARY
STUDENTS IN SALEM DISTRICT–TAMIL NADU
1 Introduction
Stress is the body's General response to any intense physical, emotional or mental demand placed on it by on self or others. Anything can be stressor if
it last long enough is perceived as stress. Stress is any situation that evokes negative thoughts and feelings in a person. Being a student can be the
most interesting time of one's life. New friends, new places, new challenges can make a student life stress full. Most students will feel the effect of
stress at some point in their studies and a small number of students may feel stressed or depressed for most of the time. Financial worries, dept, exam
pressure, burden of course work and relationship problem create lot of pressure on students.
Stress management encompasses techniques to equip a person with effective coping mechanisms for dealing with physiological stress. Stress
management involves techniques include self management, conflict resolution, positive attitude, self talk, breathing, meditation, exercise, diet and rest.
Effective stress management involves learning to set limits for the issues that create stress. The project make and attempt to study whether the students
perceiving higher secondary education in Salem district are subject to stress and to what extent they are affected by stress full events occurring during
important part of their life.
Review of literature
A critical issue concerning stress

IB Math Studies Chi Square IA Essay
Predictability of Social Media Usage to Grade Averages
IB Math Studies
Spring 2013
Table of Contents:
Introduction/Purpose.......................................................................p.3
Data Collection Method....................................................................p. 3 – 4
Data Analysis: Chi–Squared Statistic
Frequency Table..................................................................p. 4– 5 Contingency Table................................................................p. 5 – 6
Chi – Squared Statistic............................................................p. 7
Degrees of Freedom...............................................................p. 7
Critical Value.......................................................................p. 7– 8
Conclusion..................................................................................p. 9 – 10
Introduction/Purpose Predictability is the degree to which a correct prediction or forecast of a system's state ... Show more content on Helpwriting.net ...
For example, for the first calculation in this table, I used the information from the frequency table, 15.48, and I inserted that into the first block of the
table.

A
93–100
B
85–92
C
77–84
D
70–76
F
Below 70
Total
Less than 1 hour
36
1 – 2 hours
66
2 – 3 hours 66
3+
hours
32
Total
86
49
37
19
9
200
Next, I stated the null (H0) and the alternative (H1) hypothesis for this data. Hypothesis testing involves the careful construction of two statements: the
null and alternative. The null hypothesis holds that there will be no observed effect in our experiment. The alternative or experimental hypothesis holds
that there will be an observed effect for our experiment. The following hypotheses are formulated below:

H0: Grade averages are independent on time spent daily on social media websites.
HI: Grade averages are dependent on time spent daily on social media websites.
Chi – Square Statistic:
Chi – Square is a

Chi-Square And One T-Test Model Essay
Select one chi–square and one t–test model, identifying the dependent and independent variable for each. Determine the significance of the models.
The chi–square can be used to assess whether two variables are independent or not. Thus, if variable Y is not correlated with or independent of the
variable X if more of one is not associated with more of another. Thus, if two categorical variables are correlated, their values tend to move together,
either in the same direction or in the opposite.
In the article, there was comparison to those students whose parents attended college, first generation students are different in various ways. An
observed frequency was that, they are less well prepared academically and psychologically for college (Inman & Mayes, 1999). They normally have
lower high school GPAs, and have not been part of honors programs, but they are usually aware of their academic problems.
First generation college students were also associated with facing a variety of ... Show more content on Helpwriting.net ...
According to the data, suggestion was that the community college is the primary or only postsecondary opportunity for many students, supporting the
hypothesis that first generation represent an important part of the community college population (Inman & Mayes, 1999). Also, some researchers
found that the first's generation commitment to the college they were attending was even stronger. They were likely to have plans of continuing at the
college till they achieved academic goals.
Additionally, firsts were likely to report of being unsure or would attend only one or two semester, thus, more firsts than the non–firsts said they would
continue with college until they reached their academic goals. Firsts reported they were planning to stay in college until they earned a two year degree.
However, both first and non–firsts students reported they would earn a two year degree and

The Primary Obstacles Of Survey Studies
One of the primary obstacles in survey studies is often eliciting responses from surveyed individuals. As we have seen throughout this semester,
larger sample sizes are beneficial to statistical analyses, as increasing the sample size can increase the power of a hypothesis test, reduce the sampling
variability in a sample, and meet the baseline number of collected 'observations' that are needed to perform specific analyses. This is not to say that
larger sample sizes are unequivocally better; a truly random, yet representative sample is more important. If one already has a large, randomly collected
and representative sample, increasing the sample size will not improve the analysis. Our study focuses on how survey topic affects the ... Show more
Survey topics will rotate between control, controversial, and neutral during times of data collection.
Methods
Who: We surveyed Vassar students sitting alone at tables at the Retreat, and Vassar students as they entered and exited the Deece. We believe that by
surveying individuals from the Retreat and the Deece, we achieved a truly random sample with respect to our research question. In other words, we do
not think that the choice to eat at the Deece or Retreat directly affects willingness to take a survey.
What: The response rate (Yes/No) to short anonymous surveys offered on control, controversial and neutral topics.
Where: The Retreat and Deece. These areas are well trafficked by most of the Vassar student population, and we believe that individuals surveyed here
are representative of Vassar student body with respect to our research question.
When: November 11 and 12 (between 2PM and 4PM)
Why: We are interested in determining if survey topic (neutral vs. controversial) affects the number of Vassar students that are willing to participate in
that survey.
How: (see methodology for additional information) We went to The Retreat on November 11 for one hour and asked students sitting alone at tables if
they wished to participate in a short anonymous survey. Survey topics for the control (no topic), neutral (milk preference), and controversial (abortion
rights) were rotated per student asked. If students said yes, we gave them a short 'dummy'

Analysis of Consumers' Perceptions About Engro's Omung Lassi
| Consumer perceptions about Engro's "Omung Lassi" | A RESEARCH REPORT| CONDUCTED FOR COURSE: Methods in Business Research
SECTION: C FACULTY: Ms. Saadiyeh Said RESEARCH CONDUCTED BY: Muhammad Taha Kalam 11388 Shahroz Ali 13112 Qazi Muhammad
Zulqarnain–ul–Haq 12115 Syed Aabir Haider 10572 Muhammad Haris Ali 11241 | Letter of Transmittal To ;Ms. Saadiyeh Said Course Instructor ;
Methods in Business Research Section C Institute of Business Management (IoBM) This document is a report that contains a research about Engro
Foods' venture Omung Lassi about which perceptions of consumers were found out in order to ascertain that what Engro Foods can do in order to
make this product Omung Lassi a success after its initial launch did... Show more content on Helpwriting.net ...
The research undertaken by us is aimed at identifying consumers' attitude towards the presentation of a traditional product as a convenient product.
That is whether they really want the product in tetra pack or not. The research will also highlight the reasons behind consumers' consumption of
Lassi and what made them consume or not consume Omung Lassi. This product does not have any competitors other than the traditional home made
lassi and the ones sold at milk shops. The research will unveil the consumers liking for the source of obtaining this product from. And also the extent
to which they prefer convenience while considering consumption. Methodology The descriptive research was undertaken to test our objective of
identifying the consumer perception about the product. A sample of 100 people was chosen; the age of the unit of analyses ranged from 17 to 25
years. People included in the sample were Lassi consumers. A self administered questionnaire was distributed among the sample and the data was
eventually gathered. However due to some errors on the part of respondents almost 19% of the questionnaires had to be discarded and this reduced
our sample from 100 to 81 units. SPSS was used to analyze the data. Initially the entire questionnaire was analyzed as a whole, however later for more
in–depth analyses the collected data was split into individuals who had "tried Omung Lassi" and

What Is Discriminant Predentities?
Discriminant validity shows the distinctiveness of a construct compared to the others (Carmines and Zeller 1979). It is verified using the cross loadings
and Fornell–Larcker criterion. The table shows that the loadings of the items corresponding to one construct is greater than the loadings on the other
constructs. According to Fornell–Larcker(1981) criterion the pairwise correlations among the constructs is to be compared with the Averagevariance
extracted. If the square root of AVE (depicted along the diagonal) for each construct is significantly higher than the cross
–correlations shown along the
off diagonal in the following table 5.6.
The Chi–square results of respondents opinion on reaction constructs based on gender is shown in ... Show more content on Helpwriting.net ...
The results of the Chi–square tests between other demographic variables and the responses on the constructs is included in Appendix 3. Age is a
significant predictor of continuing distance learning (Mungania 2003). The chi–square test of association between the age of the respondents and the
variables of this study resulted that age is a significant factor influencing the success dimensions of e–learning. This outcome is in consonance with the
One–way ANOVA results between age and the effectiveness of e
–learning in the effect of demographic research conducted by Islam, 2011.
Convergent validity tests if constructs that are theoretically related are in fact related. It is indicated by variance extracted for each factor(Fornell and
Larcker1981). AVE > 0.5, which means that the construct explains at least 50 percent of the variance of its observed variables. The AVE values for
all the constructs ranges from 0.720 to 0.890, which is well above the threshold limit of 0.5, thereby confirming the convergent validity. The path
coefficient of 0.627 depicts a strong positive relationship between Learning achievement and Learning Transfer. The path is significant with T = 9.148.
The desired outcome of a training is the transference of learning to the job which is channeled through the learning performance (Lim et al 2007).
Many research studies have proven that the transfer of knowledge onto the daily routines is directly affected by

Chi Square Test Paper
After two weeks of observation the qualitative results showed that for both Clover and Radish an estimate of three out of for seeds germinated. There
was also no noticeable difference in length between the two types of plants. When using the Urea treatment the results showed that in both plants
almost all the seeds germinated and both plants grew to the top of the ParafilmTM. When treating with Rhizobium spp. results show that there was a
decrease in germinating seeds compared to all other treatments. Results also showed that in radish when treating nodules were present. The average
growth of both Trifulium spp. (Figure 1) and Raphanus spp. (Figure 2) were calculated for each treatment. Results show that the Rhizobium spp.
promoted the most... Show more content on Helpwriting.net ...
The results showed There was a preference in treatment on the species Trifulium spp. (П‡2 = 205.20; p = 2.19x10–42; df = 2). The same result was
observed for the species Raphanus spp. (X2=497.80;p=4.50x10–139;df=2) An analysis of variances was performed on the data in order to identify
where was the significant variation on the respective shoot lengths of both species. Results showed that there was no significant variance in neither of
the species between the shoot's length and the treatments used. (Table 2) The same analysis was also done for the root's length of both species. Results
demonstrated that there was at least one significant difference between the three treatments and root's length in both types of plants. It was found in
clover root's length that a comparison of the control group and Rhizobium treatment on clover root's length were no significant different from each
other (Tukey HSD: p>0.05). There was a significant difference when comparing all other types of techniques used (Tukey HSD: p<0.05). In radish
root's lengths the results showed that there was a significant difference when comparing the Urea technique against the Control group (Tukey HSD:
p<0.05). There was no significant difference on the other two comparisons (Tukey HSD:

Chi-Square Test Of Independence
A Chi–square test of independence was calculated comparing the purpose of going to school in boys and girls. A significant interaction was not
found (П‡2 (2, N = 478) = 21.45, p < .001, О¦Cramer = .21). The difference between boys (35.5) and girls (64.5) was significant on the selection of goal
to be popular. Likewise, the difference between selections of goals was significant between girls (33.3) and boys (66.7) on the option of being good
in sports. The results of the study show that the goal of girls and boys when they are going to school, is different. The number of the girls who come to
school to get good grades is 130 and the number of boys who come to school for the same purpose is 117. The difference was

Using Independent T Test And Chi Square Test Essay
The study employed independent t–test and chi–square test to make a comparison (to make sure the presence or absence of difference) between the
participant and non–participant households. The mean values of continuous variables in the two categories were compared using independent t–test.
The result of independent t–test pointed out the presence of a significant mean difference between the two categories in terms of age of household
head, total household income, frequency of extension contact and distance to market. The result indicated that the mean age of participant households
(44.73 years) was less than the non–participant households (48.59 years). The study also showed that those farmers who were participating in off–farm
and non–farm activities had relatively better mean total income than non–participants. The mean value of total household income earned by those
farmers who were engaged in off–farm and non–farm employment opportunities was Birr 17103.55, while it was birr 7628.77 for non–participant
households. Furthermore, it also indicated that those households who were engaged in off–farm and non–farm employment income generating
activities had less frequency of extension contact than those households who were not participants in off–farm and non–farm activities. The mean
value of extension contact received by participant households was 12.35 contacts, while it was 17.38 for the non–participant household. Moreover, the
finding of the study showed that the mean

Fast Plants
Fast Plants and Mendel's Theories of Inheritance
Abstract
The "Brassica rapa" is a fast plant known as the field mustard. This plant is well known for its rapid growing rate, which makes it an easy breeding
cycle and easy to pollinate. In giving so this makes "Brassica rapa" a great participant for testing Gregor Mendel's theories of inheritance. The "Brassica
rapa" acts like a test subject in testing cross–pollination giving the understanding to the dominant allele of colored stems. There are different colors
that are visible on the stem that are above the soil; the colors vary from green to purple. P1 seed was ordered, germinated and cross–pollinated until
germination of the next off spring of plants were also done. It was ... Show more content on Helpwriting.net ...
Add three seeds to the potting mix and cover seeds with little remaining potting mix. After the addition of the potting mix, use a dropper filled with
water and water each cell until water drips from the wick. Then place the quads on a watering tray under the fluorescent light bank. Each cell should
have an equal distance from the light bank. Quads should be three inches below the fluorescent light; the light should also be left on all day. Make
sure all wicks are in contact with the mat that sits on the watering tray. Also watch out for the watering system regularly throughout the experiment.
After four to five days record plants in the quads, giving their phenotypes in a table for each cell removed all but the strongest plant. At about day 14,
two or three flowers open on most plants in which one begins pollinating as followed. Simply use a small fine tipped paintbrush and cross–pollinate all
four plants with each other. Repeat the same step, in four days going. After the third pollination carefully remove all unopened buds by pinching
them. Take away all new buds for the next two weeks or as necessary. Seeds are now ready to harvest after about 21 days after pollination. Carry the
quads with plants away from the watering try while letting them dry for five days. Remove dried seedpods from the quads and roll them between
your fingers to free the seeds from the pod. Count and store seeds in an envelope, labeled with your name and

The Field Of Statistics : Karl Pearson
The field of statistics is a standout amongst the most ordinarily utilized numerical fields as a part of ordinary life and is available in games, media,
and business organizations. The world depends on insights to assemble essential data and to precisely anticipate data for different imperative purposes.
Nonetheless, the field of statistics is not as ancient as society may think it to be. It was initiated in the mid Twentieth Century with the establishing of
the primary statistics departments on the planet. Karl Pearson, the admirable mathematician, is known by multiple people as the "father" of modern
statistics, a eugenist, publisher of books in the mathematic, science and philosophy field. Karl Pearson 's contributions to the ... Show more content on
Helpwriting.net ...
While at the University College London, Pearson developed his original interest in statistics by teaching graphical methods. In 1911, at the University
College London, he found the first Department of Applied Statistics, co–founded the Eugenics Department and created biometrics ("Karl Pearson
(1857–1936): Mathematician, Biometrician and Eugenicist."). In the summer of 1885, Pearson founded The Men and Women Club, which he
created for equality in society. This is also where he met his wife Maria Sharpe, which he married in 1890 and had three children together ("History
Workshop Journal."). Later in 1892, he published a book The Grammar of Science. In this book he conferred that the scientific method was not
explanatory, it was descriptive. The same argument was then made about statistics, in relation to the importance of quantification for medicine, biology
and social science. Pearson then became extremely steadfast to the advancement of a mathematical theory of evolution, which also led to him being a
supporter for eugenics ("Department of Statistical Science."). Pearson then retired in 1933, he continued to study and write until his death on April
27, 1936 ("Karl Pearson. Pearson Biography"). The world of modern statistics would not be the same today if it weren 't for Pearson. Pearson was
involved in measuring correlations and fitting curves into data. This led him to create the correlation coefficient. This answers the question, "how well
does

Normal Distribution and Obj
Chapter 13: Chi–Square Applications SHORT ANSWER 1.When samples of size n are drawn from a normal population, the chi
–square distribution is
the sampling distribution of = ____________________, where s2 and are the sample and population variances, respectively. ANS:PTS:1OBJ:Section
13.2 2.Find the chi–square value for each of the right–tail areas below, given that the degrees of freedom are 7: A) 0.95 ____________________ B)
0.01 ____________________ C) 0.025 ____________________ D) 0.05 ____________________ ANS:2.167; 18.475; 16.013; 14.067
PTS:1OBJ:Section 13.2 3.Find the chi–square value for each of the four degrees of freedom below, given that the area to the left of a chi–square value
is 0.05. A) 2... Show more content on Helpwriting.net ...
NARREND 10.At the 0.05 significance level, what is the appropriate table value? ANS:Critical ValueпЂ пЃЈ2(0.05, 3) = 7.815 PTS:1OBJ:Section 13.3
11.What is the conclusion? ANS:Do not reject H0; there is no evidence to suggest the present accommodation is different from the national one.
PTS:1OBJ:Section 13.3 12.Assuming that there is only one category with an expected frequency less than five, what is the appropriate table value for
the 0.05 significance level? ANS:Critical ValueпЂ пЃЈ2(0.05, 4) = 9.488 PTS:1OBJ:Section 13.3 NARRBEGIN: Number of sales A salesperson makes
five calls per day. A sample of 200 days gives the frequencies of sales volumes listed below NARREND 13.Assume the population is a binomial
distribution with a probability of purchase equal to 0.50. Compute the expected frequencies (Ej) for the number of sales by using the binomial tables.
Combine if necessary to satisfy the rules of five. ANS:x Oj p(x) Ej 0 10 .0313 6.26 1 38 .1562 31.24 2 69 .3125 62.50 3 63 .3125 62.50 4 18 .1562
31.24 5 2 .0313 6.26 TOTAL 200 1.00 200 PTS:1OBJ:Section 13.3 14.Should the assumption of a binomial distribution with a probability of purchase
equal to 0.50 be rejected at the 5% significance level? Hypotheses: ____________________ Test statistic = ____________________ Critical Value =
____________________ Conclusion: ____________________________

A Chi-Square Test Of Wholeness-Of-Fit
Results
A Chi–Square test of goodness–of–fit was preformed to determine if all personnel are evenly distributed across living blocks. The results showed
non–significant data, therefore, all personnel were equally distributed in the population, X2 (3, n = 340) = 4.54, p = .209.
A Chi–Square test of goodness–of–fit was preformed to check the distribution of individuals across all skills sets. The results showed significant data,
therefore, all personnel were not equally distributed in the population, X2 (5, n = 340) = 12.5, p = .029.
A Chi–Square test of goodness–of–fit was preformed to check if managers hired an equal distribution of personnel of all races. The test indicated
managers hired significantly more humans than all other races, ... Show more content on Helpwriting.net ...
Alien–racial individuals were underrepresented in the Command and Security function. Also noted is the relationship between living assignments and
race. Observed was a significant difference, where the alien–race of, Ferengi was not represented in any other living block but C. Nonetheless,
partitioning non–significant cells into others can solve this problem of uneven distrubution and create a stronger relationship.
Furthermore, limitations were noted that there was more human race than alien race, which can lead to the uneven distrubution amongst all. As well as
the limtation of segreation when it comes to living assingments and skills. Potential data can be partitioned for better interpretation of analysis. Results
indicated more than often significant data, which indicates uneven distrubution. Future data can potential eliminate outliers and partition in the data set
for effortless

The Data Collection And Sample Size During The Early...
A researcher must think about the data collection and sample size in the early stages of the research process because it will affect the way the
researcher analyzes the data. There are two main reasons a researcher should do it in the early stages. The first one is that the researcher cannot
apply just any technique to any variable. The other one is the size and nature of your sample are likely to impose limitations on the kinds of
techniques you can use (Bryman 2008). The female researcher wants to apply old research conducted that she read in an article and see if it applies
to involvement in leisure clubs and gyms. She handled the unanswered questions by programing the software to account for the 'missing data.'
Techniques of data analysis are applicable to some types of variable and not others you need to know the difference between interval/ratio, ordinal,
nominal, and dichotomous variables. According to Bryman, the interval variables are, "the distance between the categories that are identical across
the range of categories." Ordinal variables are variables that can be rank ordered, but the distances between the categories are not equal across the
range. Next are nominal variables, which are comprise categories that cannot be rank ordered. Finally, dichotomous variables, they are variables that
contain data that have only two categories. Univariate analysis refers to the analysis of one variable at a time. A frequency tables provides numbers
and percentages that

Assignment : Analyze A Chi-Square Test
NORTHCENTRAL UNIVERSITY
ASSIGNMENT COVER SHEET
Student: Scott Leonard Burgess
THIS FORM MUST BE COMPLETELY FILLED IN
Follow these procedures: If requested by your instructor, please include an assignment cover sheet. This will become the first page of your assignment.
In addition, your assignment header should include your last name, first initial, course code, dash, and assignment number. This should be left justified,
with the page number right justified. For example:
Save a copy of your assignments: You may need to re–submit an assignment at your instructor's request. Make sure you save your files in accessible
location.
Academic integrity: All work submitted in each course must be your own original work. This includes all assignments, exams, term papers, and other
projects required by your instructor. Knowingly submitting another person's work as your own, without properly citing the source of the work, is
considered plagiarism. This will result in an unsatisfactory grade for the work submitted or for the entire course. It may also result in academic
dismissal from the University.
EDR8201
Dr. Watts/Dr. Barnhart
Statistics I
Week 7 – Assignment: Analyze aChi–Square Test
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Week 7–Assignment: Analyze a Chi–Square Test (10 Points)
Download the EDR–8201 Week 7 Worksheet found in this week's resources and use it

Nt1310 Unit 2 Research Methods
Research Methods
Data
For this section of the research, it will be performed by using secondary data analysis with longitudinal design and quantitative data. For the
secondary data analysis, it will be using the National Longitudinal Survey of Youth 1979 from the U.S Bureau of Labor statistics. Since this study
focuses on secondary data, the sampling procedures provided by the original data collectors was that in the NLSY79 they have collected data from
families who had their children between the 1980's from the year 2012. The assessment of the Survey is called HOME (Home Observation
Measurement of the Environment) which is the primary measure of the quality of a child's home environment that is included in the NLSY79 child
survey (The Bureau ... Show more content on Helpwriting.net ...
Children who were spanked by their mothers, were accepted to college by a percentage of 27.5%. Additionally, children who were not spanked by
their mothers received a higher percentage of children who were not spanked by 72.5%, which makes a difference between both variables (Table 6).
The significance among being accepted to college and being spanked as a child is that there is a significance between both relationships. In addition by
having a Pearson chi–square value of .528a, with two degrees of freedom, and an asymptotic significance of .768. According to the Cramer's V, it had
a value of .048, which gives a weak relationship of both

Nurses ' Preparedness For Women Exposed With Intimate...
Summary In this article, the authors discuss nurses' preparedness to identify and provide nursing care to women exposed to intimate partner violence.
This was a quantitative experimental study that involved a questionnaire that measured nurses' preparedness when encountering with women exposed
to IPV. The questionnaire was designed to identify them as thenurse and the interventions the nurses would provide to the women. Of 174 primary
health care centers, 40 were randomly selected to participate in the study, and only one declined to participate. The nurses in each PHCC were
contacted by telephone and received verbal and written information about the study. The data was analyzed using statistical software, STATA, and
Pearson's chi–square test was used to test the statistical significance of the findings. Questionnaires were distributed to 277 nurses and the response rate
was 69.3%.
Critical Analysis Eva M Sundborg, Nouha Saleh–Stattin, Per WГ¤ndell and Lena TГ¶rnkvist were the authors of this article; however, the credentials
of the authors and researchers are not stated in the article. The title of the article contained both the study population, which is nurses, and the key
variable, which is the preparedness to care for women exposed to intimate partner violence. The abstract summarized the main features of the report.
The abstract discussed that the researchers wanted to assess how prepared the nurses were to identify IPV in women exposed and provide nursing care
for

The Relationship Between Playing Musical Instruments And...
Over the years various researchers have raised concern about the relationship between playing musical instruments and performance in math.
Performing well in math is a significant requirement in passing an examination. For this reason, extensive research has been conducted on some of how
students can improve their performance in math. According to Cindy Zhan, playing music instruments engages the right hemisphere of the brain. On
the other hand, tackling math problems involves the left hemisphere of the brain. Playing musical instruments thus creates a correlation between the two
brain hemispheres and increases the brain thinking capacity. My prediction is that playing musical instruments greatly increases a student's
performance in math. The main purpose of this investigation is to determine whether there is a relationship between playing musical instruments and
increased performance in math. Data that will be collected include the math grades (American Grading System) of students playing musical
instruments as well as for those who do not. The math scores will be used to determine how high students scored an overall grade in math and how
good they are in playing musical instruments. The data which will be used will take the average score for 100 or more students both who play the
instruments and those who do not. I will investigate the relationship between math scores and play various musical instruments. I will collect data on
the math scores of students playing

Advantages Of Principle Component Analysis
3.4. Principle Component Analysis (PCA)
Principle component analysis, also referred to as eigenvector transformation, Hotelling transformation and Karhunen Loeve transformation in remote
sensing, is a multivariate technique [66] that is used to decrease dataset dimensionality. In this technique, the original remote sensing dataset, which is a
correlated variable, is distorted into a simpler dataset for analysis. This permits the dataset to be uncorrelated variables representing the most significant
information from the novel [21]. The computation of the variance covariance matrix (C) of multiband images is expressed as: Where M and X are the
multiband image mean and individual pixel value vectors respectively, and n is the number of pixels.
In change detection, there are two ways to relate PCA. The first method is counting two image dates to a single file, and the second methods is
subtracting the second image date from the corresponding image of the first date after performing PCA individually. The disadvantages of PCA can...
Show more content on Helpwriting.net ...
For example, Baronti, Carla [39] concerned PCA to examine the changes occurring in multi–temporal polarimetric synthetic aperture radar (SAR)
images. They used association instead of a covariance matrix in the transformation to condense gain variations that are introduced by the imaging
system and that provide weight to each polarization. In another example, Liu, Nishiyama [49] evaluated four techniques, including image differencing,
image ratioing, image regression and PCA, from a mathematical perspective. They distinguished that standardized PCA achieved the greatest
performance for change detection. Standardized PCA is better than unstandardized PCA for change detection because, if the images subjected to PCA
are not calculated in the same scale, the correlation matrix normalizes the data onto the same scale

A Study on Traffic Violations Essay
A STUDY ON TRAFFIC RULES VIOLATIONS IN CHENNAI
(VANDALUR AND PERANGALUTUR)
Submitted By:
Praveen Kumar A, MBA.
INTRODUCTION Violations in traffic laws are very common in a highly populated country like India. The conditions are even worse in metro cities
like Delhi, Mumbai Bangalore and Chennai. The accidents associated with these violations cause a huge loss to life and property.
Same is the case in Chennai. Being a metro city and a highly populated one also, has a lot of road accidents every year. Despite this the violations in
traffic laws do not reduce. A lot of people disobey the rules every day sometimes willingly and sometimes because they are forced to do so because of
others.
The major traffic laws in India ... Show more content on Helpwriting.net ...
Also it has a vast population which causes a lot of traffic on the roads. Knowing these factors help us to collect more accurate data because it enables
us to compare between different situations and make a better analysis. These factors can be identified as:
Overcrowded roads because of a large population, Maximum traffic is observed during office hours i.e. between 8.00–10.00AM and 5.00–8.00PM.
Therefore the maximum violations are also done during these peak hours. Are report includes study during both peak as well as non peak hours. One
another important factor is that since most of the offices are in the areas like Vandalur and Perangalatur, the maximum traffic is observed in these
areas. So these areas experience maximum breaking of traffic laws.
The violations mentioned in the report are:
Overloading of vehicles– it is very common in the case of two wheelers.
Not wearing helmets or seat belts is also a major rule which is not followed and is the cause of many deaths and serious injuries.
Drunken driving and speeding beyond a mentioned limit.
Driving in the wrong direction is one of the key violations.
Not obeying the traffic signals is observed mainly during the peak hours of traffic as everyone is in a rush to reach early.
Thus, these are the basis on which the report is based.

METHODOLOGY
As the traffic violations will give out better results when studied at the places with high density of

The Growth Of New Business
During the course of the study, it was found that the growth of new business had not been very consistent from 1981 to 2005. During pre reforms
period, individual business, all group insurance and total business were Rs. 2896.95 crore, Rs. 5899.36 crore and Rs. 8796.31 crore respectively in
1981. During post reforms period, individual business, all group insurance and total business amounted to Rs. 179481.39 crore, Rs. 117745.60 crore
and Rs. 297226.45 crore respectively in 2005. Growth rate of new business, all group insurance and total business ranged between –9.67 percent to
54.34 percent, –8.46 percent to 54.34 percent and – 9.20 percent to 38.50 percent respectively. Individual business, all group insurance and total
business of LIC showed compound annual growth rate of 18.76 percent, 13.28 percent and 15.80 percent respectively for the entire period. 257 As for
as contribution of LIC and private companies to the total investments of the life insurance sector, during the period under study was concerned LIC
contributed the maximum share of total investment. The maximum annual variation in case of investment of LIC and total investment was in the year
2009–10, which were 23.19 percent and 31.51 percent respectively. The minimum annual variation for LIC was 10.49 percent in the year 2011–12 and
10.35 percent in 2012–13 for total investment. Growth rate of investment of private companies ranged between 9.51 percent to 94.96 percent. The
compound annual growth rate

Support For Marijuana Legalization Against First Age
Methodology In conducting my research, I utilized data from the 2012 National Election Survey, which includes data vital to my research. NES2012
data produced information regarding both levels of support for the legalization of marijuana as well as three separate age categories (1) 17–39 (2)
40–59 and (3) 60–older. It is worth noting that since the data was collected in 2012 opinions have been bound to shift, specifically in states which have
seen statewide recreational legalization, however for the function of the research, the given data produces ample information and analysis which will
facilitate with rejection or acceptance of the working hypothesis. Throughout the duration of the research multiple tests were utilized, including a
Chi–Square test, which analyzed levels of support for marijuana legalization against first age as the independent variable and the against level of
education as a control variable. The first test in which only the independent and dependent variable are accounted for contains 5397 respondents, for
which a total of 2103 respondents favor legalization compared to the 1929 whom oppose legalization. When the control variable is accounted for, 5355
total respondents are surveyed, 2085 of which favor legalization compared to the 1911 that oppose legalization. Considering that the variables being
tested are categorical in nature, the cross tabulations examination coupled with utilization of the Chi–square component appears most necessary. The
null

The Problem Of Pressure Ulcer Prevention
Conceptual Framework A framework is an abstract, logical structure of meaning, which guides the development of the study and enables the
researcher to link the findings to nursing's body of knowledge. Every study has a framework, and in this study it is explicitly expressed. Drake and
colleagues (2012) inductively have studied and surveyed subjects on the matter of pressure ulcer prevention. The concepts in the framework are (a)
pediatric nurses' knowledge of pressure ulcer prevention, (b) beliefs and practices, (c) barriers and facilitators to providing evidence–based pressure
ulcer preventive practices. Operational and conceptual definitions are used and are consistently associated with one another. It is implied that
enhancing nurses' knowledge base, disseminating guidelines, and generally improving the practices of nurses working with patients at risk for
impaired skin integrity will significantly enhance the quality of life for the patients.
Methods
The methods section of a research report tells the reader how the study was conducted, and it should include the design of the study, ethical value of the
study, sampling size, the measurements, and the data that they collected. The study design of this article is an exploratory, descriptive study in which
they used a cross–sectional survey. In an inpatient setting at a freestanding academic Midwestern children's hospital, Drake and colleagues (2012) used a
sample size of 348 acute care nurses. This allowed for

Self-Efficacy And Empowerment. Introduction. Can Rephrasing
Self–efficacy and Empowerment
Introduction
Can rephrasing our refusal statement help us achieve our goals? According to the study performed by Patrick & Hagtvedt (2012), the answer is yes.
The resistance to temptation is vital for healthy eating, weight–loss, as well as maintaining our commitment to any goal. Long–term goals take the time
to attain, which provides us with ample opportunity to give in to our 'wants and desires'. When this happens, we delay our progress. Many studies
have been performed on this subject; however, this is the first one to examine the linguistic approach of 'self–talk' or talking to oneself, using our
internal forces, to assist us in reaching that goal (Patrick, V., & Hagtvedt, H., 2012). It proposes,... Show more content on Helpwriting.net ...
Self–efficacy is a complex concept which empowers us to do whatever we believe we can do, giving us self–confidence, and enhancing our motivation
(Carey & Forsyth, 2017). Fisher and Kridli (2014) define motivation as, "A complex concept that includes the beliefs, values, and attitudes regarding
the accomplishment of a desired behavior or behaviors" (P. 238, Para. 3). Furthermore, Patrick and Hagtvedt (2012) conceptualize empowerment as, "A
feeling of strength and control that in turn may help motivate goal pursuit" (P. 373, Para. 3). Patrick and Hagtvedt (2012) proposed that, "Using the
word "don 't" rather than "can't" represents two distinct types of refusal that differ in terms of what they implicitly connote about the consumer's
commitment and attitude toward their goals" (P. 371, Para. 2). Just as in the original study, my study seeks to demonstrate the use of 'self–talk' in
creating empowerment in an individual, which will enhance the resistance to temptation and motivate goal directed behavior (Patrick & Hagtvedt,
2012, P. 372). In the prior study, quantitative analysis was performed using ANOVA, Chi
–square, and binary logistic regression (Patrick & Hagtvedt,
2012). The original study was performed without mention of participant recruitment, demographic data, debriefment, as well as informed consent;

Chi-Square Test Lab Report
Abstract
The purpose of the experiment was to examine a cross involving two traits to generate and test a genetic hypothesis. The two mutations that were
observed were white eye and vestigial wing. The inheritance was examined by using a computer program for the two inheritance modes (autosomal and
sex–linked). The Parent generation consisted of white males and vestigial females. The parent flies were crossed and produced an F1 offspring. The
parent were discarded and in this way kept from intersection with the F1 generation, which were crossed with one another to create the F2 generation.
The sex and phenotype was observed and recorded for each generation of flies. From this information, a chi–square test was performed to determine if
the ... Show more content on Helpwriting.net ...
A human body has tens of thousands of genes, which is the reason for cell function which comprises of the diffusion of genetic features. From the
colour of a human eyes and hair, and to the risk level of being diagnosed with an illness or medical condition such as allergies, diabetes and cancer,
genes play a huge part in determining various human physiognomies. Such information about genes are stowed in DNA (Deoxyribonucleic Acid). Most
commonly, genes are produced in two, both inherited from their parents respectively. In addition, this piece of data is unique to individual, unless
identical twins, where the likelihood is practically zero of two individuals sharing the same genes.
Drosophila is one of the first organisms to be studied genetically, which is well–known as the fruit fly, a tiny fly that gathers around rotten fruit. Fruit
fly is a widely used model organism. Essentially, fruit flies are not expensive to be experimented in the laboratories. It contains short generation times
and simple genetics, which is useful for quick experiments with huge sample sizes. In general, Drosophila is so common, it has been used for many
experiments that listing the number of things that can be done with it is almost

BM0421 Essay
BM0421 Business Research Analysis Student Name: Qiumi Lv Student Number: W14006495 Word Count: 3112 Contents 1. Part 1
(a)..............................................................................................2 2. Part 1 (b).............................................................................................2 3. Part 1
(c).............................................................................................3 1. The Research Method and Questionnaire..............................................3 2. The design
decisions........................................................................3 4. Part 2..................................................................................................5 1.
(i)...................................................................................................5 2. (ii).................................................................................................10 3.
(iii)................................................................................................13 4. (iv)................................................................................................15 5.
(v).................................................................................................18 References..........................................................................................22... Show more
For example, the questionnaire produced for the Light Rail Transit system, which has gain more and more popular in few decades. Traveling by train,
particularly the light rail, becoming a more convenient and convenient trip mode. Secondly, the following step is deciding on response categories.
There are some questions of the questionnaire including the basic information of participants, such as age, gender, income and family status. The
information could assist with the company to know the other factors whether influence their response, and then the company would have a more
suitable plan. The third part of designing the questionnaire is writing questions with considering the developing objectives. And then, ordering the
questions, putting them in an order that will be logical and ease respondents. For instance, the LRT has the options under consideration, but the
budgetary constrains mean that decisions must be made about which of these to priorities. So, a few questions with the rating scale, helping the
company realizes which one is more important for customers. Furthermore, there is a question regarding the price, which might be another factor that
the company should be think about. In the end of questionnaire is layout and writing a cover letter/introductory statement. The questionnaire needs to
construct a clear, logical, professional and pleasing layout and design. Moreover, the cover letter generally includes the

An Analysis on the 100th Year Tv Commercial of Coca-Cola...
AN ANALYSIS ON THE 100TH YEAR TV COMMERCIAL OF COCA
–COLA AND ITS EFFECTS ON CONSUMER'S BUYING BEHAVIOR
ACKNOWLEDGEMENT First of all we would like to show our gratefulness to the ALMIGHTY GOD who gives us the knowledge and strength to
accomplish this research. To him we prayed sincerely that this research will have a positive result and will benefit anyone that will be able to read
this. Second are the people who helped us to finish this Market Research especially to our parents who have always been there all the way supporting
us morally and financially. Also, to each member of the group for their time, effort, cooperation and patience in doing this research. Without them this
research wouldn't be possible. And last but not the... Show more content on Helpwriting.net ...
They produced numerous commercials simultaneously which makes the consumers confused. And with regards to the product's popularity they
rarely reach the rural areas in the Philippines with their TV commercials. II. BACKGROUND OF THE STUDY In our world today, advertising is very
powerful in making people aware of products or services available in the market. There are a lot of ways to advertise products or services but the most
well–known and frequently used is the tri media which is basically composed of television, radio, and newspapers and magazines. But in this study,
the researchers decided to focus on television commercials because in their opinion out of all the tri media, television is still the most useful and it is
the best way to inform people aware of your product or service especially here in the Philippines because Filipinos loves watching television that 's
why the researchers believe that almost everyone is familiar with Coca–Cola 's 100th year TV commercials. The researchers have decided to move
forward with this study because they know that Coca–Cola is one of the most popular brand of beverage in the Philippines. Every individual is familiar
with Coke and mostly are fond of drinking soft drinks. Particularly in the kind of weather our country has, people are purchasing soft drinks to satisfy
their thirst because of the hot weather and Coca–Cola has been

Relationship Between Body Mass Index And Gender
The first Chi Square analysis I ran is to determine a relationship between Body Mass Index(BMI) and Gender. The P–Value is 0.202744 while the level
of significance is 0.05. This led to non–significance. The second chi– square analysis I ran is to determine a relationship between being on a sports
team or with BMI. The P– Value is 0.574058 while the level of significance is 0.574. This means the data was non–significant. The third chi square
analysis I ran is to determine if there is a relationship between having friends who exercise and the college students feeling towards running. The Chi–
Square number is 5.43 with a P– value of 0.019. This led to significance between the two data points. I ran a regression analysis to see if gender,
being on a sports team, or the amount of time you exercise per week influences GPA. The P– Value for gender is 0.072, while the P– Value for being
on a sports team is 0.020. With a level of significance of 0.05 these two data points were significant. The amount of times exercised per week P– Value
is 0.64, while I am looking for a level of significance of 0.05. This led the results to be non– significant for times exercised per week and GPA. In the
introduction, I stated that I expect those who exercise to have a lower GPA than those who don't. I felt this because I think if you work out you will
have less time to study or focus on school work. After running a regression analysis, I found that there was no relationship between the two. The

Methods. The Acha-National College Health Assessment Ii

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Methods. The Acha-National College Health Assessment Ii