I enjoyed your post. The correlation between the ice cream and the crime was positive because when crime was up, people were eating more ice cream.
March 18, 2021
geotechnical engineering 21
March 18, 2021

I enjoyed your post. The correlation between the ice cream and the crime was positive because when crime was up, people were eating more ice cream.

A minimum of 100 words each and References Response (#1 – 6) KEEP
RESPONSE WITH ANSWER EACH ANSWER NEED TO HAVE A SCHOLARY SOURCE with a
Hyperlink

Make sure the Responses includes the Following: (a) an
understanding of the weekly content as supported by a scholarly
resource, (b) the provision of a probing question. (c) stay on topic

1. I enjoyed your post. The correlation between the ice cream and
the crime was positive because when crime was up, people were eating
more ice cream. When two variables are in a relationship, they each will
increase or decrease together (What Is.Com, n.d.). A perfect positive
correlation is expressed as a +1. A zero shows a lack of correlation and
anything below a zero indicates a negative correlation. Correlation
does not imply causation because correlation between variables does not
mean that one variable causes another one to change (What Is.Com, n.d.).

2. This information seems very interesting to me. To find the
answer to this question, we would need to start somewhere. Some
questions are able to be answered experimentally. However, it would be
immoral to conduct an experiment that may control crime rates. Another
method to consider can be a correlational study. This is used to study
the degree or relationship between two events, behaviors, or traits.
Researcher may use correlation to explore behaviors that are not fully
understood. Once the correlation is determined, it can be used to make a
prediction. The higher the correlation, the more accurate the
prediction may be. From the example provided, many people may say that
we have a positive correlation because as ice cream consumption goes up,
then crime rates go up. This is not exactly the case. Correlation does
not necessarily equal causation. The causation would more than likely be
from heat and ice cream, and temperature and crime rate. Therefore,
heat may be the answer to this phenomenon because heat may aggravate
people more and would also explain the increase for ice cream
consumption

3. A corellational study is conducted to determine a relationship
between two behaviors, traits, or events (Myer & Hansen, 2012). In
the correlational study of ice cream and the crime rate, they are
related in that when ice cream consumption drops, so does the crime
rate. The discussion question mentions that this is specific to summer
months, so it should also be asked if a correlation could be made
between swimming and the crime rate as well. If individual environments
were studied as well as the correlation between ice cream consumption
and crime, would the results be impacted? Some environments may not
produce as much crime as others during the summer months, which is when
ice cream consumption is at it highest, this study could produce
outliers within the correlation (Myers & Hansen, 2012). Which
behavior is the cause and which behavior is the effect? Our textbook
states that we cannot determine this in most correlational studies. The
textbook also states that we cannot be sure if there is a third agent
that could be impacting the results of the study (Myers & Hansen,
2012). There is a possible third agent in this study, temperature. When
it begins to warm up, people begin to spend more time outdoors. This
could be another correlation of the crime rate being high during high
ice cream consumption times. While the results are interesting, there
are many factors to take into account for the high crime rate and the
increase of ice cream consumption.

4. I see your perception of the topic. But I believe that the
discussion consists’ of how a set of people committed crime according to
time of the year and what they consumed while committing the crime. But
broken down, a researcher can see the perspective the way that you do,
which is understood. Being that the correlation to the topic is not
revealed the researcher can assume probabilities instead of stating
facts.  Which is not what we want to do but remain connected to
scientific methods and correlate the study to its true data. When
comparing the factors we must always steer clear of plagiarism and be
sure to state facts. Proposing a explanation made on the basis of
limited evidence as a starting point for furthering investigation by
reasoning without assuming true data is a correct way to show exuberant
and proper protocol (Myers & Hansen, 2012).

5. When conducting a correlational design, a researcher should be
cautious in drawing causal conclusions because a correlational design
is used to determine the degree of a relationship between two variables
(Myers & Hansen, 2012). This does not mean that one variable causes
changes to another variable. Causation is an indication that one event
occurs because of the other event. Correlation simply means association.
This design is used to seek why two or more variables are related. If
they are related, in which way are they related? An example of a
correlational design is smoking and lung cancer. They are related
because some people who smoked acquired cancer. This does not mean that
smoking causes cancer, only a relationship because everyone who smokes
does not receive cancer. Causation has to be proven that one variable
affects another variable.

6. I ensured that the hypothesis was well formulated through
considering all the characteristics of good research. I formulated the
research by identifying what problem I would address in the research,
defining the variables, and linking them with an if statement (Study
Lecture notes, n.d.). It had a tentative aspect highlighting the
behavior of depression. Also, it was synthetic and falsifiable in that
the statement can be true or false until proven by the research, and
testable through carrying out the research. The hypothesis was generated
from the purpose of the research and relevance to the problem of the
research whereby the variables affecting the subject are considered and
the expected results of the research making it easy to create the
hypothesis based on the objectives of the research and its major
variables. I also ensured that the hypothesis outlines the relationship
between the two variables. Also, the hypothesis had to be parsimonious
by being clear and simple enough and be an empirical statement that is
susceptible to observation. I also ensured that the hypothesis was
fruitful to have the capability to lead to new studies (Myers, 2011).

Hypothesis

If people have mental health awareness of having positive perceptions
and attitudes towards depressing situations, they will easily be able
to maintain mental health stability than if they sought counseling after
already being depressed.

Reasons to be cautious in creation of a conclusion from a correlational study

The creation of a conclusion from a correlational study ought to be
carried out with cautiousness since the correlations do not mean
causation (Myers, 2011). The relationship between the two variables
cannot be assumed to cause each other, even if it appears to have
causation relations or closeness. This requires researchers to be
cautious in analyzing the results and making correlation of studies
ought to have a correlation of the variables to test the research
hypothesis but should not be assumed to have direct causation. Also, the
two variables in the correlation do not define which variable to be
considered as a cause and the other as the effect. If the relationship
between the two variables cannot be directly linked to each other
because there are eight other variables influencing the relationship.

 

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