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In: Psychology

Submit a 2-3 page paper answering the following questions: How do statistics and research methods apply...

Submit a 2-3 page paper answering the following questions:

How do statistics and research methods apply to your life? How does learning statistics fit into your academic goals? How does learning statistics fit into your professional goals?

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Expert Solution

Why statistics are important in our life? Statistics are the sets of mathematical equations that we used to analyze the things. It keeps us informed about, what is happening in the world around us. Statistics are important because today we live in the information world and much of this information’s are determined mathematically by Statistics Help. It means to be informed correct data and statics concepts are necessary. To be more specific about the importance of statics in our life, here are 10 amazing reasons that we have heard on several occasions.

1) Everybody watches weather forecasting. Have you ever think how do you get that information? There are some computers models build on statistical concepts. These computer models compare prior weather with the current weather and predict future weather.

2) Statistics mostly used by the researcher. They use their statistical skills to collect the relevant data. Otherwise, it results in a loss of money, time and data.

3) What do you understand by insurance? Everybody has some kind of insurance, whether it is medical, home or any other insurance. Based on an individual application some businesses use statistical models to calculate the risk of giving insurance.

4) In financial market also statistic plays a great role. Statistics are the key of how traders and businessmen invest and make money.

5) Statistics play a big role in the medical field. Before any drugs prescribed, scientist must show a statistically valid rate of effectiveness. Statistics are behind all the study of medical.

6) Statistical concepts are used in quality testing. Companies make many products on a daily basis and every company should make sure that they sold the best quality items. But companies cannot test all the products, so they use statistics sample.

7) In everyday life we make many predictions. For examples, we keep the alarm for the morning when we don’t know that we will be alive in the morning or not. Here we use statistics basics to make predictions.

8) Doctors predict disease on based on statistics concepts. Suppose a survey shows that 75%-80% people have cancer and not able to find the reason. When the statistics become involved, then you can have a better idea of how the cancer may affect your body or is smoking is the major reason for it.

9) News reporter makes a prediction of winner for elections based on political campaigns. Here statistics play a strong part in who will be your governments.

10) Statistics data allow us to collect the information around the world. The internet is a devise which help us to collect the information. The fundamental behind the internet is based on statistics and mathematics concepts.

Why Study Statistics?
The first reason is to be able to effectively conduct research. Without
the use of statistics it would be very difficult to make decisions based on
the data collected from a research project. For example, in the study
cited in Chapter One, is the difference in recorded absenteeism
between psychiatric and obstetrics nurses large enough to conclude
that there is meaningful difference in absenteeism between the two
units? There are two possibilities: The first possibility is that the
difference between the two groups is a result of chance factors. In
reality, the two jobs have approximately the same amount of
absenteeism. The second possibility is that there is a real difference
between the two units with the psychiatric unit being more nurses
missing work. Without statistics we have no way of making an educated
decision between the two possibilities. Statistics, however, provides us
with a tool to make an educated decision. We will be able to decide
which of the two possibilities is more likely to be true. We will base this
decision on our knowledge of probability and inferential statistics.
The second reason to study statistics is to be able to read journals.
Most technical journals you will read contain some form of statistics.
Usually, you will find them in something called the results section.
Without an understanding of statistics, the information contained in this
section will be meaningless. An understanding of basic statistics will
provide you with the fundamental skills necessary to read and evaluate
most results sections. The ability to extract meaning from journal articles
and the ability to critically evaluate research from a statistical
perspective are fundamental skills that will enhance your knowledge
and understanding in related coursework.
The third reason is to further develop critical and analytic thinking skills.
Most students completing high school and introductory undergraduate
coursework have at their disposal a variety of critical thinking and
analytic skills. The study of statistics will serve to enhance and further
develop these skills. To do well in statistics one must develop and use
formal logical thinking abilities that are both high level and creative.
The fourth reason to study statistics is to be an informed consumer. Like
any other tool, statistics can be used or misused. Yes, it is true that
some individuals do actively lie and mislead with statistics. More often,
however, well meaning individuals unintentionally report erroneous
statistical conclusions. If you know some of the basic statistical
concepts, you will be in a better position to evaluate the information you
have been given.

According to the Bureau of Labor Statistics, which groups statisticians with mathematicians, the job outlook for the industry is positive. Overall employment for mathematicians and statisticians is expected to grow 33 percent from 2016 to 2026—nearly five times as fast as growth for all occupations.

Much of this projected growth will result from businesses collecting an increasing amount of data from an ever-widening number of sources. In order to analyze and interpret this data, businesses and organizations will need to hire more people specifically trained in such analysis.

The BLS also reports that the median annual wage for statisticians was $87,780 per year as of 2018, or roughly $42.20 per hour.



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