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Statistics Vs Descriptive Statistics

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Have you ever come across statistics, whether about football stats or school ratings for your children and wonder how these numbers are developed? Statistics is the method of gathering, arranging, and explaining the data presented. It retrieves information from a study of a large quantity and presents facts, which can make things clear and understandable for the average person. When statistics are used for specific reasons they can be identified as descriptive statistics or inferential statistics. This course has taught me that these statistics can involve the following, hypothesis development and testing, selection of appropriate statistical tests, and evaluating statistical results. This paper will explore the two types of statistics and …show more content…

Descriptive statistics provide a straightforward summary, according to data samples and its’ measures. It plainly lays out what is happening within the data. According to B. Conner and E. Johnson in American Nurse Today, “They help us understand and describe the aspects of a specific set of data by providing brief observations and summaries about the sample, which can help identify patterns” (2017, p.1). I have learned that there are three common types of measures of location used, which are mean, median and mode. The mean is the total of all numbers being identified divided by how many numbers there are. It is the best measure you can receive because it incorporates all data values. The median is the number that can be found in the middle of the set of information. When there are two numbers identified as the middle value the average of both numbers is used. Finally, the mode is the most frequently occurring value in the data set and can be more than just one …show more content…

In hypothesis testing, the ANOVA, T-Test, or Chi-Square is used to investigate if a hypothesis’s mean is true or false. Hypothesis testing involves developing the null hypothesis, choosing the suitable test static, identifying the statistical significance, deciding the decision rule to reject or not reject the null hypothesis, and collecting the data and completing the required calculations. The null hypothesis is simply a statement, which the investigator comes up with, that is being tested. Static testing involves using a value that is consistent and is computed from the data, such as the mean or mode. It measures the similarity or dissimilarity between the data and the null hypothesis. Statistical significance is measured by conducting a test, for example, a T-test, which tests the mean of two sample populations. Whether the null hypothesis is rejected or not depends on whether the test results are in favor of it. Finally, all the data needed for the test is collected to complete the

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Measurement issues. Data, even numerically coded variables, can be one of 4 levels - nominal, ordinal, interval, or ratio. It is important to identify which level a variable is, as this impact the kind of analysis we can do with the data. For example, descriptive statistics such as means can only be done on interval or ratio level data. Please list under each label, the variables in our data set that belong in each group.

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The p-value for the number of correct answers was 0.09288. This p-value indicates no significant difference between the two sets of data. The t-critical value for the number correct t-test was 2.0117 and the t-statistic was 1.71525. The t-statistic did not meet the t-critical value and therefore, the data also confirms there is no significance between the scores.

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Null hypothesis has no effect. A hypothesis gathers evidence against the null hypothesis, so the null can be rejected. The hypothesis is when you have an idea and you justify it that is right and gather evidence 6. Describe the differences between dependent and independent variables. a.

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Provide 4 answers. Tell me why the correct answer is correct and why the incorrect answers are incorrect. 1. This occurs when a researcher fails to reject a null hypothesis that is

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The author utilizes dice to help the students get comfortable with statistics. A data file, pivot table, and a normal probability table are utilized. Students roll a die 180 times. The die landed on six 14.2% percent of the time (Sharma, 2015). Another article in the Teaching Statistics magazine focuses on conditional probabilities.

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Research Scenario A: Question 1: Step 1 selection of test statistics Null hypothesis The null hypothesis is a statement that explains there is no difference between two variables (Salkind, 2013). Using the research question, a

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In the text, there are many instances where statistical evidence is used to help back Davidson’s point. Using this method of evidence gains the readers by presenting interesting findings. The use of statistics

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PSY 350: Experimental Psychology Statistics planning worksheet 1. What is your conceptual IV? That is, what thing do you want to change for participants because you think it will affect an outcome? If you have more than one IV, answer this question for each IV separately. The conceptual independent variable is the emotions of the participants during the experiment. 2.

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A statistic is quantitative or statistical evidence such as graphs, tables, or number. Yep Schwertner is really putting forth effort to win over his argument and show that this is a huge problem that should be solved. Schwertner informs that “since 2003, tuition and fees at Texas public universities have more than doubled” and that tuition “has increased an outstanding 222 percent” (Par 7). Schwertner uses this statistic to back up his testament that the Texas legislature made a huge mistake in letting public universities in setting their own rates. Since then student loans have increased over 200 percent which is basically like paying for almost three students.

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Plankton Activity Postlab 1) Apply 2.5: Use mathematical and/or computational representations to support explanations of factors that affect carrying capacity of ecosystems at different scales. Explain how the abundance of phytoplankton in the pond depends on the abundance of an abiotic resource such as nitrogen. - Phytoplankton are the producers in the pond. Species of organisms in ecosystems have their own carrying capacity relative to other species, and carrying capacities are determined by particular abiotic and biotic resources in an ecosystem. An increase in nitrogen levels in the pond (e.g. from fertilizers) will result in a dramatic increase in phytoplankton levels, but once phytoplankton population reaches its carrying capacity (determined by availability of other resources besides nitrogen, [DO] levels, predation etc.),

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The authors also use statistics which shows they have done their research. This allows the audience to believe this article is a reliable

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Similar to the use of ethos, statistics can also be utilized to add to the credibility of the writer and writing. In the article, statistics are used to give specific evidence supporting claims made by Summers. For instance, Summers makes his claim that plastic bags are in fact better for the environment and he uses evidence to back up his opinion. He says, “Compared to paper bags, plastic grocery bags produce fewer greenhouse gas emissions, require 70 percent less energy to make, generate 80 percent less waste, and utilize less than 4 percent of the amount of water needed to manufacture them.” The statistics used support Summers and illustrate the differences between plastic and paper bags.

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I also had the opportunity to work with statistical tools, such as Stata and R, as part of my ‘Learning from Quantitative Data’ and ‘Statistical Data and Analysis’ modules. The subject ‘Sample Surveys and Experiments’ required me to collect and work with real data to produce a comprehensive report on my findings. These modules gave me the qualitative and quantitative skills required to critically analyse research findings, which will be useful for the Research Methods unit and the

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Health statistics are important for knowing the health status of the whole population and its various segments and groups, as well as the trend in health status, the provision and distribution of healthcare services, and the impact of the provided services and programs. he success or failure of healthcare programs cannot be veriied without properly collected and interpreted health statistics. Proper allocation of resources also depends on health statistics. Researchers, presenters, and health care workers and students always need health statistics. However, it is not uncommon to ind a local article or presentation, which reports health statistics from all over the world, but fail to report local statistics from the Kingdom of Saudi Arabia (KSA).

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