Reflection and own thought about article “RAFisher and the science of hatred. The great statistician was also a racist who believed in the sterilisation of those he considered inferior.”

April 27, 2023April 27, 2023 Discipline: Statistics

As we have been discussing in class, the history of the statistics that you are using in this class, is closely related to the work of Galton, Pearson, and Fisher. We have discussed that these scientists were heavily involved in (and leaders of) eugenics movements that resulted in injustice and atrocities against millions of people. It is time for us, as learners and scholars, to take responsibility for this history and commit to ethical use of data, research, and statistics. Here is your assignment:

Read the following article: https://www.newstatesman.com/international/science-tech/2020/07/ra-fisher-and-science-hatred.
Write a two page (double-spaced) response that discusses what you learning and how it relates to your education/ field of study.

Here are overall of Course Description that might help you to write. 
This course is an introduction to quantitative methods in educational research emphasizing the
interpretation of frequently encountered statistical procedures. EDPSY 101 is a General Education
Quantification (GQ) course. Students will learn both conceptual and technical aspects of location and
dispersion measures, regression and correlation, hypothesis testing, z-tests, and t-tests.
Learning Objectives: As a result of this course, students will be able to:
a. Define and provide examples of scales of measurement.
  • Understand how scales of measurement are important for descriptive and inferential statistics
b. Understand univariate or descriptive statistics 
  •  Define and compute central tendency and variability.
  •  Plot univariate distributions.
  •  Describe properties of the normal distribution.
  •  Compute z-scores and percentile ranks.
c. Understand bivariate relationships
  • Use a scatterplot to estimate magnitude and direction of relationship
  • Define and provide examples of correlation and regression.
  • Compute correlation coefficients and regression parameters (i.e., slope & intercept).
d. Understand inferential statistics
  • Define concepts of hypothesis testing.
  • Define and compute confidence intervals
  • Use the 7-step hypothesis testing method. Compare sample and population means with hypothesis testing.
  • Compare two independent samples means with hypothesis testing.
e. Compare two dependent samples means with hypothesis testing.
Text (Required) – King, B. M., Rosopa, P. J., & Minium, E. W. (2018). Statistical Reasoning in the Behavioral
Sciences (7th Edition). Wiley & Sons, Inc.
You can find the article from the file the I uploaded.
Please try to mix easy grammar and vocabs because I am a foreign student and I need the work to be in simple form. If it is not, I would have to ask you to edit it. 

Thanks for your help!

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