Unit 8

Inferential Statistics

Action Plan Tasks:

  • Collaborative Learning Discussion 2 Peer Response
  • Summary Measures
  • Inference Reading
  • Hypothesis Testing Worksheet
  • Summary Measures Worksheet
  • Defining Data Reading
  • Measurement Scales for Variables Reading
  • Central Tendency Reading
  • Variation and Shape Reading
  • Exploring Numerical Data Reading
  • Numerical Descriptive Measures for a Population
  • Fundamentals of Hypothesis-Testing Methodology Reading
  • t Test of Hypothesis of the Mean
  • One-Tail Tests
  • Potential Hypothesis-Testing Pitfalls and Ethical Issues
  • Comparing the Means fo Two Independent Populations
  • Comparing the Means of Two Related Populations
  • Analising Numerical Variables
  • Collaborative Learning Discussion 2 Peer Responses

Reflection:

What?

This week, I found the materials and the reading materials quite interesting. It directly connects with my area of expertise. We covered inferential statistics.

So What?

It is difficult to stay focus on the module materials as the assignment, due in a few weeks from now, require a huge amount of efforts and time. Nevertheless, these a few concepts we have learnt during this unit:

  • The Sample Mean and Sample Standard Deviation:
In qualitative data sets such as ratios and intervals, the sample mean and standard deviation are used to discover dispersion within a sample. Some assumptions can be made when interpreting sample standard deviations, such as that the data is symmetrical. As a general rule, 95% of all observations will be within two standard deviations of the mean. The majority of observations will also be within three standard deviations of the mean.

  • Hypothesis Testing:
A hypothesis test determines whether an assumption is true or whether a hypothesis is true by utilising data in order to prove its truthfulness. It’s a form of statistical inference that uses data from a sample to draw conclusions about a population parameter or a population probability distribution (Encyclopedia Britannica, n.d.). In the event of an overestimation, hypothesis testing will provide additional assurance.

What next?

Next week, I will continue working on my research proposal and literature review. Both are completing each other.

Reference:

Encyclopedia Britannica. (n.d.). Statistics - Hypothesis testing. [online] Available at: https://www.britannica.com/science/statistics/Hypothesis-testing. [Accessed 10 May 2022].