Some lecturers tends to give correlation,regression until anova as a must subject to be taught in undergraduate statistics course.
I need your referrence and expert opinions on this?
Descriptive statistics including correlation and curve fitting. Design of experiments. Intuitive treatment of probability and inferential statistics including estimations and hypothesis testing.
I think that the primary importance for further statistical treatment is correct design of the experiment. For example, you can consider only population which respond to one or another stimuli with the same way, but you can not mix several population what have opposite response to the same stimuli. As an example we can consider investigation of gene expression in muluticellular organism which consist form different cell types. In reality these cells may react differently, even opposite to changes in environment. So, in this case "average in gene expression" do not have any meaning.
Sorry, I´m natural scientist. And here I know what we need in statistics. But in your field, no realistic and substantiated idea.
Descriptive statistics including correlation and curve fitting. Design of experiments. Intuitive treatment of probability and inferential statistics including estimations and hypothesis testing.
I believe that the subjects I think compulsary in teaching statistics course for undergraduate on management should include at least the following:
- Design of Experiments
- Sampling
- Normal Distribution
- Testing Hypotheses: t-tests, Correlation & Regression, ANOVA, Chi-Square
- Prediction
- Badges
- Science topic
- Similar topics
- Mathematics
- Statistics
- Regression