Mat-243 Project 2 ~upd~ Here

Often, the project will contrast the normal distribution with an exponential distribution to prove the Central Limit Theorem. The exponential distribution is skewed (not symmetric) and defined by a rate parameter, $\lambda$ (lambda).

Ensure your sample sizes are sufficient for the Central Limit Theorem to apply ( is the standard rule of thumb). Phase 2: Choosing the Right Test mat-243 project 2

If you are feeling overwhelmed by p-values, null hypotheses, and Type I errors, this guide will break down every component of MAT-243 Project 2, provide coding snippets, and explain how to interpret your results for the accompanying summary report. Often, the project will contrast the normal distribution

You may be asked to calculate theoretical probabilities versus empirical probabilities. Phase 2: Choosing the Right Test If you

Identify your chosen team and the assigned comparison team (often the 1996–1998 Chicago Bulls). : [Example: Los Angeles Lakers, 2013–2015]. Assigned Team : [Example: Chicago Bulls, 1996–1998]. 3. Hypothesis Test for Population Mean (I): Relative Skill

t_stat_pts, p_value_pts = st.ttest_ind(new_team['pts'], historical_team['pts'], alternative='two-sided')