Read carefully! This is a practice assessment in order to find someone who is capable of doing the real exam. I will obviously pay more for the real assessment. The assessment is based in Australian

Read carefully!

This is a practice assessment in order to find someone who is capable of doing the real exam. I will obviously pay more for the real assessment.

The assessment is based in Australian time 11 am on 26/06/2020. YOU MUST BE AVAILABLE DURING THIS TIME!!!

This is a timed assessment that goes for 1 hour 45 mins.

I am looking for someone highly skilled in these statistics topics:

- RStudio

- Hypothesis testing

- Numerical summaries (in RStudio)

- One-sample t-test

- One-sample t-test in RStudio

- Linking t-tests and Confidence intervals

- t-test of differences

- Two-sample t-test

- Meeting conditions of hypothesis tests

- Two-sample t-test Vs t-test of differences

- Two categorical variables

- Table of counts and contingency tables

- Proportions

- Chi-squared test with hypothesis

- Expected counts

- Expected counts Vs observed counts

- Two numerical variables (Numerical bivariate data)

- Linear models

- Correlation coefficient

- Fitting linear models (Intercept and Slope)

- Using the linear model (Linear model equation)

- Prediction

- Extrapolation

- Residuals and conditions

- Residuals formula

- Residuals plot

- One-sample t-test of slope

- Collecting data (parameter, statistic, sampling frame)

- Statistical Vs Non-statistical sampling

- sampling methods (simple random, systematic, stratified, cluster)

- Sampling error

- Experimental units (treated, response)

- Experimental design (replication, randomisation, blinding, pairing)

- Experimental design Vs Observational studies

- Lurking variables

- Normal distribution

- Empirical rule (arising from data)

- Standard normal distribution

- Z-score

- Sampling distributions

- Standard error

- Central limit theorem

- Confidence intervals

- Conditions for confidence intervals

- Interpreting confidence intervals

- Confidence intervals adding to conclusion of hypothesis test