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
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