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Basic Concepts

Classification of data

Sampling methods

Census and bias

Data Representation

Frequency distribution and histograms

Frequency polygons

Shapes of distributions

Data Interpretation

Center of a data set: mean, median, mode

Spread of a data set - standard deviation & variance

Measures of relative standing - z-score, quartiles, percentiles

Bivariate, scatter plots and correlation 

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Addition rule for "OR"

Multiplication rule for "AND"

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Normal Distribution and Z-Scores

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Normal distribution and continuous random variable

Z-scores and random continuous variables

Sampling distributions

Central limit theorem

Rare event rule

Confidence Intervals

Point estimates

Confidence levels and critical values

Margin of error

Making a confidence interval

Confidence intervals to estimate population mean

Student's t-distribution

Chi-Squared confidence intervals

Hypothesis Testing

Null hypothesis and alternative hypothesis

Proving claims

Confidence levels, significance levels and critical values

Test statistics

Traditional hypothesis testing

P-value hypothesis testing

Mean hypothesis testing with t-distribution

Type 1 and type 2 errors

Chi-square goodness of fit test

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