Probability & Statistics Made Simple (For Arabic Students)

Learn how to calculate and interpret the mean, mode, and median, and understand how skewness describes the shape of data distributions.

Learn how to measure the spread of data using range, variance, and standard deviation, and understand what they reveal about data variability.

Revisit the key measures of central tendency and variability, and practice how to summarize and interpret data using these essential statistical tools.

Learn how to divide data into quartiles, calculate the interquartile range (IQR), and use box plots to visualize data distribution and detect outliers.

Learn the fundamental statistical terms, including data, types of variables, sample, and population, and understand how they form the basis for statistical analysis.

Learn how to represent categorical data using bar charts, pie charts, and other graphical methods to easily compare categories and interpret patterns

Discover how to visualize numerical data using histograms, box plots, and scatter plots to analyze distribution, variation, and relationships in datasets.

Students will learn what discrete random variables are, how to calculate their probabilities using probability functions, and how to solve problems involving different discrete outcomes.

Students will learn how to use the binomial formula to calculate probabilities and will practice solving various problems to apply the concept in real-life situations.

Students will learn how to use the Poisson formula to calculate probabilities of rare events and practice solving problems to apply the distribution in real-world scenarios.

Students will learn how to use the continuous uniform distribution formula to calculate probabilities and will practice solving problems involving equally likely outcomes over a continuous interval.

Students will learn how to apply the normal distribution formula, use the z-table to find probabilities, and solve problems involving real-world continuous data.

In this lesson, you will learn how to determine the probability of the sample mean and the sample sum.

By the end of this lesson, students will understand how to estimate a population variance & standard deviation using sample data, construct and interpret confidence intervals, explain the meaning of a confidence level such as 95%.

From this lesson, students will learn how to solve problems related to hypothesis testing on the mean and apply the correct formulas to reach valid statistical conclusions.

From this lesson, students will learn how to solve problems related to hypothesis testing on the variance & standard deviation and apply the correct formulas to reach valid statistical conclusions.

From this lesson, students will learn how to compare the variability of two populations by using the ratio of their variances. They will also understand how to apply the F-test formula and interpret results to determine if the differences in variability are statistically significant.

In this lesson, you will learn how Simple Linear Regression models the relationship between a dependent variable and one independent variable, and how to use it to make predictions based on a best-fit line.

In this lesson, you will have more practice and problem-solving exercises on Simple Linear Regression to strengthen your understanding and application of predicting outcomes using a single independent variable.

In this lesson, you will learn about single factor experiments and how ANOVA (Analysis of Variance) is used to determine whether there are significant differences between the means of multiple groups in an experiment.