Yes, statistics made easy here!!! We will provide you with some very important and essentials skills in statistics. Master statistics quickly with our easy to follow lessons.
Statistics is a very important branch of mathematics and the study of statistics has become more popular than ever before.
Today all of us rely on statistical data in order to make an informed decision. For example, business leaders need statistical data to make decisions affecting production levels, future hiring, and so forth. Start your journey with this important field here!
Try to study them, if possible, in the order the topics are listed here from top to bottom although it is not a requirement at all to perfectly understand each individual lesson.
Introduction to statistics
Learn basic terms of statistics/Collecting data: definition of statistics, types of statistics, population, sample, survey, representative sample, common sample methods, time-series data, and others.
Organizing and displaying data
Organize data with tables and graphs: raw data, frequency distribution table, relative frequency distribution table, display of qualitative data, frequency distribution of quantitative data, less than method for writing classes, shapes of histogram, and others.
Measures of central tendency
Learn to interpret data sets with the mean, median, mode, midrange, range, standard deviation, Chebyshev's Theorem, empirical rule, quartiles and interquartile range, percentiles, and percentile rank,
An understand of probability is vital in statistics. Explore these important topics such as
fundamental counting principle, permutation, probability of an event, experimental probability, probability of compound events, coin toss probability, and others.
Discrete random variables and their probability distributions
Create a theoretical model describing how an experiment is expected to behave. Then, get its parameters. Learn to find the probability distribution, the mean, the standard deviation of a discrete random variable.
The normal distribution
Discuss the continuous random variable, the normal distribution and some of its many real life applications. Standardizing a normal distribution before finding the area under the curve and looking for the z-scores for a specific area.
Learn to find the probability distribution for the mean, the standard deviation, the median, and the mode.