I didn’t fit in at my old school, i had trouble learning in such a disruptive classroom which meant my grades falling, coming…”, “Thank you Forest Trail Academy for helping my student excel! Statistics is the science of organizing, analyzing, and interpreting large numerical datasets, with a variety of goals. a detailed exam report complete with your personal statistics and even specific lessons to focus on! MATH 1005, Statistics, is a four-credit statistics course that is designed to offer the same major subject and content areas as a traditional statistics course but differs in that an emphasis is placed on application. Major exams are required to be proctored online through ProctorU. This course is designed to provide a basic understanding of descriptive and inferential statistics. SPHP courses require the use of the UNE-approved external webcam for all proctored exams. Many courses are … Get the unbiased info you need to find the right school. Topics include the measures of central tendency, standard deviation, combinations and permutations, probability, sampling, and various distributions. - Definition & Examples, Lesson 13 - Joint, Marginal & Conditional Frequencies: Definitions, Differences & Examples, Lesson 1 - Mathematical Sets: Elements, Intersections & Unions, Lesson 2 - Events as Subsets of a Sample Space: Definition & Example, Lesson 3 - Probability of Simple, Compound and Complementary Events, Lesson 4 - Probability of Independent and Dependent Events, Lesson 5 - Probability of Independent Events: The 'At Least One' Rule, Lesson 6 - How to Calculate Simple Conditional Probabilities, Lesson 7 - The Relationship Between Conditional Probabilities & Independence, Lesson 8 - Using Two-Way Tables to Evaluate Independence, Lesson 9 - Applying Conditional Probability & Independence to Real Life Situations, Lesson 10 - The Addition Rule of Probability: Definition & Examples, Lesson 11 - The Multiplication Rule of Probability: Definition & Examples, Lesson 12 - Math Combinations: Formula and Example Problems, Lesson 13 - How to Calculate a Permutation, Lesson 14 - How to Calculate the Probability of Permutations, Lesson 15 - Relative Frequency & Classical Approaches to Probability, Lesson 1 - Random Variables: Definition, Types & Examples, Lesson 2 - Finding & Interpreting the Expected Value of a Discrete Random Variable, Lesson 3 - Developing Discrete Probability Distributions Theoretically & Finding Expected Values, Lesson 4 - Developing Discrete Probability Distributions Empirically & Finding Expected Values, Lesson 5 - Dice: Finding Expected Values of Games of Chance, Lesson 6 - Blackjack: Finding Expected Values of Games of Chance with Cards, Lesson 7 - Lotteries: Finding Expected Values of Games of Chance, Lesson 8 - Comparing Game Strategies Using Expected Values: Process & Examples, Lesson 9 - How to Apply Discrete Probability Concepts to Problem Solving, Lesson 10 - Binomial Experiments: Definition, Characteristics & Examples, Lesson 11 - Finding Binomial Probabilities Using Formulas: Process & Examples, Lesson 12 - Practice Problems for Finding Binomial Probabilities Using Formulas, Lesson 13 - Finding Binomial Probabilities Using Tables, Lesson 14 - Mean & Standard Deviation of a Binomial Random Variable: Formula & Example, Lesson 15 - Solving Problems with Binomial Experiments: Steps & Example, Discrete Probability Distributions Lesson Plans, Lesson 1 - Graphing Probability Distributions Associated with Random Variables, Lesson 2 - Finding & Interpreting the Expected Value of a Continuous Random Variable, Lesson 3 - Developing Continuous Probability Distributions Theoretically & Finding Expected Values, Lesson 4 - Probabilities as Areas of Geometric Regions: Definition & Examples, Lesson 5 - Normal Distribution: Definition, Properties, Characteristics & Example, Lesson 6 - Finding Z-Scores: Definition & Examples, Lesson 7 - Estimating Areas Under the Normal Curve Using Z-Scores, Lesson 8 - Estimating Population Percentages from Normal Distributions: The Empirical Rule & Examples, Lesson 9 - Using the Normal Distribution: Practice Problems, Continuous Probability Distributions Lesson Plans, Lesson 1 - Simple Random Samples: Definition & Examples, Lesson 2 - What is Random Sampling? You get to learn the essentials of Statistics for Data analytics. You can test out of the first two years of college and save Emphasis is on applications of statistical concepts. He works through the program at his pace…”, “Katie Bowcutt wins title ex-aequo, PKRA Jr World Champion, 2013Freestyle Kiteboarding.Thanks for your support, Forest Trail Academy…”. *To register, you will need to enable Flash in your browser first (here are step-by-step instructions). I don’t have the pressures of exams and trying to keep up with the rest of the class. These online programs feature the same outstanding courses … I compete in the sport of rodeo across many states, and it takes time and dedication to train and condition both …”, “FTA gave me HOPE. - Definition & Examples, Lesson 7 - Discrete & Continuous Data: Definition & Examples, Lesson 8 - Nominal, Ordinal, Interval & Ratio Measurements: Definition & Examples, Lesson 9 - The Purpose of Statistical Models, Lesson 10 - Experiments vs Observational Studies: Definition, Differences & Examples, Lesson 11 - Random Selection & Random Allocation: Differences, Benefits & Examples, Lesson 12 - Convenience Sampling in Statistics: Definition & Limitations, Lesson 13 - How Randomized Experiments Are Designed, Lesson 14 - Analyzing & Interpreting the Results of Randomized Experiments, Lesson 15 - Confounding & Bias in Statistics: Definition & Examples, Lesson 16 - Bias in Polls & Surveys: Definition, Common Sources & Examples, Lesson 17 - Misleading Uses of Statistics, Lesson 1 - What is the Center in a Data Set?

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