Statistics I EssentialsREA’s Essentials provide quick and easy access to critical information in a variety of different fields, ranging from the most basic to the most advanced. As its name implies, these concise, comprehensive study guides summarize the essentials of the field covered. Essentials are helpful when preparing for exams, doing homework and will remain a lasting reference source for students, teachers, and professionals. Statistics I covers include frequency distributions, numerical methods of describing data, measures of variability, parameters of distributions, probability theory, and distributions. |
Contents
| 1 | |
FREQUENCY DISTRIBUTIONS | 9 |
NUMERICAL METHODS OF DESCRIBING DATA | 19 |
MEASURES OF VARIABILITY | 39 |
MOMENTS PARAMETERS OF DISTRIBUTIONS | 59 |
PROBABILITY THEORY BASIC DEFINITIONS AND THEOREMS | 68 |
DISTRIBUTIONS | 93 |
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Common terms and phrases
A₁ approximate arithmetic mean Average Deviation binomial distribution C₁ called Charlier's check class frequency class intervals class mark coding method coefficient of kurtosis coefficient of skewness compute Conditional Probability cumulative frequency d₁ definition of probability denoted discrete distribution skewed E₁ E₂ equal equation event EXAMPLE F are independent f₁ Find the probability formula frequency curves frequency distribution frequency histogram frequency polygon fx² geometric mean graph grouped data harmonic mean Hence Interquartile Range Large Numbers m₂ measure of dispersion Mesokurtic midpoint MULTINOMIAL DISTRIBUTION normal distribution number of class number of measurements number of observations number of permutations number of possible numbers x₁ occur P(EF P₁ Percentiles Poisson distribution possible outcomes probability distribution quadratic mean range rectangles set of measurements set of numbers Sheppard's correction single toss standard deviation Table total number weighted