Mathematical Statistics with ApplicationsDuxbury, 2001 - 853 sayfa This is the most widely used mathematical statistics text at the top 200 universities in the United States. Premiere authors Dennis Wackerly, William Mendenhall, and Richard L. Scheaffer present a solid undergraduate foundation in statistical theory while conveying the relevance and importance of the theory in solving practical problems in the real world. The authors' use of practical applications and excellent exercises helps students discover the nature of statistics and understand its essential role in scientific research. |
İçindekiler
What Is Statistics? | 1 |
Probability | 19 |
Discrete Random Variables and Their Probability Distributions | 83 |
Telif Hakkı | |
23 diğer bölüm gösterilmiyor
Diğer baskılar - Tümünü görüntüle
Mathematical Statistics with Applications Dennis D. Wackerly,William Mendenhall,Richard L. Scheaffer Metin Parçacığı görünümü - 2001 |
Sık kullanılan terimler ve kelime öbekleri
approximately Assume calculate Chapter confidence interval continuous random variable degrees of freedom denote a random density function given derived difference discrete random variables distributed random variables distribution function distribution with mean E(Y₁ elsewhere equal error evidence to indicate Example expected value experiment exponential distribution Figure Find the expected Find the probability function for Y₁ gamma distribution integration joint density function joint probability Let Y₁ linear mean and variance measurements method moment-generating function n₁ normally distributed null hypothesis observed obtained p-value Poisson distribution probability density function probability distribution probability function proportion randomly selected Refer to Exercise rejection region result sample mean sample points Section Show Solution standard deviation standard normal sufficient evidence sufficient statistic Suppose test statistic unbiased estimator uniform distribution variance o² x2 distribution Y₁ and Y2 Y₂ Y2 are independent Yn denote