StatisticsThis resource emphasizes statistical inference and sound decision-making through its extensive coverage of data collection and analysis. As in earlier editions, it helps develop statistical thinking and promotes inference assessment- from the vantage point of both the consumer and the producer. Includes new Three-phased Examples that contain three components: "problem," "solution," and "look back." Provides Now Work exercises that follow each example, suggesting an end-of-section exercise that is similar in style and concept to the example. Offers new Chapter Summary Notes along with end-of- chapter material. Provides new Critical Thinking Challenges.A comprehensive resource for anyone who needs to improve their understanding of statistics. |
Contents
Statistics Data and Statistical Thinking | 2 |
CHAPTER | 12 |
Methods for Describing Sets of Data | 30 |
Copyright | |
21 other sections not shown
Common terms and phrases
ANOVA Applying the Concepts-Basic Applying the Concepts-Intermediate approximately normal Arrow assigned Assume binomial random variable box plot brand Calculate completely randomized design confidence interval data set discrete random variable equal error estimate event example Exercise experiment experimental units F-test factors female Find P(x Find the probability frequency histogram graph histogram inference Journal Learning the Mechanics male mean and standard median method mileage MINITAB n₁ normal distribution normal probability Note null hypothesis observed Options outliers p-value P(ANB pairs parameter patients percentage percentile player Poisson population mean Press ENTER printout probability distribution Problem proportion quantitative random sample randomly selected rejection region relative frequency researchers Rule sample mean sample points sample space sample statistic sampling distribution scores shown in Figure standard deviation standard normal Statistics in Action stem-and-leaf summary Suppose survey Table test statistic tion treatment means variance z-score