By Richard L. Scheaffer
This ebook offers a set of hands-on actions for college kids taking introductory information, and is designed to have interaction the scholar as a player within the studying technique. meant as a lab guide and arranged round the significant themes coated in such a lot introductory classes, this publication includes extra actions than can in all probability be coated in a single direction, permitting flexibility for person path standards. Packaged in a cheap paperback layout, the pages are perforated and 3-hole punched for simple elimination of person actions. The 50+ experiments, types, and simulations integrated during this booklet are defined succinctly, giving scholars a transparent description of the actions with no additional interpreting. Many actions have compatibility with know-how.
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Extra resources for Activity-Based Statistics: Student Guide
Question On the basis of the regression line, predict the divorce rate for a country with a mar~ riage rate of 8 per 1,000. How much conviction do you have in this prediction? Objective In this activity, you will learn how one point can influence the correlation coeffi~ cient and regression line. Activity 1. Match each of the five scatter plots to the description of its regression line and correlation coefficient. The scales on the axes of the scatter plots are the same. a. 4x b. Sx c. 96, d. 83, e.
You have used three,point and five,point moving averages to smooth the time, series. State the advantages and disadvantages of the five,point average over the three,point average. 2. Time series are often used to forecast future values. Can these series give very ex, act forecasts? Why not? 3. Could the higher than average temperatures in the last 20 years h ave been due entirely to chance? You can check that out by doing a simulation where the chance of the average temperature being above or below the century mean is 1/2.
NDP - 019/R 1. Carbon Dioxide Information Analysis Center. Oak Ridge Nationa laboratory. Oak Ridge, Tennessee. Wrap-Up Time series data on productivity, unemployment and other economic statistics play an important role in assessing the state of the economy and formulating public policy. Graphs of such data can be particularly helpful in understanding how the data has changed over time. However, as you saw in Figure 1, the short term fluctuations made it difficult to observe the long term drift in the data.
Activity-Based Statistics: Student Guide by Richard L. Scheaffer