» Sampling Distributions 181 Normal Approximation to the Binomial 191 » A Continuous Probability Distribution: The Normal Distribution 171 Random Sampling 178 » Two Discrete Random Variables: The Binomial and the Poisson 158 Probability Distributions for Continuous Random Variables 168 » Variables: Discrete and Continuous 155 Probability Distributions for Discrete Random Variables 157 » Conditional Probability and Independence 149 Bayes’ Formula 152 » Finding the Probability of an Event 144 Basic Event Relations and Probability Laws 146 » Summary and Key Formulas 116 Introduction and Abstract of Research Study 140 » Summarizing Data from More Than One Variable: Graphs Research Study: Controlling for Student Background in the » Describing Data on a Single Variable: Measures of Variability 85 The Boxplot 97 » Describing Data on a Single Variable: Graphical Methods 62 Describing Data on a Single Variable: Measures of Central Tendency 78 » Introduction and Abstract of Research Study 56 Calculators, Computers, and Software Systems 61 » Summary 47 Exercises 48 Lyman Ott Michael Longnecker » Designs for Experimental Studies 35 Research Study: Exit Polls versus Election Results 46 » Sampling Designs for Surveys 24 Experimental Studies 30 » Introduction and Abstract of Research Study 16 Observational Studies 18 » Summary 13 Exercises 13 Lyman Ott Michael Longnecker » Some Current Applications of Statistics 8 A Note to the Student 12 » Lyman Ott Michael Longnecker An Introduction to Statistical Methods and Data Analysis 6th Edition Brooks Cole(2010) Compute approximate values for and s from the grouped expenditure data. Construct a relative frequency histogram. 3.53 Per capita expenditure dollars for health and hospital services by state are shown here.Ī. Are these states different from the states in this group during 1996? Similarly identify those states that fall into the upper 10th percentile of homeownership Which states fall into the upper 10th percentile of homeownership rates?Ĭ. Congress wants to designate those states that have the highest homeownership percent-Īge in 1996. Find the 20th percentile for the homeownership percentage and interpret this valueī. 3.52 Using the homeownership data in Exercise 3.11, construct a quantile plot for both years.Ī. Which measure of central tendency would you use to describe the center of the distri-ģ.51 Refer to the data of Exercise 3.49. Compute the sample median and the mode.ī. The murder rate number of murders per 100,000 people was recorded, and these data are summarized in the following frequency table.ħ Construct a relative frequency histogram for these data.ģ.50 Refer to the data of Exercise 3.49. 3.49 A random sample of 90 standard metropolitan statistical areas SMSAs was studied to The Empirical Rule to the transformed data and verify that it yields more accurate results than it did with the original data. Is the shape more mound-shaped than the original data? Apply Replace the given 41 T values with the logarithm base 10 of the values and reconstruct the relativeįrequency histogram. A transformation of the data will sometimes achieve this shape. Data analysts often find it easier to work with mound-shaped relative frequency his. Verify this statement for the data given.ĭ. Rule may not yield very accurate results. When the relative frequency histogram is highly skewed to the right, the Empirical Draw a relative frequency histogram for the 41 values of T. The following table contains 41 measurements of transmissivity, T, made at the pilot facility.Ī. Thickness of an aquifer that reflects the rate at which water is transmitted through the aquifer. Recent focus has been on the analysis of transmissivity, a function of the properties and the That one potential pathway for release of radionuclides is through contaminant transport in ground- water. 3.48 The paper “Conditional simulation of waste-site performance” discusses the evaluation of a pilot facility for demonstrating the safe management, storage, and disposal of defense-generated, radioactive, transuranic waste. Are there any “unusual” brands in the data?Įnv. What factors may explain why the ratio of price per roll to number of sheets is notģ.47 Construct boxplots for both price per roll and number of sheets per roll. If not, is there any other relation between the two prices?Ĭ. Do the 24 points appear to fall on a straight line? b. Use a scatterplot to plot the price per roll and number of sheetsĪ. In your comparison in part b, should you use s or CV? Justify your answer. Which is more variable, price per roll or price per sheet?Ĭ. Compute the standard deviation for both the price per roll and the price per sheet.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |