1,001 statistics practice problems for dummies / [executive editor, Lindsay Sandman Lefevere].

Other author Lefevere, Lindsay Sandman.
Format Electronic
Publication InfoHoboken, NJ : John Wiley & Sons, [2014]
Descriptionx, 488 pages : illustrations ; 26 cm.
Supplemental ContentFull text available from Ebook Central - Academic Complete
Subjects
Statistics--Problems, exercises, etc.

Cover title Statistics for dummies
Variant title One thousand one statistics practice problems for dummies
Variant title One thousand and one statistics practice problems for dummies
Cover title 1,001 practice problems : statistics for dummies
Spine title Statistics for dummies
SeriesFor dummies
--For dummies. ^A417595
Contents pt. I. The questions -- 1. Basic vocabulary -- Picking out the population, sample, parameter, and statistic -- Distinguishing quantitative and categorical variables -- Getting a handle on bias, variables and the mean -- Understanding different statistics and data analysis terms -- Using statistical techniques -- Working with the standard deviation -- 2. Descriptive statistics -- Understanding the mean and the median -- Surveying standard deviation and variance -- Employing the Empirical Rule -- Measuring relative standing with percentiles -- Delving into data sets and descriptive statistics -- 3. Graphing -- Interpreting pie charts -- Considering three-dimensional pie charts -- Interpreting bar charts -- Introducing other graphs -- Interpreting histograms -- Describing the center of a distribution -- Interpreting box plots -- Interpreting time charts -- 4. Random variables and the binomial distribution -- Comparing discrete and continuous random variables -- Understanding the probability distribution of a random variable -- Determining the mean of a discrete random variable -- Working with the variance of a discrete random variable -- Putting together the mean, variance, and standard deviation of a random variable -- Introducing binomial random variables -- Figuring out the mean, variance, and standard deviation of a binomial random variable -- Finding binomial probabilities with a formula -- Finding binomial probabilities with the binomial table -- Using the normal approximation to the binomial -- 5. The normal distribution -- Working with z-Scores and values of X -- Writing probability notations -- Introducing the Z-Table -- Finding probabilities for a normal distribution -- Digging deeper into z-Scores and probabilities -- Figuring out percentiles for a normal distribution -- 6. The t-Distribution -- Understanding the t-Distribution and comparing it to the Z-Distribution -- Using the t-Table -- Using the t-Distribution to calculate confidence intervals -- 7. Sampling distribution and the central limit theorem -- The basics of sampling distributions -- checking out random variables and sample means -- Examining standard error -- Surveying notation and symbols -- Understanding what affects standard error -- Connecting sample means and sampling distributions -- Looking at the Central Limit Theorem -- Sample mean calculations -- Finding probabilities for sample means -- Adding proportions to the mix -- Figuring out the standard error of the sample proportion -- Using the Central Limit theorem for proportions -- Matching z-Scores to sample proportions -- Finding approximate probabilities -- 8. Finding room for a margin of error -- Defining and calculating margin of error -- Using the formula for margin of error when estimating a population mean -- Finding appropriate z*-Values for given confidence levels -- Connecting margin of error to sample size -- Linking margin of error and population proportion --
Contents 9. Confidence intervals: basics for single population means and proportions -- Introducing confidence intervals -- Components of confidence intervals -- Interpreting confidence intervals -- Spotting misleading confidence intervals -- Calculating a confidence interval for a population mean -- Determining the needed sample size -- Population proportion -- Connecting a population proportion to a survey -- Calculating a confidence interval for a population proportion -- 10. Confidence intervals for two population means and proportions -- Working with confidence intervals and population proportions -- Working with confidence intervals and population means -- Making calculations when population standard deviations are known -- Working with unknown population standard deviations and small sample sizes -- 11. Claims, tests, and conclusions -- Knowing when to use a hypothesis test -- Setting up null and alternative hypotheses -- Finding the test statistic and the p-Value -- Making decision based on alpha levels and test statistics -- Making conclusions -- Understanding type I and type II errors -- 12. Hypothesis testing basics for a single population mean: z- and t-Tests -- What you need to run a z-Test -- Determining null and alternative hypotheses -- Introducing p-Values -- Calculating the z-Test statistic -- Finding p-Values by doing a test of one population mean -- Drawing conclusion about hypotheses -- Knowing when to use a t-Test -- Connecting hypotheses to t-Tests -- Calculating test statistics -- Working with critical values of t -- Linking p-Values and t-Tests -- Drawing conclusion from t-Tests -- Performing a t-Test for a single population mean -- 13. Hypothesis tests for one proportion, two proportions, or two population means -- Comparing two independent population means -- Using the paired t-Test -- Comparing two population proportions -- 14. Surveys -- Planning and designing surveys -- Selecting samples and conducting surveys -- 15. Correlation -- Scatter plots -- Correlations -- 16. Simple linear regression -- Introducing the regression line -- Knowing the conditions for regression -- Examining the equation for calculating the least-squares regression line -- Finding the slope and y-intercept of a regression line -- Seeing how variables can change in a regression line -- Finding a regression line -- Connecting to correlation and linear relationships -- Determining whether variables are candidates for a linear regression analysis -- Describing linear relationships -- Making predictions -- Figuring out expected values and differences -- 17. Two-way tables and independence -- Introducing variables and two-way tables -- Reading a two-way table -- Interpreting a two-way table by using percentages -- Interpreting a two-way table by using counts -- Connecting conditional probabilities to two-way tables -- Investigating independent variables -- Calculating marginal probability and more -- Adding joint probability into the mix -- Conditional and marginal probabilities -- Figuring out the number of cells in a two-way table -- Including conditional probability -- Research designs -- pt. II. The answers -- 18. Answers -- Appendix : Tables for reference.
Abstract 1001 practice statistics problems with answers and solution explanations.
General noteIncludes index.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Genre/formElectronic books.
LCCN 2013954236
ISBN9781118776049 (pbk.)
ISBN1118776046 (pbk.)

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