1,001 statistics practice problems for dummies /
1,001 statistics practice problems for dummies /
Statistics for dummies One thousand one statistics practice problems for dummies One thousand and one statistics practice problems for dummies 1,001 practice problems : statistics for dummies Statistics for dummies
[executive editor, Lindsay Sandman Lefevere].
- x, 488 pages : illustrations ; 26 cm.
- For dummies .
- For dummies. .
Includes index.
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 -- 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.
1001 practice statistics problems with answers and solution explanations.
9781118776049 (pbk.) 1118776046 (pbk.)
2013954236
Statistics--Problems, exercises, etc.
MATHEMATICS / Probability & Statistics / General.
Statistics.
Problems, exercises, etc.
QA276.2 / .A16 2014
519.5/076
Includes index.
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 -- 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.
1001 practice statistics problems with answers and solution explanations.
9781118776049 (pbk.) 1118776046 (pbk.)
2013954236
Statistics--Problems, exercises, etc.
MATHEMATICS / Probability & Statistics / General.
Statistics.
Problems, exercises, etc.
QA276.2 / .A16 2014
519.5/076