Statistics13th EditionMCCLAVE, James T., Sincich, Terry Publisher: PEARSONISBN: 9780135820100
Statistics
Solutions for Statistics
Problem 73UP:
What is the range of data set?
Problem 78LM:
2.58 Calculate the variance and standard deviation for samples where
n = 10,
∑x2 = 84,
∑x = 20
n =...Problem 81LM:
2.62 Using only integers between 0 and 10, construct two data sets with at least 10 observations...Problem 83LM:
2.63 Consider the following sample of five measurements: 2, 1, 1, 0, 3.
Calculate the range, s2, and...Problem 2.4AE:
Use the applet entitled Standard Deviation to find the standard deviation of each of the four data...Problem 2.5AE:
Use the applet Standard Deviation to study the effect that multiplying or dividing each number in a...Problem 2.6AE:
Use the applet Standard Deviation to study the effect that an extreme value has on the standard...Problem 85ACB:
Shell lengths of sea turtles. Aquatic Biology (Vol. 9, 2010) reported on a study of green sea...Problem 86ACB:
Shaft graves in ancient Greece. Refer to the American Journal of Archaeology (Jan. 2014) study of...Problem 87ACB:
Music performance anxiety. Refer to the British Journal of Music Education (Mar. 2014) study of...Problem 88ACI:
Characteristics of a rockfall. Refer to the Environmental Geology (Vol. 58, 2009) study of how far a...Problem 89ACI:
2.68 Is honey a cough remedy? Refer to the Archives of Pediatrics and Adolescent Medicine (December...Problem 90ACI:
2.65 Permeability of sandstone during weathering. Refer to the Geographical Analysis (Vol. 42, 201...Browse All Chapters of This Textbook
Chapter 1 - Statistics, Data, And Statistical ThinkingChapter 2 - Methods For Describing Sets Of DataChapter 2.1 - Describing Qualitative DataChapter 2.2 - Graphical Methods For Describing Quantitative DataChapter 2.3 - Numerical Measures Of Central TendencyChapter 2.4 - Numerical Measures Of VariabilityChapter 2.5 - Using The Mean And Standard Deviation To Describe DataChapter 2.6 - Numerical Measures Of Relative StandingChapter 2.7 - Methods For Detecting Outliers: Box Plots And Z-scoresChapter 2.8 - Graphing Bivariate Relationships (optional)
Chapter 2.9 - Distorting The Truth With Descriptive TechniquesChapter 3 - ProbabilityChapter 3.1 - Events, Sample Spaces, And ProbabilityChapter 3.4 - The Additive Rule And Mutually Exclusive EventsChapter 3.6 - The Multiplicative Rule And Independent EventsChapter 3.7 - Some Additional Counting Rules (optional)Chapter 3.8 - Bayes's RuleChapter 4 - Discrete Random VariablesChapter 4.1 - Two Types Of Random VariablesChapter 4.2 - Probability Distributions For Discrete Random VariablesChapter 4.3 - Expected Values Of Discrete Random VariablesChapter 4.4 - The Binomial DistributionChapter 4.5 - The Poisson Random Variable (optional)Chapter 4.6 - The Hypergeometric Random Variable (optional)Chapter 5 - Continuous Random VariablesChapter 5.2 - The Uniform DistributionChapter 5.3 - The Normal DistributionChapter 5.4 - Descriptive Methods For Assessing NormalityChapter 5.5 - Approximating A Binomial Distribution With A Normal Distribution (optional)Chapter 5.6 - The Exponential Distribution (optional)Chapter 6 - Sampling DistributionsChapter 6.1 - The Concept Of A Sampling DistributionChapter 6.2 - Properties Of Sampling Distributions: Unbiasedness And Minimum VarianceChapter 6.3 - The Sampling Distribution Of The Sample Mean And The Central Limit TheoremChapter 6.4 - The Sampling Distribution Of The Sample ProportionChapter 7 - Inferences Based On A Single Sample: Estimation With Confidence IntervalsChapter 7.2 - Confidence Interval For A Population Mean: Normal (z) StatisticChapter 7.3 - Confidence Interval For A Population Mean: Student's T-statisticChapter 7.4 - Large-sample Confidence Interval For A Population ProportionChapter 7.5 - Determining The Sample SizeChapter 7.6 - Confidence Interval For A Population VarianceChapter 8 - Inferences Based On A Single Sample: Tests Of HypothesesChapter 8.2 - Formulating Hypotheses And Setting Up The Rejection RegionChapter 8.3 - Observed Significance Levels: P-valuesChapter 8.4 - Test Of Hypothesis About A Population Mean: Normal (z) StatisticChapter 8.5 - Test Of Hypothesis About A Population Mean: Student's T-statisticChapter 8.6 - Large-sample Test Of Hypothesis About A Population ProportionChapter 8.7 - Calculating Type Ii Error Probabilities: More About β (optional)Chapter 8.8 - Test Of Hypothesis About A Population Variance (optional)Chapter 9 - Inferences Based On Two Samples: Confidence Intervals And Tests Of HypothesesChapter 9.2 - Comparing Two Population Means: Independent SamplingChapter 9.3 - Comparing Two Population Means: Paired Difference ExperimentsChapter 9.4 - Comparing Two Population Proportions: Independent SamplingChapter 9.5 - Determining The Required Sample SizeChapter 9.6 - Comparing Two Population Variances: Independent SamplingChapter 10 - Analysis Of Variance: Comparing More Than Two MeansChapter 10.1 - Elements Of A Designed ExperimentChapter 10.2 - The Completely Randomized Design: Single FactorChapter 10.3 - Multiple Comparisons Of MeansChapter 10.4 - The Randomized Block DesignChapter 10.5 - Factorial Experiments: Two FactorsChapter 11 - Simple Linear RegressionChapter 11.1 - Probabilistic ModelsChapter 11.2 - Fitting The Model: The Least Squares ApproachChapter 11.3 - Model AssumptionsChapter 11.4 - Assessing The Utility Of The Model: Making Inferences About The SlopeChapter 11.5 - The Coefficients Of Correlation And DeterminationChapter 11.6 - Using The Model For Estimation And PredictionChapter 11.7 - A Complete ExampleChapter 12 - Multiple Regression And Model BuildingChapter 12.3 - Evaluating Overall Model UtilityChapter 12.4 - Using The Model For Estimation And PredictionChapter 12.5 - Interaction ModelsChapter 12.6 - Quadratic And Other Higher-order ModelsChapter 12.7 - Qualitative (dummy) Variable ModelsChapter 12.8 - Models With Both Quantitative And Qualitative VariablesChapter 12.9 - Comparing Nested ModelsChapter 12.10 - Stepwise RegressionChapter 12.12 - Some Pitfalls: Estimability, Multicollinearity, And ExtrapolationChapter 13 - Categorical Data AnalysisChapter 13.2 - Testing Categorical Probabilities: One-way TableChapter 13.3 - Testing Categorical Probabilities: Two-way (contingency)tableChapter 14 - Nonparametric Statistics (available Online)Chapter 14.2 - Single Population InferencesChapter 14.3 - Comparing Two Populations: Independent SamplesChapter 14.4 - Comparing Two Populations: Paired Difference ExperimentChapter 14.5 - Comparing Three Or More Populations: Completely Randomized DesignChapter 14.6 - Comparing Three Or More Populations: Randomized Block DesignChapter 14.7 - Rank Correlation
Sample Solutions for this Textbook
We offer sample solutions for Statistics homework problems. See examples below:
Statistics: Statistics is defined as the ‘science of data’, which deals with collection,...Variability: Measure of variability infers the amount of dispersion in the dataset, it defines the...Event A denotes that the Team T wins the World Series next year and event B denotes that Person E...The random variable is “The length of time that an exercise physiologist’s program takes to elevate...Calculation: The distribution of the random variable X is, f(x)=e−x77 , (x>0) Exponential...Sampling distribution of x¯: When a random sample of size n is selected from a population that is...The statement is “We are 95% confident that the proportion of all PCs with a computer virus falls...Under null hypothesis the probability of getting the test statistic as extreme as observed is...For the z-statistic of the difference of two means to be valid, the following assumptions are...
Difference between one way ANOVA and two way ANOVA: One way ANOVA is used to test the significant...Difference between a probabilistic model and a deterministic model: Probabilistic model: The...Calculation: In general for a model relating to E(y) one qualitative independent variable with k...It is given that if the null hypothesis is rejected then there is a causal relationship between the...Nonparametric tests: When the distribution of population is not known or when the population...
More Editions of This Book
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Statistics, 11th Edition (book & Cd)
11th Edition
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Student Solutions Manual For Statistics
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Statistics >custom<
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Statistics
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Graphing Calculator Manual For Statistics
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Statistics
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Statistics (student Solutions Manual)
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Mind Tickling Brainteasers (a Reward Book)
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