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What is Business Statistics Assignment Help?
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Statistics is known to be the mathematical body of science, which pertains to the analysis, collection, explanation, or interpretation, and presentation of the data or as a branch of mathematics that is concerned with gathering and interpreting data. Due to its empirical root and its emphasis on applications, statistics typically is considered as a distinct mathematical science instead of as the branch of mathematics.
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Statistics is about data compilation, interpretation, and presentation. For example, a study conducted by you offers you lots of data; however, presenting them in an extremely impressive method after coming with obvious interpretations is actually what makes you shine in the huge crowd. Lots of vigilant thinking goes into this presentation and interpretation. Experts at TutorDollar have years of experience in providing the most excellent statistics assignment help solutions to students of all levels.
Our statistics assignment helps experts who are extremely skilled at the investigation of numbers that is the central topic of any statistics topic. Statistics generally is considered as a mathematical subject; however, it depends on the individual how he wishes to approach compiled data. The quality comes with many years of experience. We at TutorDollar believe that you must get benefit by of their experience of our statistics assignment help experts. It’ll not just improve your grade, but make you learn to see the data from a different angle.
In the statistics assignments, one of the toughest works is to present conclusions in an extremely impressive way. To offer the conclusions, you’ll require reaching them through data collection, analysis, and interpretation.
Topics we cover:
We are quick, efficient, and inexpensive. You will get whatever you wish for at one place at TutorDollar. Ensure that you get your assignments done from us so that you obtain the best packages at the cheapest prices. Our Statistics assignment help experts are ready to help you with topics like MATH 353- 301,MAYMESTER - 2021,Sampling and Data, Descriptive Statistics, Probability Topics, Discrete Random Variables, Continuous Random Variables, The Normal Distribution, The Central Limit Theorem, Confidence Intervals, Hypothesis Testing with One Sample, Hypothesis Testing with Two Samples, The Chi-Square Distribution, F Distribution and One-Way ANOVA, Linear Regression and Correlation, Definitions of Statistics, Probability, and Key Terms, Data, Sampling, and Variation in Data and Sampling, Levels of Measurement, Experimental Design and Ethics, Display Data, Measures of the Location of the Data, Measures of the Center of the Data, Sigma Notation and Calculating the Arithmetic Mean, Geometric Mean, Skewness and the Mean, Median, and Mode, Measures of the Spread of the Data, Terminology, Independent and Mutually Exclusive Events, Two Basic Rules of Probability, Contingency Tables and Probability Trees, Venn Diagrams, Hypergeometric Distribution, Binomial Distribution, Geometric Distribution, Poisson Distribution, Properties of Continuous Probability Density Functions, The Uniform Distribution, The Exponential Distribution, The Standard Normal Distribution, Using the Normal Distribution, Estimating the Binomial with the Normal Distribution, The Central Limit Theorem for Sample Means, Using the Central Limit Theorem, The Central Limit Theorem for Proportions, Finite Population Correction Factor, A Confidence Interval for a Population Standard Deviation, Known or Large Sample Size, A Confidence Interval for a Population Standard Deviation Unknown, Small Sample Case, A Confidence Interval for A Population Proportion, Calculating the Sample Size n: Continuous and Binary Random Variables, Null and Alternative Hypotheses, Outcomes and the Type I and Type II Errors, Distribution Needed for Hypothesis Testing, Full Hypothesis Test Examples, Comparing Two Independent Population Means, Cohen's Standards for Small, Medium, and Large Effect Sizes, Test for Differences in Means: Assuming Equal Population Variances, Comparing Two Independent Population Proportions, Two Population Means with Known Standard Deviations, Matched or Paired Samples, Facts About the Chi-Square Distribution, Test of a Single Variance, Goodness-of-Fit Test, Test of Independence, Test for Homogeneity, Comparison of the Chi-Square Tests, Test of Two Variances, One-Way ANOVA, The F Distribution and the F-Ratio, Facts About the F Distribution, The Correlation Coefficient r, Testing the Significance of the Correlation Coefficient, Linear Equations, The Regression Equation, Interpretation of Regression Coefficients: Elasticity and Logarithmic Transformation, Predicting with a Regression Equation, How to Use Microsoft Excel® for Regression Analysis,The subject of statistics; frequency distributions; dot plots; bar charts; histograms; frequency polygons; stem-and-leaf plots; time series graphs; pie charts; Pareto charts ,Measures of position; how to compute these measures and investigate some of their properties; z-score or standard score; percentiles; outliers; box plots,Relative frequency probability; Law of Large Numbers; the Addition Rule in probability; conditional probability; Multiplication Rule in probability; independence in probability, The normal probability distribution; the standard normal probability distribution; z scores; probability associated with any normal probability distribution; normal approximation to the binomial distribution.
Books we cover:
- Introduction to Business Statistics | 7th Edition Ronald M. Weiers
- Business Statistics: For Contemporary Decision Making, 3rd Canadian Edition Ken Black, Tiffany Bayley, Ignacio Castillo
- Essentials of Statistics for Business and Economics with Data Files CD-ROM 3rd Edition by David R. Anderson (Author), Dennis J. Sweeney (Author), Thomas A. Williams (Author)
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