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Business Mathematics & Statistics - MTH302 - VU Video Lectures

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Course overview.
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Applications of basic mathematics, Different course modules, Basic arithmetic operations, Starting microsoft (MS) excel, Using ms excel to carry out arithmetic operations.
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Evaluations, Calculate gross earnings Using microsoft excel.
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Calculating simple or weighted averages using microsoft excel.
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Basic calculations of percentages, salaries and investments using microsoft excel.
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Discount, Simple and compound interest, Average due date, Interest on drawings and calen.
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Annuity, Accumulated value, Accumulation factor, Discount factor, Discounted value, Algebraic operations, Exponents, Solving linear equations.
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Compound Interest, Calculate returns from investments, Annuities, Excel functions.
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Matrix and its dimension,Types of matrix.
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Matrix functions in Excel,Set up and manipulate ratios,Allocate an amount on a prorata basis using proportions.
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128 Views
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Ratio and Proportions, Merchandising.
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Solve merchandising pricing problems involving markup and markdown.
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Financial mathematics part 1.
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Financial mathematics part 2.
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Financial mathematics part 3, Markup and Markdown.
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Financial mathematics,Introduction to linear equations.
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Solve two linear equations with two unknowns.
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Perform break-even analysis,Ms excel financial functions.
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137 Views
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Excel function for financial analysis.
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Perform linear cost-volume profit and break-even analysis Using the contribution margin approach.
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Perform linear cost-volume Profit and break-even analysis using microsoft excel.
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Statistical data representation.
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Statistical representation, Measures of central tendency.
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Measures of central tendency, Arithmetic mean, Geometric mean, Harmonic mean, Weighted mean, Median, Mode.
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Statistical representation, Measures of dispersion and Skewness, Cumulative frequency.
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Measures of dispersion, Range, Quartile deviation, Mean deviation, Standard deviation or Variance.
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130 Views
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Measures of dispersion, Correlation, Regression analysis.
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Correlation, Simpel linear correlation, Correlation coefficient.
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Line fitting, Slop, Intercept.
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Types of regression: Simple linear regression, Population linear regression.
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Simple linear regression, Time series and exponential smoothing.
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Time series and exponential smoothing, Trend, Seasonal variations.
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Factorials, Permutations and Combinations.
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Combinations, Elementary probability, Difference between combination and permutation, Binomial expression, Coefficients of the binomial expansion.
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Elementary probability, Probability.
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Patterns of probability, Binomial, Poisson and Normal distributions.
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Cumulative binomial probabilities, Negative binomial distribution.
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Poisson distribution, Cumulative Poisson distribution.
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Normal distribution, Cumulative normal frequency distribution.
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Estimating from samples: Inference.
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Hypothesis testing.
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Student’s T-distribution, Chi-square distribution.
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Planning production levels: Linear programming.