Lecture Business statistics

Lecture Business research methods (12/e) - Chapter 16: Exploring, displaying, and examining data. After studying this chapter you will be able to understand: That exploratory data analysis techniques provide insights and data diagnostics by emphasizing visual representations of the data; how cross-tabulation is used to examine relationships involving categorical variables, serves as a framework for later statistical testing, and makes an efficient tool for data visualization and later decision-making.

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Lecture Business research methods (12/e) - Appendix 15A: Describing data statistically. This chapter presents the steps necessary to prepare data for data analysis. This chapter presents the following content: Frequencies, distributions, characteristics of distributions, measures of central tendency,...

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Lecture Business research methods (12/e) - Chapter 17: Hypothesis testing. After studying this chapter you will be able to understand: The nature and logic of hypothesis testing, a statistically significant difference, the six-step hypothesis testing procedure, the differences between parametric and nonparametric tests and when to use each, the factors that influence the selection of an appropriate test of statistical significance, how to interpret the various test statistics.

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Lecture Business statistics - Chapter 1: Data and statistics. The main topics covered in this chapter include: statistics in practice; applications in business and economics; data; data sources; descriptive statistics; statistical inference; computers and statistical analysis;... Please refer to the lecture for details!

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Lecture Business statistics - Chapter 2: Descriptive statistics tabular and graphical presentations. The main topics covered in this chapter include: statistics in practice; summarizing qualitative data; summarizing quantitative data; cross-tabulations and scatter diagrams;... Please refer to the lecture for details!

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Lecture Business statistics - Chapter 3: Descriptive statistics - Numerical measures. The main topics covered in this chapter include: measures of location; measures of variability; measures of distributional shape, relative location and detecting outliers; exploratory data analysis; measures of association between two variables;... Please refer to the lecture for details!

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Lecture Business statistics - Chapter 4: Introduction to probability. The main topics covered in this chapter include: statistics in practice; experiments, event and their probabilities; some basic relationships of probability;... Please refer to the lecture for details!

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Lecture Business statistics - Chapter 5: Discrete probability distributions. The main topics covered in this chapter include: statistics in practice; random variables; discrete probability distributions; expected value and variance; binomial probability distribution;... Please refer to the lecture for details!

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Lecture Business statistics - Chapter 6: Continuous probability distributions. The main topics covered in this chapter include: uniform probability distribution; mean and variance of uniform probability distribution; normal probability distribution; standard normal probability distribution;... Please refer to the lecture for details!

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Lecture Introduction to Business: Lesson 37. The main topics covered in this lesson include: total quality management, quality control system, quality assurance system, prominent features of dr. demming’s 14 points, human resource management for total quality management, statistical process control,...

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After studying this chapter you will be able to: define and calculate the mean, explain and calculate a weighted mean, define and calculate the median, define and identify the mode, prepare a frequency distribution, prepare bar, line, and circle graphs, calculate price relatives and cost comparisons, explain and calculate the range, define and calculate the standard deviation, estimate percentage of data by using standard deviations.

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After studying this chapter you will be able to understand: What a market basket is and why it’s important? How to calculate and use a price index? How to identify challenges the Bureau of Labor Statistics (BLS) faces when measuring inflation? How the BLS responds to these challenges?...

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Lecture 23 - Plagiarism and referencing. After studying this chapter you will be able to understand: What is plagiarism? Examples of plagiarism, terminology: copyright, legal implications, what are the purposes of referencing? What should be referenced?

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Chapter 22 - Business statistics. After you have mastered the material in this chapter, you will be able to: Define and calculate the mean, explain and calculate a weighted mean, define and calculate the median, define and identify the mode, prepare a frequency distribution, prepare bar, line, and circle graphs, calculate price relatives and cost comparisons, explain and calculate the range, define and calculate the standard deviation, estimate percentage of data by using standard deviations.

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Lecture notes in Macroeconomic and financial forecasting include all of the following: Elementary statistics, trends and seasons, forecasting, time series analysis, overview of macroeconomic forecasting, business cycle facts, data quality, survey data and indicators, using financial data in macroeconomic forecasting, macroeconomic models,...

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Chapter 2 - Describing data: Frequency tables, frequency distributions, and graphic presentation. After completing this unit, you should be able to: Organize qualitative data into a frequency table, present a frequency table as a bar chart or a pie chart, organize quantitative data into a frequency distribution, present a frequency distribution for quantitative data using histograms, frequency polygons, and cumulative frequency polygons.

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Chapter 1: What is statistics? When you have completed this chapter, you will be able to: List ways that statistics is used, know the differences between descriptive and inferential statistics, understand the differences between a sample and a population, explain the difference between qualitative and quantitative variables, compare the discrete and continuous variables, recognize the levels of measurement in data.

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The goals of this chapter are: Discuss environmental analysis and two types of market screening, explain market indicators and market factors, describe some statistical techniques for estimating market demand and grouping similar markets, discuss the value to businesspeople of trade missions and trade fairs,…

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Chapter 3 - Describing data: Numerical measures. Learning objectives of this chapter include: Calculate the arithmetic mean, weighted mean, median, mode, and geometric mean; explain the characteristics, uses, advantages, and disadvantages of each measure of location; identify the position of the mean, median, and mode for both symmetric and skewed distributions; compute and interpret the range, mean deviation, variance, and standard deviation

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Chapter 4 - Describing data: Displaying and exploring data. After studying this chapter you will be able to: Construct and interpret a dot plot, identify and compute measures of position, construct and analyze a box plot, compute and describe the coefficient of skewness, create and interpret a scatter diagram, develop and explain a contingency table.

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