Business description

Lectures "Applied statistics for business - Chapter 1: Data and statistics" provides students with the knowledge: Applications in business and economics, data, data sources, descriptive Statistics, statistical Inference, computer and statistical analysis, data mining, ethical guidelines for statistical practice. Invite you to refer to the disclosures.

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This thesis examines the influence of Selection Performance, Monitoring and Business Assistance Intensity, Resource Allocation, and Professional Management Services on business incubation performance. This study extends current research by investigating an additional construct which examines targeted areas of professional management services including marketing and promotion, strategic management, financial management, and staff and personnel management.

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This search resulted in the development of a practical software tool based on animated Venn diagrams (Dvenn) that attempted to exploit the inherent human ability to perceive quantities visually, a faculty described herein as visual numeracy. The exploitation of this faculty is considered here to be a valuable aid for group understanding of business presentation data. The development of the tool was an essential part of the research that was undertaken and the resulting software forms a significant portion of this practise based research.

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The rationale for this study is that the social enterprise sector provides an important locale in which to situate research that aims to identify the impact of ICTs on development. Recognising the complex dynamics and range of actors involved in this diverse and emerging area of development practice, this study chooses to focus on the social enterprise sector. It is specifically concerned with mapping the external influences, use and impact of ICT on social enterprises in Cambodia.

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We are looking for a highly organised, determined and passionate Marketing Executive to join our busy Marketing team. The Marketing Executive will be providing support to implement the marketing strategy for Bounce and reporting to the Marketing Manager on all marketing tasks. This role requires meticulous time management and the ability to deliver various tasks within deadlines. If you’re looking for a challenge and working for an innovative brand that has an exciting future then send your application in!

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In conjunction with the managing director, the business development officer is responsible for developing marketing and business plans for the achievement of revenue goals for a company. His/she job description also entails participating in media communication activities for the company; these activities include marketing press releases, websites, and advertisements. The position of the business development officer is a result oriented role. He/she is responsible for understanding the trends in his/her company’s field of specialty; knowing the people that matter in such fields.

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What does a Business Development Manager do? Primarily they are tasked with developing and diversifying business so that income increases, and the future and growth of the organization are guaranteed. A Business Development Manager job description should ask for a range of skills and capacities that center on the best strategic and financial outcomes for the organization. When writing the Business Development Manager job description, suitable candidates may come from a range of industries.

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Chapter 1 - An introduction to business statistics. After mastering the material in this chapter, you will be able to: Define a variable, describe the difference between a quantitative variable and a qualitative variable, describe the difference between crosssectional data and time series data, construct and interpret a time series (runs) plot,...

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Chapter 2 - Descriptive statistics: Tabular and graphical methods. After mastering the material in this chapter, you will be able to: Summarize qualitative data by using frequency distributions, bar charts, and pie charts; construct and interpret Pareto charts (Optional); summarize quantitative data by using frequency distributions, histograms, frequency polygons, and ogives;...

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Chapter 5 - Discrete random variables. After mastering the material in this chapter, you will be able to: Explain the difference between a discrete random variable and a continuous random variable, find a discrete probability distribution and compute its mean and standard deviation, use the binomial distribution to compute probabilities,...

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Chapter 3 - Descriptive statistics: Numerical methods. After mastering the material in this chapter, you will be able to: Compute and interpret the mean, median, and mode; compute and interpret the range, variance, and standard deviation; use the Empirical Rule and Chebyshev's Theorem to describe variation;...

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Chapter 4 - Probability. After completing this unit, you should be able to: Define a probability and a sample space, list the outcomes in a sample space and use the list to compute probabilities, use elementary probability rules to compute probabilities, compute conditional probabilities and assess independence,...

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Chapter 6 - Continuous random variables. After mastering the material in this chapter, you will be able to: Define a continuous probability distribution and explain how it is used, use the uniform distribution to compute probabilities, describe the properties of the normal distribution and use a cumulative normal table, use the normal distribution to compute probabilities,...

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Chapter 7 - Sampling and sampling distributions. This chapter includes contents: Random sampling; the sampling distribution of the sample mean; the sampling distribution of the sample proportion; stratified random, cluster, and systematic sampling (optional); more about surveys and errors in survey sampling (optional); deviation of the mean and variance of the sample mean (optional).

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Chapter 8 - Confidence intervals. After mastering the material in this chapter, you will be able to: Calculate and interpret a z-based confidence interval for a population mean when σ is known, describe the properties of the t distribution and use a t table, calculate and interpret a t-based confidence interval for a population mean when σ is unknown,...

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Chapter 9 - Hypothesis testing. After mastering the material in this chapter, you will be able to: Set Up appropriate null and alternative hypotheses, describe Type I and Type II errors and their probabilities, use critical values and p-values to perform a z test about a population mean when s is known,...

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Chapter 10 - Comparing two means and two proportions. After mastering the material in this chapter, you will be able to: Compare two population means when the samples are independent, recognize when data come from independent samples and when they are paired, compare two population means when the data are paired, compare two population proportions using large independent samples.

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Chapter 11 - Statistical inferences for population variances. After mastering the material in this chapter, you will be able to: Explain the basic terminology and concepts of experimental design, compare several different population means by using a one-way analysis of variance, compare treatment effects and block effects by using a randomized block design,...

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Chapter 12 - Experimental design and analysis of variance. After mastering the material in this chapter, you will be able to: Explain the basic terminology and concepts of experimental design, compare several different population means by using a one-way analysis of variance, compare treatment effects and block effects by using a randomized block design.

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Chapter 13 - Chi-square tests. After mastering the material in this chapter, you will be able to: Test hypotheses about multinomial probabilities by using a chi-square goodness-of-fit test, perform a goodness-of-fit test for normality, decide whether two qualitative variables are independent by using a chi-square test for independence.

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