Without doing descriptive analysis to make an inference, the data does support hypothesis that increased expenditures generated more WC cases over 42-month period. Hypothesis can be rejected for PI cases. However, month 24, 830 dollars was spent and 45 cases were generated. Week 15, 13605 was expended, yet they only generated 37 new cases. This shows there isn’t a causal relationship between the amount of money spent and the total number of cases generated. Post 2 Doing the Descriptive Statistical
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computed by summing the data values and dividing the sum by (n - 1) d. is computed by summing all the data values and dividing the sum by the number of items 2. is an example of a a. sample statistic b. mode c. population parameter d. population variance ____ ____ 3. On a street, the houses are numbered from 300 to 450. The house numbers are examples of a. neither quantitative nor qualitative data b. quantitative data c. qualitative data d. both quantitative and qualitative data 4. The coefficient
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CarZuma: Car Insurance Claim Case Study Problem Statement A car insurance company, CarZuma, has collected some of the past data about their clients or customers that what are their attributes as well as their insured vehicles attributes while insuring the same. They have heard a lot about the data analytics and are very sure that their competitors are also using some of these techniques to beat the competition. They have to be very focused to their target segment. Please
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should be able to: 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. Design and plan a research study. Apply statistical methods to business research. Apply research techniques to commerce and business issues. Differentiate between descriptive and inferential statistics. Devise the sampling theory into appropriate sampling distributions. Write and test a hypothesis. Contrast and compare descriptive, correlational, and qualitative non-experimental research. Contrast and compare experimental and quasi-experimental
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determining if research findings are not substantive or substantive. Not only do research and statistics play a part in psychology, the roles of the scientific method, primary data, and secondary data contribute as well. Research and the Scientific Method Research is the collection and evaluation of information or data about a particular subject (Nordquist, 2013). Psychology research is about values, variables, and scores. Values are categories or numbers, variables are characteristics or conditions
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groundwork of the information gathering in the development of crafting the evaluations and trials. While using statistics, one must know that there are two key forms of fact findings, these findings are referred to as inferential and descriptive statistics. A descriptive statistical objective is to summarize information arrangements, in place of using information received from a specified people set. Inferential statistics refer to unlike classifications of methodology that depict inferences from ascending
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between analysis and evaluation Analysis refers to the process of gathering information, evidences, assumptions about an object or a problem. While evaluation is the process of weighing out different sides, contrasting perspective, assumptions about that object by applying specific criteria's. University of Virginia provided different methods of analysis such as descriptive analysis to offer a detailed description to describe main features of the collection of data, comparative analysis to compare
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researchers to gather the needed data. It includes the Research Design, Respondents, Sampling Techniques; Instruments used its construction, validation, administration and retrieval, and the statistical treatment of data. RESEARCH DESIGN The researchers employed the descriptive method approach which, according to Thomas (2014), refers to the method used to describe data and characteristics used to describe the population. Its purpose is to acquire accurate, factual, systematic data that can provide an actual
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1. DIFFERENTIATE DESCRIPTIVE STATISTICS FROM INFERENTIAL STATISTICS. ANSWER: The difference between Descriptive Statistics and Inferential Statistics: Descriptive Statistics includes statistical procedures that we use to describe the population we are studying. The data could be collected from either a sample or a population, but the results help us organize and describe data. I can only be used to describe the group that is being studying. That is, the results cannot be generalized to any larger
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II. Data Description The price of the varying houses ranged from $71,000 to $131,000 with a mean of $100,146.32. The standard error of the price of the homes was $13,298.79. These measurements were measured while observing 150 different homes throughout the course of the study. Several variables were thought to affect the price of a home; these included the location, size of the house, size of the lot, size of the garage, age of the house, number of bedrooms and bathrooms, the number of floors
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