important considerations, which a researcher should pay attention to. Reliability, in this case, can be described as the degree to which the data collection process is consistent. On the other hand, validity arises when variables measure what they were intended to measure. And, this, usually, happens when the data collection process has been reliable. Data collection form Construction of a data collection form is one of the important considerations that every researcher should consider, before the
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the interval level of measurement? Answer: The demographic variables that are measured at the interval level are: age, income, length of labor, return to work, and number of hours working per week. 2. What statistics were used to describe the length of labor in this study? Were these appropriate? Answer: The statistics used to describe the length of labor in this study were mean and standard deviation. These were appropriate as they both can be calculated at the interval level of measurement
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were measured at least at the interval level of measurement Education is measured at the interval scales because the data is measured on specific intervals, and grades of education. 2) What statistics were used to describe the length of labor in this study? Were these appropriate? Length of Labor is measured in hours. It is s an appropriate measurement because the time measured is less than a 24 hours. 3) What other statistic could have been used to describe the length of labor? Provide
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measured at least at the interval level of measurement? The age which is measured in years, the number of hours per week, annual income in dollars, return to work in weeks and the length of labor which is measured in hours could all be measured in interval level of measurement. They have fixed interval thus making it suitable for this kind of measurement. 11.2 What statistics are used to describe the length of labor in this study? Were these appropriate? In this research there
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a set of data. They are used to provide manageable summaries of data sets. They are the simplest and most widely used set of statistics and in many data analysis projects they will provide all the information required. There are many techniques available for describing a set of data. In this course we will look at three groups of univariate statistics, namely i) Frequency Distributions (ii) Measures of Central Tendency (iii) Measures of Dispersion We will also examine three
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20 2014 1 Questions to be graded Exercise 11 1. What demographic variables were measured at least at the interval level of measurement? The Demographic Variable measured at the least level of measurement in this study was the participants’ age, income, length of labor, and hours of work per week. According to this week reading the interval level of measurement are from lowest to highest and have numerical order that are ranked. The differences are noted to be equal between the two return
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QNT-351 Discussion Question Responses * DQ#1: What is the importance of statistics in business decision making? Describe a business situation where statistics was used in making a decision. 1. Using statistics to evaluate the performance of your business. Taking all factors into account, determine whether you are making or losing money. In addition, determine the trend of your business. For example, determine whether, over time, you are making more or less profit (or loss). Track the share
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Quantitative Techniques in Business Introduction to Statistics In the business world, and in fact, in practically every aspect of daily living, quantitative techniques are used to assist in decision making. Why? Unlike the classroom, in the “real world” there is often not enough information available to be guaranteed of making a correct decision. For instance, if advertisers would like to know how many households in the United States with televisions are tuned to a particular television show
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5 Lesson Plans - Psychology : H568 : G544 27 Other forms of Support 35 Introduction Background A new structure of assessment for A Level has been introduced, for first teaching from September 2008. Some of the changes include: • The introduction of stretch and challenge (including the new A* grade at A2) – to ensure that every young person has the opportunity to reach their full
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Research Methodology Unit IV Editing:- The raw data is likely to contain a no. of errors during the process of recording the information in surveys. By means of editing one tries to eliminate the errors or remove the points of confusion, if any. For proper analysis & interpretation, it is necessary that the collected data are present, readable & accurate in the desired form i.e., data collected has no missing values, all entries are readable or all information is accurate. This introduces errors
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