Fill in index in MCW

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Aug 6th, 2022
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How to fill in index in MCW

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okay hi again so this time weamp;#39;ve got a question where youamp;#39;re asked to use index numbers in the multiple choice exam question hereamp;#39;s a chance for you to test your understanding of index numbers and in particular how to do some some calculations based on some hopefully relatively straightforward data if youamp;#39;re ready letamp;#39;s take a look at the question so the table below indicates the average price of furniture as a price index not measured in pounds or dollars or euros but expressed as a price index uh 2011 the index is 100 we can assume of course that thatamp;#39;s the base year for the index a bay share price index nearly always says 100. and you get some data for four following years due to 2015. the question is which one of the following can you deduce from the data above on average price of furniture expressed as an index this is the moment to press the pause button if you want to have a go at the question press play when youamp;#39;re ready i

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Index MCQs refers to multiple choice questions related to the topic of indexes, commonly seen in mathematics and computer science. Indexes, in mathematics, often represent exponential expressions or logarithmic relations.
Lower discrimination scores (in red) are scored +0.24 or lower; good scores (green) are +0.25 or higher.
The discrimination index ranges from 01; closer to 1 indicates a higher discrimination value. If it is less than 0.2, it is a poor discrimination item; 0.20.29 is a fair item, 0.30.39 is a good item, and over 0.4 is a very good item with a high degree of discrimination [13].
A positive discrimination index indicates that those students who got the test item correct also had a high overall exam score. When the discrimination index is negative it means that the examinees in the low performing group got the answer correct at a higher rate than the higher performing group.
Index numbers are commonly used in the study of economics. As mentioned above, index numbers help to define a variable relative to the level in a particular period. Thereafter, index numbers carry huge importance in economics due to their efficiency in measuring the changes.
The document discusses different types of indexes used to organize data in files and databases, including linear indexes, dense indexes, non-dense indexes, cluster indexes, primary indexes, secondary indexes, and multilevel indexes.
The Discrimination Index is listed in decimal format and ranges between -1 and 1. What is a good value? For exams with a normal distribution, a discrimination of 0.3 and above is good; 0.6 and above is very good. Values close to 0 mean that most students performed the same on an item.
Ranges from -1.0 to +1.0; the closer to 0.0 indicates no discrimination among high- and low-performing students. Achieving closer to 1.0 discrimination index is optimal. A discrimination index of 0.3 or greater is considered highly discriminating.

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