learning in the classroom and at home. Her theories of observation and hands on learning were given much recognition in the twentieth century. She was recognized as one of the pioneers of early childhood education. (Kramer‚ Rita Marie. 1988. Maria Montessori: A Biography. Reading‚ MA: Addison-Wesley). Most schools today are still using several of Montessori’s theories and ideas on their younger students; especially kindergarteners. I want to be able to use many of Maria Montessori’s ideas in my
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In Montessori education‚ the term “normalization” has a specialized meaning. “Normal” does not refer to what is considered to be “typical” or “average” or even “usual”. “Normalization” does not refer to a process of being forced to conform. Instead‚ Maria Montessori used the terms “normal” and “normalization” to describe a unique process she observed in child development. Normalization refers to the focus‚ concentration and independence of the child‚ by his own choice. It means the child has acquired
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THE PREPARED ENVIRONMENT Montessori classrooms provide a prepared environment where children are free to respond to their natural tendency to work. The prepared environment offers the essential elements for optimal development. The key components comprise the children‚ teacher and physical surroundings including the specifically designed Montessori educational material.There are prepared environments for children at each successive developmental plane. These environments allow children to take
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when he is especially sensitive to certain aspects of the environment. They appear through patterns of repeated behaviour. The Sensitive Periods are not linear‚ i.e.‚ they do not follow one after the other; some overlap and some are continuous. Montessori education was developed with attention to the Sensitive Periods as a central theme. If a child is prohibited these sensitive periods‚ the natural consequences are shown with the disturbing effect on psychic development and maturity. As soon as a
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STANDARD DEVIATION The standard deviation is a popular measure of variability. It is used both as a separate entity and as a part of other analyses‚ such as computing confidence intervals and in hypothesis testing. The standard deviation is the square root of the variance. The population standard devia¬tion is denoted by σ. Like the variance‚ the standard deviation utilizes the sum of the squared deviations about the mean (SSx). It is computed by averaging these squared deviations (SSX/N) and
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STATISTICS: NUMERICAL MEASURES MULTIPLE CHOICE QUESTIONS In the following multiple choice questions‚ circle the correct answer. 1. Which of the following provides a measure of central location for the data? a. standard deviation b. mean c. variance d. range Answer: b 2. A numerical value used as a summary measure for a sample‚ such as sample mean‚ is known as a a. population parameter b. sample parameter c. sample statistic d.
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Standard Deviation Abstract QRB/501 Standard Deviation Abstract Standard Deviations Are Not Perverse Purpose: The purpose of this article is to illustrate how using statistical data‚ such as standard deviation‚ can help a cattleman choose the best lot of calf’s at auction. The statistical data used in these decision making processes can also help the cattleman with future analysis of the lots purchased and existing stock. Research Question: How can understanding the standard deviation of
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AIM: i)To investigate the dependence‚ of the angle of deviation on the angle of incidence‚ using a hollow prism filled one by one with different transparent fluids. APPARATUS REQUIRED: Drawing board White sheets of paper Hollow prism Different liquids(water‚ kerosene‚ oil‚ spirit etc.) Drawing pins Pencil Half meter scale Thumb pins Graph papers A protractor INTRODUCTION: In optics‚ a prism is a transparent optical element with flat‚ polished surfaces that refract light. The
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Mean and Standard Deviation The mean‚ indicated by μ (a lower case Greek mu)‚ is the statistician ’s jargon for the average value of a signal. It is found just as you would expect: add all of the samples together‚ and divide by N. It looks like this in mathematical form: In words‚ sum the values in the signal‚ xi‚ by letting the index‚ i‚ run from 0 to N-1. Then finish the calculation by dividing the sum by N. This is identical to the equation: μ =(x0 + x1 + x2 + ... + xN-1)/N. If you are not
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A. What is the mean age of this sample? What is the standard deviation? The mean age is 47.5 years old. The standard deviation is 10.74832 years. http://www.calculator.net/standard-deviation-calculator.html Sample Standard Deviation‚ s: 10.748316881702 Sample Standard Variance‚ s2 115.52631578947 Total Numbers‚ N 20 Sum: 950 Mean (Average): 47.5 Population Standard Deviation‚ σ 10.476163419878 Population Standard Variance‚ σ2 109.75 If it follows the normal distribution The
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