Type 1 Diabetes: Causes: Autoimmune Response Type 1 diabetes is usually a progressive autoimmune disease‚ in which the beta cells that produce insulin are slowly destroyed by the body’s own immune system. It is unknown what first starts this cascade of immune events‚ but evidence suggests that both a genetic predisposition and environmental factors‚ such as a viral infection‚ are involved. Islets of Langerhans contain beta cells and are located within the pancreas. Beta cells produce
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Concept and basics of probability sampling methods One of the most important issues in researches is selecting an appropriate sample. Among sampling methods‚ probability sample are of much importance since most statistical tests fit on to this type of sampling method. Representativeness and generalize-ability will be achieved well with probable samples from a population‚ although the matter of low feasibility of a probable sampling method or high cost‚ don’t allow us to use it and shift us to the
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Maintaining a healthy‚ restricted diet is crucial for type 1 diabetes management. A type 1 diabetes diet is designed to maximum nutrition‚ while limiting sugar‚ carbohydrates‚ and sodium. A type 1 diabetes diet is focusing on nutritious foods that are high in vitamins and minerals‚ while cutting down on foods that are high in fats‚ sugar‚ or empty carbohydrates. Some basic recommendations nutrition for type 1 diabetes diet is fruits‚ vegetables‚ whole grains‚ carbohydrates‚ and proteins. Fruit are
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Probability theory Probability: A numerical measure of the chance that an event will occur. Experiment: A process that generates well defined outcomes. Sample space: The set of all experimental outcomes. Sample point: An element of the sample space. A sample point represents an experimental outcome. Tree diagram: A graphical representation that helps in visualizing a multiple step experiment. Classical method: A method of assigning probabilities that is appropriate when all the experimental
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be able to ONEDefine probability. TWO Describe the classical‚ empirical‚ and subjective approaches to probability. THREEUnderstand the terms experiment‚ event‚ outcome‚ permutation‚ and combination. FOURDefine the terms conditional probability and joint probability. FIVE Calculate probabilities applying the rules of addition and multiplication. SIXUse a tree diagram to organize and compute probabilities. SEVEN Calculate a probability using Bayes theorem. What is probability There is really no answer
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Type 1 diabetes Type 1 diabetes occurs when the pancreas is unable to make enough insulin. Insulin is a hormone that acts as a key to let glucose from the food we eat pass from the blood stream into the cells to provide energy. What causes the condition? The exact cause of type 1 diabetes is unknown. It is thought that a viral infection‚ makes triggers the immune system to destroy the insulin-producing cells of the pancreas in people who have a genetic history of diabetes. . At this stage nothing
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1. A quality control engineer knows that 10% of the microprocessor chips produced by a machine are defective. Out of a large shipment‚ five chips are chosen at random. What is the probability that none of them is defective? What is the probability that at least one is defective? 2. An automated manufacturing process produces a component with an average width of 7.55 centimeters‚ with a standard deviation of 0.02 centimeter. All components deviating by more than 0.05 centimeter from the mean must
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sugar in the blood is too high. Glucose comes from the digestion of starchy foods such as sweets‚ rice‚ potatoes and bread. Type 1 diabetes is an autoimmune disease that causes the destruction of pancreatic beta cells‚ the cells in the body that make the hormone insulin. Insulin is required for people to get energy from food‚ therefore‚ people with type 1 diabetes must take multiple injections of insulin each day or continually infuse Insulin through an insulin pump in order to
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Discussion Questions: 3. Humans exhibit a Type 1 survivorship. Type 1 survivorship curves are characterized by high initial survivorship rates then a rapid decline in survivorship late in life. The mortality rate is very low in early life‚ and many of the individuals of the population will live to old age. 4. The cohort of 1850-1859 shows a more rapid increase in mortality rate later in life than the 1900-1909 cohort. During the late 19th century‚ after the Civil War‚ many young people were put
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BBA (Fall - 2014) Business Statistics Theory of Probability Ahmad Jalil Ansari Business Head Enterprise Solution Division Random Process In a random process we know that what outcomes or events could happen; but we do not know which particular outcome or event will happen. For example tossing of coin‚ rolling of dice‚ roulette wheel‚ changes in valuation in shares‚ demand of particular product etc. Probability It is the numeric value representing the chance‚ likelihood‚ or possibility
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