How to write a reflective paper

Saturday, August 1, 2020

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Five Homework Strategies For Teaching Students With Learning Disabilities

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Five Homework Strategies For Teaching Students With Learning Disabilities

Friday, July 31, 2020

Five Reasons You Shouldnt Save Your Homework For Sunday

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Monday, June 15, 2020

The Use of Normal Distribution Statistics in Business - 2750 Words

The Use of Normal Distribution Statistics in Business (Essay Sample) Content: The Use of Normal Distribution Statistics in Business NameInstitutional AffiliationThe Use of Normal Distribution Statistics in Business IntroductionStatistics plays a huge part in business decisions. Any business has to be sharp and accurate when making its decisions. The business has to have a feel for demand of the company's products. It should therefore have the ability to identify what proportion to produce or the level of services that it will sell. These volumes of sale also have to be accurately estimated. Statistics help businesses align production according to demands in the market. Using business statistics will enable the quality and amount of the products to be established in a scientific manner and therefore help to save on cost. This is in addition to determining the costs of services rendered to the business by input factors such as labor. Thus, business managers can utilize statistical information to make business decisions. This paper discusses the v arious concepts used in calculating normal distribution statistics and their application in business practices. DiscussionA normal distribution is a distribution of a set of data that is bell-shaped and symmetrical. It is also often called the bell-shaped curve because of its shape (Black, 2012). The curve is concentrated at the center and decreases on either side indicating that the data has fewer tendencies to produce outliers. The outliers are the extreme ends of the set. At the peak of the normal distribution curve falls the mean, mode and median. These three measures will have the same number if the normal distribution is perfect. There are two equal halves on each side of the middle of the distribution and the height and the width of the bell is determined by standard deviation. The standard normal distribution usually has a mean of 0.0 and a standard deviation of 1.0.MeanThe mean is the most popular measure of central tendancy and is most often used with continuous data. It i s equal to the total value of all the set of data divided by the number value, the amount of values, which are in the data set. Therefore, if you have values x1, x2, x3xn and you have n values in the data set, the sample mean which is denoted by, is; This formula can be written in a completely different way by using a Greek capitol letter, written as and pronounced as "sigma", which is used to mean "sum of... These symbol indicates that the summation of the whole data set x is calculated for the use in the calculation of the mean of the data set.The mean minimizes errors in the prediction of the values of the data set and also includes every value of the data set as a part of this calculation.The mean is the only central tendency measure in which the sum of the deviations of each value from the mean is always zero. Businesses can apply this concept to determine the price at which it can break even in its operations- balancing expenditure and sales. Similarly, the mean is used t o determine the most common value. For instance, a business can use the mean to determine or estimate market rates, such as the average pay of a CEO in a given industry. This is achieved by taking the salaries of the CEOs of different companies and calculating their average. In this way, a business will be able to determine how much it should pay its own chief executive officers. In this regard, the mean is useful in business practices because it minimizes the margin of error when predicting the other values in the data set. However, the mean tends to be biased in a data set with outliers- values that are either too large or too small compared to the rest of the data. Thus, it gives a false impression of the overall central tendency. For instance, the mean of employees in an organization may not accurately capture the disparity between junior employees and executive officers. For instance, these figures exhibit a big disparity in the salaries of an organization.StaffCleanerCookMe ssengerJunior ClerkSecretary Junior ManagerSenior Manager CEOSalary in $5k7k10k14k17k25k40k70KThe mean salary for this staff is $23.5k. However, scrutinizing the data shows that the mean value may not be the best way to accurately gauge the typical wage of a worker. This is because the salary of most workers is below the 20k mark. In this light, the CEOs salary of $70k is an outlier in the data set because it is way far above the mean wage. This is the case in skewed data sets, whereby there is a large difference between the highest value and other values. In a normally distributed data, however, the mean, median, and mode tend to be identical, making these variable relevant measures of central tendency. As will be discussed later, the use of the median and inter-quartile range measures help in removing these outliers as a means of determining an accurate measure of central tendency. Nevertheless, normal distribution statistics represent a perfect model of asse ssing the fairness of business practices, such as measuring how far a businesss wage structure deviates from the average market rates. MedianThe median is a measure of central tendency that indicate the middle score of a data. For a set to be calculated the set of data should be arranged in the order of the sets magnitude, that is from the smallest to the highest in ascending order or from the highest to the lowest in descending order. The median is a reliable measure of central tendency because it is not affected much by the outliers (extreme values) and/or by skewed data. This implies that regardless of how much the data is varied or how far the values deviate from the mean, the median will be the same. To put it into perspective, let us use the data below to determine the median:50354433 35265545674872We will have to first rearrange this data into an order of magnitude that is, either in ascending order or descending order. In this case we arrange the set ascending or der- from the lowest value to the highest.2633353544454850556772 Our median is the middle mark, 45. For an even number of scores, you get the two middle values and average their result. The median is preferred over mean when data is skewed because it is not influenced by outliers. ModeThis measure of central tendency indicates the most frequent score in a set of data. It is that value in the data that has appeared in the data set the most number of times. It is normally used for categorical data in knowing the most common category. This is illustrated below:From the above set of data, the most used means of transport is the bus. Therefore, for these sets of data the bus is the mode. However, when the data contains more than to values sharing the highest frequency, it becomes problematic to use the mode as a measure of central tendency. For this reason, the mode is not used to analyze continuous data. In a business context, the mode is used to determine the most popular trend. This is important in decision making as it helps a business realign its practices to reflect market behaviors. For instance, a company may decide to pay its lowest earning worker $10k if that is what other businesses in the same industry pay their workers. Application of Mean, Mode and MedianIn preference to the median, the mode can be used to measure location of popular items when required for example number of defects in a sample. Mode can also be used to analyze prices paid by the majority of customers as well as the group of customers that are valuable to the business.The mean would be preferred over any other average in distributions that are symmetric and where further statistical calculations are needed. For example, the number of items manufactured daily in a large assembly line, or a firm orders per month. The mean can also give average cost and form a basis for future cost estimates. Prediction of future estimates would be essential in making budgets and therefore h elp a firm focus its effort to a predetermined outcome. In addition, prediction enables firms to make proforma balance sheets which are very vital in predicting future cash requirements. Thus, the mean can help a business make decisions about future expenditures by making predictions on the basis of current trends as reflected by the mean. The median can be used in a skewed distribution or where data is costly to measure. For example, the median can be used to determine the employees salaries, sales turnover for a large group of companies. However, the mean is preferred over the median and mode in normal distribution statistics because it takes into account all the values in a given data set. This is unlike the mode and mean, which mainly emphasize on the middle values and is not affected by a change of the other scores. Standard deviationStandard deviation shows the variation from expected or average value of data. Standard deviation is the square root of the variance and is normal ly expressed in the same data units. In a standard normal distribution, the standard deviation is equal to one. Standard deviation is calculated asIn a bell curve, about 68% of the area under the curve falls within 1 standard deviation, 95% within 2 standard deviations and 99.7% falls within 3 standard deviations. Standard deviation of a sample will show the variability of the population from which a sample is drawn.In a business scenario, the standard deviation can be used to ascertain how and to what extend the business results vary from the average. If the average outcome was the projected or the budgeted output, then standard deviation can be used to determine by how much the real output was varied from what was projected. Standard deviation is also very useful in determining portfolio risk. Portfolio risk is the risk assoc...

Sunday, May 17, 2020

My Life At Van De Walle Architects - 1065 Words

On November 22nd, 2016 my father drove me downtown to my job shadow. The morning was cold and the traffic was heavy. But above all, I was shaking with excitement. I was to shadow at Van De Walle Architects. It was a small firm, with just seven total people employed. Mr. Van De Walle started the business in Sioux Falls in 1972. Now the firm is on the 2nd floor in a business district in downtown Sioux Falls. Upon my arrival at Van De Walle Architects I spoke with a Katy Krantz. Her official tittle was a Project Architect and had been with the firm for 8 years. She graduated from North Dakota State University and was showing me her latest project at the time of my shadow, a Hilton Garden Hotel in North Dakota. Mrs. Krantz explained to meÃ¢â‚¬ ¦show more contentÃ¢â‚¬ ¦Once I was acquainted with the layout of the office I met Brad Dietzenbach. Mr. Dietzenbach was the main Partner at the firm. He dealt with client relations and overseeing the other Architects. I spent the rest of my day wi th Brad. At first he asked me what interested me about being an Architect and asked if I had thought about colleges. This spurred an hour long conversation about NDSU and Iowa State University. He explained to me that the only thing they don t teach you in high school is the codes. This is when he led me to a large book case full of binders upon binders. He explained to me how they have codes to follow for different buildings and how that can sometimes be the hardest part of the job. He said each binder had to do with a different building type. They had codes relating to plumbing and window heights. They also had codes for Handicap accessible rooms and buildings. I would definitely have to say this was my least favorite part. Not because it was boring but because the overwhelming weight all these books put on my shoulders perhaps scared me for my future having to deal with these codes. At this time it was roughly 10:30. Mr. Dietzenbach had a job site visit with a client at 11:00 a f ew blocks over. So Brad and I, plus another Architect whose name I never got, walked the three blocks to the job site. On our walk over they explained that it was aShow MoreRelatedFundamentals of Hrm263904 Words Ã‚ |Ã‚ 1056 PagesMAKE IT YOURS! Fundamentals of Human Resource Management Tenth Edition David A. DeCenzo Coastal Carolina University Conway, SC Stephen P. Robbins San Diego State University San Diego, CA Tenth Edition Contributor Susan L. Verhulst Des Moines Area Community College Ankeny, IA John Wiley Sons, Inc. Associate Publisher Executive Editor Senior Editoral Assistant Marketing Manager Marketing Assistant Production Manager Senior Production Editor Freelance Development Editor Senior