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    Quantative Analysis of Data

    Quantitative analysis is an overarching term used to classify the various characteristics and measures which are utilized in statistics to discuss the behavior of a data set. In many cases, quantitative analyses are conducted to better understand a data set and/or the meaning associated with the results of a particular study. For example, researchers doing a survey on the entrance GPAs held by students applying to law schools would calculate certain quantitative variables such as the mean, to evaluate the average GPA associated with the pool of applicants. Computing measures such as the mean, which is a measure of central tendency, is integral to the study of statistics because it allows data to be interpreted and thus, connected to practical applications. For instance, the previous example considering the mean GPA attained by prospective law school applicants provides a baseline idea of the minimum average a hopeful applicant needs to be competitive when applying to a particular law school. In addition to measures of central tendency, the dispersion and spread of data, along with the distribution of data, are considered when evaluating the features of a data set. The distribution and spread of data considers characteristics such as the standard deviation and interquartile range, which highlight the divergence from a central value or the overall variation. Similarly, the distribution of data examines the total spread of a data set and the departure of a probability distribution from normality. In comparison to other fields of study with seem highly theoretical in nature statistics is very practical and relevant to everyday life. However, in order to properly comprehend the statistical meaning associated with various research studies and data collected, being able to properly analyze the quantitative features associated with raw data is crucial. Thus, quantitative analyses lend context to statistical values. © BrainMass Inc. brainmass.com March 18, 2024, 6:27 pm ad1c9bdddf

    BrainMass Categories within Quantative Analysis of Data

    Central Tendency

    Solutions: 414

    Central tendency typically aims to locate the average value in a set of data and can be measured by calculating the mean, median and/or mode.

    Normal Distribution

    Solutions: 939

    In the study of statistics, the normal distribution is one of the most fundamental concepts and is represented by a graph which is characteristic of a symmetric, bell shaped curve.

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    What are the 99.7% upper and lower control limits

    A company is producing cylindrical blocks for a children's toy. The average diameter of a block is 3.8 inches. A sample of 30 blocks is inspected and the diameters are measured. The standard deviation is estimated to be 0.04 inches. What are the 99.7% lower and upper control limits for the x-bar chart?.. Answer should be two

    Nonparametric Analyses

    What factors should be considered when deciding whether to use a parametric or nonparametric statistical analysis? Identify a research question from your professional life or research interests that could be addressed by a nonparametric statistic. Articulate the variables, scales of measurement, and expected outcome of the study

    Multiple Linear Regression - Job Satisfaction

    Multiple linear regression is a logical extension to the Pearson Product-Moment Correlation test. Researchers use multiple linear regression to examine the relationship between at least two predictor variables and a scale (numerical) dependent variable. Multiple linear regression is the most commonly used statistical test for qu

    Unit of Analysis and Sample Size

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    Literature Review Quantitatively Measurable Research

    Conduct a literature search, and write an introduction and literature section for a research project on the topic. Take care in writing so that you have a smooth flow of ideas to ultimately focus on a specific researchable dimension related to the styles topic. This assignment gives you wide latitude. You can research the topic

    Research Analysis Set of Hypothesis

    Utilizing any available disclosed database for SPSS, develop a researchable set of hypotheses related to the database. Clearly define quantitatively analyzable hypotheses, analyze your data with SPSS, and write up the results in a full quantitative report format. Draw appropriate conclusions about your hypotheses in your writeup

    Quantitative Article Review

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    Transportation and Assignment Models: Example Problem

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    Factorial ANOVA

    This week, you have explored how to use factorial ANOVA in research design. You will practice using factorial ANOVA in this Application. To prepare for this Application: Review Chapter 13 of the Field text for a description of the factorial analysis of variance and an example of conducting a factorial ANOVA using PASW.

    Index Numbers & Forecasting

    Aggregate price indexes #4 R & B beverages, Inc., provides a complete line of beer, wine, and soft drink products for distribution through retail outlets in central Iowa. Unit price data for 2003 and 2006 and quantities sold in cases for 2003 follow. Item 2003 quantity cases Unit prices 2003 2006 Beer 35,000 16.25 17.50

    Decision Theory: Probability Questions

    1. The weight of a one cubic yard bag of landscape mulch is normally distributed with a mean of 40 pounds and a standard deviation of 2 pounds. a. What is the probability that a bag will weigh less than 40 pounds? b. What is the probability that a bag will weigh between 38 and 40 pounds? 2. Accord

    Quantitative vs. Qualitative Data

    Examples Example 1: Safety experts are trying to determine how long it takes a specific brand of car to come to a complete stop. They have determined that the speed of the car has a large impact on how long it takes to come to a complete stop. They decide to gather data by having the car go 10, 30, 50, 70 and 90 miles per hour

    Quantitative Problems in a managerial role and determining expected values

    1. Explain the difference between quantitative and qualitative analysis from the manager's point of view. 2. Explain the difference between mutually exclusive and independent events. Can a pair of events be both mutually exclusive and independent? 3. Explain the transformation from any normal distribution to the standard no

    Financial management, dumping and tariffs

    1. Dumping, while illegal, would offer products to consumers at very low prices. As a consumer, what is your opinion of this? Explain your reasoning. 2. Tariffs effectively raise the price of goods imported from different countries. How do you feel about this? 3. In your opinion, have U.S. companies effectively lobbied for

    Chi-squared tests on SampleDataSet.xlsx

    Your final project entails systematic extraction of decision-aiding insights out of a dataset (SampleDataSet.xlsx) provided to you in the Doc Sharing area. In this section, you will carry out the following basic estimation and tests of differences using the provided SampleDataSet.xlsx: Identify three continuous and three d

    STATISTICS

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    Solving linear programming with the graph method

    Professor Smith teaches two sections of business statistics, which combined will result in 120 final exams to be graded. Professor Smith has two graduate assistants. Brad and Sarah, who will grade the final exams. There is a 3-day period between the time the exam is administered and when final grades must be posted. During this

    Chi-Square with SPSS

    Craft a one page brief of the statistical results (include any additional pages needed for any APA tables or graphs and the SPSS syntax and output) in which you do the following: State the statistical assumptions for this test. Using the data set you have selected, choose independent and dependent variables. Develop the nul

    Covariance Between Age and Number of Visits

    Suppose we interested in the relationship between the age of individual, as measured by visits. Suppose after selecting 15 members the observation: Visits: 3 5 4 2 1 3 6 7 4 5 10 1 2 3 8 Age: 28 45 50 19 16 27 54 63 32 42 68 19 23 30 61 Use this data

    Probability of Random Letter Selection

    Many newspapers carry a certain puzzle in which the individual must unscramble letters to form words. How many ways can the letters of YARNLE be arranged? What is the probability of coming up with the correct unscrambling through random letter selection?

    PSY2007 Sample Question W2A1 can you help with this problem

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    Grading and Evaluation

    A professor wants to conduct a study to know whether the grades she gives to her students affect their evaluations of her. She teaches four classes of ten students each. She has a theory that the grades and her evaluations are affected by the following characteristics of students: A student's gender A student's age The ho

    Confidence Intervals for Proportions of M&M's

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    Financial Forecasting Analysis

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    Run Charts Atmospheric Carbon Dioxide Concentrations

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    Skewedness versus kurtosis

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    The solution gives detailed steps on performing the hypothesis tesing assuming the data is normally distribution. Both population mean and standard deviation are given in the question.

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