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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 April 7, 2020, 5:40 am 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.

### Dispersion and Spread of Data

Solutions: 527

Measures of dispersion and spread in statistics are used to define the deviation or scatter of data from the central value in a data set.

### Distribution of Data

Solutions: 299

The distribution of data refers to characteristics used in statistics, such as kurtosis and skewness, which detail the shape of a probability distribution.

### Normal Distribution

Solutions: 938

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.

### 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

Please explain: *Why is it important to ensure that the unit of analysis aligns with the purpose of the doctoral research? *Explain the broader implications of selecting the incorrect unit of analysis on the practice to business * How and why the unit of analysis for your proposed quantitative study is suitable for your resea

### 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

Quantitative Article Review Choose an article that gives a clear demonstration of one of the required quantitative methodologies. Designate which methodology on the title page. Include as many of the following as appropriate: I. Introduce the topic, include article title and author(s) II. Research Problem • What is the rea

### Transportation and Assignment Models: Example Problem

Consider the application of transportation and assignment models in real life and discuss: • Any two similarities and differences between both the models • Any two events where each of the two models can be used

### 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

PART I: Primary Task Response: Within the Discussion Board area, write 400-600 words that respond to the following questions with your thoughts, ideas, and comments. This will be the foundation for future discussions by your classmates. Be substantive and clear, and use examples to reinforce your ideas. You are going to loo

### 12 Multiple Choice Word Problems involving the Binomial, Normal, Poisson and Exponential Probability Distributions

Need some assistance with the following questions. Please provide your answers and supporting documentation in excel format for the following questions.The answers in excel should match the options provided. A student has an important exam coming up and is contemplating not studying for the exam in order to attend a part

### Forecasting Using Multiple Regression

Hi, I am having trouble with the attached problem. Any help would be appreciated.

### 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

You are part of a school and have to report the results of standardized test scores. Which measure of central tendency would you use? Assume that you don't know how your students will perform; so consider the general effects of outliers on the three measures of central tendency. Research and summarize the general effects that ou

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

We will be constructing confidence intervals for the proportion of each color as well as the mean number of candies per bag. Construct a 95% Confidence Interval for the proportion of blue M&Ms® candies. Construct a 95% Confidence Interval for the proportion of orange M&Ms® candies. Construct a 95% Confidence Interva

### Financial Forecasting Analysis

THE FOLLOWING DATA CONCERNS FUEL SALES BY A DISTRIBUTOR AND IS GIVEN IN THOUSANDS OF GALLONS. Case 1 Case 2 Case 3 JAN 15 12 12 FEB 17.5 15.5 15.5 MAR 20 19 19 APR 22.5 23.5 23.5 MAY 25 27 27 JUN 27.5 30.5 30.5 JUL 30 33 33 AUG 32.5 3

### Run Charts Atmospheric Carbon Dioxide Concentrations

(3) Construct a run chart for the 130 values. Does there appear to be a pattern suggesting that the process is not within statistical control? What are the practical implications of the run chart? Use the data in the following table, which lists carbon dioxide concentrations (in parts per million) for each year from 1880 to

### Skewedness versus kurtosis

1. What is the difference between the "skewedness" of the distribution of a dataset and its "kurtosis"? 2. What is the expected value (EV) of an investment if there is a 20% chance of realizing a return of \$20,000 or a 55% chance of realizing a return of \$25,000, or there could be a loss of \$15,000? 3. Which is the better

### 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.

To decrease the amount of time it takes to deliver packages, a delivery company purchased computer software that finds the optimal route for making deliveries based upon the input of the package destinations. In the past the average amount of time it took to complete deliveries was 9.4 hours with a standard deviation of 0.8 hour