data project, Applied Statistics

Choose any published database from the internet or Bethel library (such as those from the Census Bureau or any financial sites). You may opt to use one of the data files provided by the instructor if applicable.
* Get advanced approval from the instructor on your chosen database.
* If the file is large, randomly choose 200 of the observations from the data.
* Explain each variable in the file that you are analyzing. Be sure your file includes at least 3 scale variables and at least 2 nominal variables.
* Conduct a descriptive analysis on any 2 interval / ratio variables you wish using Descriptive_Statistics.xls and Frequency_Distribution.xls. Explain the output.
* Conduct 3 different hypothesis tests of your choice using appropriate variables from the file (note: you must use 3 different tests and not run one test on 3 different variables). In each case, state the variables being tested as well as the hypothesis, decision and conclusion. Use 3 of the following (1-Sample Test for Means, 1-Sample Test for Proportions, 2-Sample Test for Means ? Independent Samples, 2-Sample Test for Means ? Paired Samples, 2-Sample Test for Proportions, Analysis of Variance, Chi Square Goodness of Fit Test, Chi Square Test of Independence, Correlation Test).
* Develop a model to predict an interval / ratio variable using at least 2 other variables. Use Multiple_Regression.xls and state the regression model and which variables are or are not significant. Also, use the model to make a prediction by making up values for each of the independent variables.
* Write a one to two page summary of your findings. Include the data file in the appendix.

Posted Date: 8/26/2012 1:54:47 PM | Location : United States







Related Discussions:- data project, Assignment Help, Ask Question on data project, Get Answer, Expert's Help, data project Discussions

Write discussion on data project
Your posts are moderated
Related Questions
Agency revenues. An economic consultant was retained by a large employment agency in a metropolitan area to develop a regression model for predicting monthly agency revenues ( y ).

JAR 21 SUPPLEMENTAL TYPE CERTIFICATION JAR 21 Part E introduces the need for Supplemental Type Certification when a manufacturer wishes to make major changes to the Type Desig

Correlation Analysis Correlation Analysis is performed to measure the degree of association between two variables. The measure is called coefficient of correlation. The coeffic

Standard Error The measure of reliability of the estimating equation that we have developed is given by standard error of estimate. The standard error of estimate represented b

Ten balls are put in 6 slots at random.Then expected total number of balls in the two extreme slots

In a three-cornered paint ball duel, A, B, and C successively take shots at each other until only one of them remains paint free. Once hit, a player is out of the game and gets no

This probability rule determined by the research of the two mathematicians Bienayme' and Chebyshev, explains the variability of data about its mean when the distribution of the dat

1. Assume the random vector (Trunk Space, Length, Turning diameter) of Japanese car is normally distributed and the unbiased estimators for its mean and variance are the truth. For

Types of cost-reimbursable contracts are:   Cost Plus Fixed Fee contract (CPPF): Compensation is based on a fixed sum independent of the final project cost. The customer a

The file Midterm Data.xls has a tab labeled "Income Data 2009". This data is collected income data from a sample of 400 people in 2009. Use a hypothesis test to see whether the av