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What Does SAS stand for?
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Effective integrated model: SAS is generally get referred to as an effective integrated model with the help of which the user can get access, get process, and effectively get manage the data as according to the major requirement, through using the SAS application, the user can easily get deploy, and build up the statistical main paradigms, that mainly evaluates several integrated graphs.
Trending main technics statistical: The SAS software application is effective gets configured out the main accelerated schedule to get release the main order to keep pace with all emerging, and trending methods to effectively get expand out the field of statistics. This mainly gets consists of all trending methods.
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SAS data management is effectively got aid to integrate, to get a transform, and effectively get secure, and govern data sources to effectively get improve the overall reliability, and the effective quality, management of data has become important, and trending topic in the field of SAS software, as because managing data is so necessary for most of the organization. All the students who generally get cope up with the SAS data management, all must proficient in various effective ways to get solve the effective integration of data, and the effective major challenges for the quality data source, regarding how to effectively get enhancing the productivity, and effectively get reducing out the major maintenance for an effective time, and development. The students can effectively take the best benefits, and help of the SAS Assignment help as because the experts of SAS Assignment are very much skilled, and experienced in the field of writing an effective assignment.
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- It is effective, and the open-source integration with the R programming language.
- It is effective, and the batch processing, and the Graphical User Interface.
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Sample SAS Assignment Help Solved by The SAS Experts
Lab 3 Probability Distributions
The North Valley Real Estate group has provided you with data on homes sold in the area last year, including the agent who sold the home, the selling price, square footage, number of bedrooms, number of bathrooms if the property has a pool or garage, the township where the home is located, type and length of the mortgage, the buyer’s FICO score, and if the loan is currently in default. You have been asked to evaluate the distributions of the selling prices and days on the market for homes in this area as well as the FICO scores of buyers in the area to provide a guideline for new real estate agents in this group as they set their goals for this coming year.
Preparation Tasks
- Prepare a standardized variable for days on the market.
- Obtain the summary Statistics for the original variable and the standardized variable including the following items.
- Mean
- Standard deviation
- Minimum
- Maximum
- Number of observations
- Median
- Skewness
- Kurtosis
- Histogram
- Standardize the variable days on the market and filter your data to remove the observations that are not within ±96 standard deviations of the mean. Do not include the standardized variable in your new data set.
- Obtain the summary statistics for days on the market from the filtered data set.
