How can I interpret the data without the need of solving it manually?

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How to estimate 2SLS with different instruments for different endogenous variables?

To be specific, I want to conduct an IV regression in stata with the following three equations. EQ1: Y1 ~Y2 Y3 X EQ2: Y2 ~ Z1 EQ3: Y3 ~ Z2 Both Y2 and Y3 are endogenous. However, Z1 and Z2 are...

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Hi, Good day! Do you have related studies about my title, "Factors Affecting the Senior High School Students' Stress Tolerance in Problem Solving"?

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How to design a PI controller for fourth-order transfer-function ?

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How to cite the results from Gallup Strengths Finder Assessment?

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Is it possible to get more than one final optimal solution using TOPSIS decision-making method in multi-objective optimization problem?

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How are latent means and observed composite means different?

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19 August 2020 8,857 4 View

How to model water acidification using CO2 and acids ?

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How to do a two-way ONOVA in SPSS?

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30 March 2020 8,769 2 View

How to compare two groups with only two measurements?

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What's the best way to measure growth rates in House sparrow chicks from day 2 to day 10?

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How to increase a model accuracy ?

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1. What is the impact of having different scales in a survey? and how can we solve this problem before and after data collection (Literature)?

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03 March 2021 2,870 3 View

What degree of missing data in a particular case/participant results in Expectation-Maximisation no longer working?

I'm dealing with a mediation model and am using the PROCESS module in SPSS. Due to SPSS and PROCESS being limited in the imputation methods - being unable to handle multiple imputation - the other...

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Is There Any Feasible Method To Test Fluorescent Compounds Other Than Fluorescence Spectrometers ??

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Can NFL theorem be valid in infinite search space in ML?

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How to address this issue in the analysis of Real-Time PCR results?

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How to arrange coordinates and extract climate dataset out of MPI-ESM-MR netcdf files?

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Miressa Amenu Terfa

To interpret data without solving it manually, you can use data visualization tools and techniques. These tools help to represent data in a visual format, such as charts, graphs, and tables, making it easier to understand and analyze. Additionally, machine learning algorithms and data analysis software can be used patterns, trends, and correlations within the data. These tools can provide insights and help to make informed decisions without the need for manual calculation or analysis.

عذراء مهدي العذاري

1. Statistical analysis programs:

SPSS: A powerful statistical analysis program that provides a wide range of statistical analyses.

SAS: Another powerful software widely used in advanced statistical analysis.

R: An open source and fully customizable programming language, widely used in statistical and graphical analysis.

Python: A versatile programming language, used with libraries like Pandas, NumPy, and Matplotlib to analyze data.

To interpret data without solving it manually, you can use data visualization tools and techniques. These tools help you represent data graphically, making it easier to understand and analyze. Some common data visualization techniques include bar charts, pie charts, line graphs, and scatter plots. You can also use statistical analysis and machine learning algorithms to identify patterns, trends, and correlations within the data. Additionally, using natural language processing and sentiment analysis can help you understand and interpret unstructured data, such as text or speech.