1. compile the primary data
2. interpreatation
3. Analyising the data of different field
Harisha M.K.
Sas, spss
The two basic tools used in making statistical inferences are confidence intervals and hypothesis tests. Confidence intervals provide a range of values that likely contain the population parameter, allowing researchers to estimate uncertainty. Hypothesis tests, on the other hand, evaluate the evidence against a null hypothesis to determine if there is enough statistical support for an alternative hypothesis. Together, these tools help in drawing conclusions about a population based on sample data.
Statistical management refers to the application of statistical methods and principles to the process of managing an organization or project. It involves collecting, analyzing, and interpreting data to make informed decisions, improve processes, and enhance overall performance. By utilizing statistical tools, managers can identify trends, forecast outcomes, and optimize resources, ultimately leading to better strategic planning and operational efficiency.
Statistics is a mathematical science pertaining to the collection, analysis, interpretation or explanation, and presentation of data.It also provides tools for prediction and forecasting based on data. Statistical methods can be used to summarize or describe a collection of data. To create statistical reports aggregate are used.Aggregate functions compute a single result value from a set of input values.
a statistical is a question that has a variety of answers, but a non-statistical question has only one answer. like if i say "how old am i?" that is a non-statistical question because there is only one answer. But if I say "How old are the 6th and 7th grade students in school?" that is a statistical question because there will be various answers.
statistical tools under parametric
this part describes the statistical tools used in the research and the reason of the researcher in using such tools.
Mathematical tools such as statistical analyses.
Sas, spss
Statistical tools are tool which are purposively make or are use for data collection and analysis in research methodology. E.g destriptive. mean. standard deviation. chi_square e.t.c
Statistical tools in research are methods and techniques used to collect, analyze, interpret, and present data. They help researchers summarize information, identify patterns, and make inferences about populations based on sample data. Common statistical tools include descriptive statistics (like mean and standard deviation), inferential statistics (such as t-tests and regression analysis), and software applications (like SPSS, R, and Excel) that facilitate these analyses. By applying these tools, researchers can enhance the validity and reliability of their findings.
statistical methods are the kind of tools to extract knowledge from data and provide managers with more confidence in dealing with uncertainty in spite of the flood of available data.
Statistical tools: Google "Hans Rosling" and see how they work.
Sas, spss
Statistical treatment involves various tools and techniques to analyze data. Common tools include descriptive statistics (mean, median, mode), inferential statistics (t-tests, ANOVA, chi-square tests), and regression analysis. Additionally, software programs like R, SAS, SPSS, and Python libraries (e.g., Pandas, NumPy) are widely used for performing complex statistical analyses and visualizing data. These tools help in drawing meaningful conclusions and making informed decisions based on data.
the first is statistical which is known for being balancedthe second is bibliothead which bibliography is usedand the last but no the least is the communicator for u and the readers understand the researchexamples:the library and its resources. (bibliothead)the computer and its software. (statistical)techniques of measurement.(statistical)statistics.(statistical)the human mind.(communicator)facility with language.(communicator)
There are some good tools, you can search in the internet or you can also ask some smart persons who know something about that. Thank you for listening.