Statistical Data Analysis Assignment
Statistical Data Analysis
Statistical data involves the scientific collection of data, to unveil trends and patterns. Data can be further be classified as discreet or continuous. Continuous data is not countable. Discreet data is countable. Statistical data analysis dais used in different disciplines. HIRE WRITERS ONLINE.
Statistical Data Analysis Assignment Help
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Below are some of the topics we have covered in statistical data analysis assignment help services
Methods of statistical data analysis
- Mean
- Regression
- Sample size determination
- Hypothesis testing
- Standard deviation
Uses of statistical data analysis
- Making future predictions
- Summarizing information
- Presenting findings after a study
- Calculating the relevance of data
Types of statistical data
Primary data
Primary statistical data refers to the data obtained directly from processes, individuals, or objects. The data can be qualitative or quantitative. Primary data is reliable, as you can control how to collect it. It requires more time to collect. Primary data is also expensive compared to other types of data.
Secondary data
In secondary data, you collect data after another party has gathered it already. Collecting secondary data is cheaper and takes less time than primary data. You can access secondary data from different sources, such as government agencies, blogs, and publications. When using secondary data, be careful to get accurate, updated data from reliable sources.
Numerical data presented statistically is known as quantitative data. Examples include age, weight, and height.
Qualitative data
Qualitative data refers to described data, with no measurements.
Statistical Data Analysis
Methods of data collection
Sample surveys
In the sample survey, you select a certain number of respondents from a large population, to gather some information from them. The process of identifying the respondents is called sampling. To collect data using this method. prepare questionnaires. A questionnaire contains questions which are filled by the respondents. The questions should be clear and direct to the point. The method is cost-effective as you only get to a small number of people.
Census
Census is a type of primary data. In a census, an investigator gets essential information about every item in a certain population. Data collected using this method is correct and accurate, provided there is honesty.
Direct observations
In observations, you gather information, without asking questions. It can be combined with other data collection methods, for accuracy
Statistical data analysis involves the following:
Collecting the data
Before collecting the data, ensure you have a good storage system where you will keep the data. Choose the most appropriate data collection method, considering factors such as accuracy, urgency, and your budget. After the collection, store the data in an organized way.
Analyzing the collected data
Use different ways to manipulate your data. Use data analysis software and tools, as they are more effective.
Interpret the findings
The data should answer all the questions you had before collecting and analyzing it.
Applications of statistical analysis
Designing surveys
There are certain questions that cannot be answered without taking statistics. Through surveys, the government can know the population of its citizens, and businesses can conduct the response of their products in the market
Statistical modeling
Statistical modeling involves coming up with predictive models based on pattern recognition. Statistical models can be used to predict survival analysis of population or predicting elections results.
Epidemiological studies
Epidemiological studies help determine the connection between the cause and the effect of a certain disease. The results obtained are used to come up with certain public policies.
Clinical trials
When a vaccine or a treatment drug is found out, it is tested on a certain number of people, to determine the safety and effectiveness. It involves selecting a portion of the population and coming up with the parameters on how the efficacy and safety will be established.
Researching conclusions
Statistical data analysis helps researchers in testing hypotheses and confirming if theories are true and correct. Data from experiments can fail to be straightforward. Statistical analysis helps to eliminate errors and uncertainties. Since it is extensive, it takes a lot of time and money.
Statistical data analysis can be overwhelming. This is because it requires a student to be conversant with different statistical tools and certain skills. Unfortunately, some students are not well conversant with the tools, and they do not have adequate knowledge to tackle such problems. That is why we offer unmatched statistical data analysis assignment help services. We have the best statistical writers, who will handle even the most complex issues you may have.
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