Hire Professionals for Inferential Statistics Services
Inferential statistics are applied to evaluate differences, examine relationships between variables, or make predictions. The decision of which inferential analysis technique to apply depends on the investigator’s area of inquiry, research design, and level of measurement of data. Are you looking to hire a statistician for inferential data analysis? Trust our experts to provide exceptional services to assist you in drawing valid conclusions about a population based on limited information acquired from the sample. This article overviews the inferential analysis services provided by our experts, including but not limited to regression, correlation, and inferential statistics tests offered by our experts. In addition, we have discussed the software tools we employ and compared inferential and descriptive statistics.
What is Inferential Statistics?
Inferential statistics is a branch of statistics that involves applying a range of techniques to sample data to make generalizations about the population. There are two main branches of inferential statistics, which include estimating parameters and hypothesis testing. Estimating parameters involves computing the expected value of a population parameter based on the sample statistic, and hypothesis testing is utilized to evaluate the assumptions about a population based on a data sample.
Types of Inferential Statistics Services Offered by Our Experts
1. Regression Analysis Services
Regression analysis is a statistical technique used to investigate the relationship between a dependent variable and an independent variable. Our certified data analysts provide regression analysis services to assist with (a) Explaining the association between variables, (b) estimating the values of the independent variable while having the dependent variables, (c) predicting outcomes based on changes in the dependent and independent variables, and (d) controlling the effect of variables.
Types of regression analysis our experts offer include logistic, linear, and multiple regression. Examples of regression analysis services we provide include fraud detection in finance, customer churn prediction in business, and forecasting risks in businesses and healthcare research. By getting help for regression analysis from our experts, clients quantify the relationship between variables in their data, forecast future occurrences based on past data, and mitigate risks.
2. Correlation Analysis Services
Correlation analysis is a statistical technique that is used to determine the strength and direction of association between two or more variables. Based on factors such as the sample size and the data distribution, we apply either the Pearson, Kendall, or Spearman correlation analysis. Through hiring our experts for correlation analysis services, clients understand the relationships between variables and make predictions about future occurrences.
3. Structural Equation Modeling
Structural equation modeling is a statistical technique that is used to demonstrate the relationship between latent (not measured directly) and observed (measured directly) variables. When you opt to hire a statistician for structural equation modeling from our company, we utilize advanced techniques such as regression, factor, pathway analysis, and latent growth curve models to study complex multivariate relationships. With our structural equation modeling services, our clients estimate complicated relationships between dependent and independent variables and test and refine theoretical models.
4. Hypothesis Testing Services
Hypothesis testing involves using sample evidence to evaluate claims about a characteristic of a population. When a client approaches us for hypothesis testing services, we define the null and alternative hypotheses, select the significance level, analyze data, compute the test statistic, and interpret the findings. Our experts help illustrate whether the differences observed in a sample are statistically significant or have occurred due to random chance.
Some of the Inferential Statistics Tests Conducted by Our Statisticians
1. Chi-square Tests Assistance
Chi-square is a non-parametric test applied to test the hypothesis of no association between two or more groups and evaluate how likely the observed data distribution fits with the expected distribution. Our professionals provide exceptional help with the chi-square test to determine if there is a statistical significance between two categorical variables. We compute the chi-square test statistic and evaluate whether there is an association between the rows and columns in a contingency table.
2. T-tests Support Services
A t-test is a hypothesis-testing technique that is used to determine if there is a statistical significance between the means of two groups. We provide assistance with three forms of t-tests, which are i). 1-sample t-test, ii). 2-sample t-test, and iii). 2-sample paired t-test. Our professionals go beyond helping clients conduct the t-test; we also assist with interpreting t-test results.
3. Analysis of Variance (ANOVA) Services
ANOVA is a statistical technique that is used to evaluate the difference between the means of more than two groups. Our experts apply a one-way ANOVA or a two-way ANOVA based on the number of independent variables to determine the influence of one variable on the dependent variable. Through our ANOVA data analysis services, we help clients determine whether observed differences are due to chance or if there is a statistical significance.
Which Software Tools Do We Apply When Providing Inferential Statistics Services?
The software tools we apply when providing inferential data analysis services include SPSS, STATA, SAS, R, Python, Excel, and Minitab. In this section, we briefly discuss how our experts apply each software tool when conducting inferential statistics.
(i) SPSS: We provide inferential statistics services in SPSS to evaluate the association between variables, conduct group comparisons, and perform regression analysis. Some of the inferential statistics we conduct in SPSS include ANOVA, t-tests, chi-square tests, and correlation analysis.
(ii) SAS: Our inferential statistical analysis services in SAS encompass help with the t-test, chi-square test, Fisher’s exact test, ANOVA, Kruskal Wallis test, regression analysis, and correlation analysis, to mention but a few.
(iii) R: We utilize R’s packages such as stats, infer, gginference, lmtest, and MASS when offering inferential data analysis services in R. By applying R’s advanced tools and functionalities, we compute the confidence intervals, test hypotheses, and conduct other inferential statistics.
(iv) Python: In inferential data analysis services with Python, we utilize Python’s libraries, such as SciPy, NumPy, Statsmodels, and Pandas, to make conclusions about a population based on sample data.
Why Hire a Statistician for Inferential Data Analysis from Our Platform?
Our company has subject matter experts with extensive experience acquired from conducting inferential statistics for multiple clients. We apply these skills to operate advanced software and conduct a thorough analysis, delivering accurate and reliable results.
Our dedicated data analysts have a fast turnaround time and ensure timely delivery of results even for inferential data analysis requests with tight deadlines.
After conducting the analysis, we compose detailed and clear reports demonstrating the inferential data analysis methods, findings, and conclusions.
We understand that each data analysis project is unique, so we offer customized inferential data analysis services for our clients in different research areas, ensuring that the results meet their aims and objectives.
Our data analysis consultants provide excellent customer support and are available around the clock to offer assistance with any inquiry before and after buying our inferential statistics services.
Descriptive Vs. Inferential Statistics
Descriptive statistics deal with summarizing and describing the main characteristics of a data set. This table highlights the major differences between descriptive and inferential statistics:
Summary
Inferential statistics involve utilizing a sample to estimate characteristics or test hypotheses about a population. Applying the correct inferential statistics technique is crucial for drawing meaningful conclusions about a population and ensuring that the results are statistically sound. In case you are considering hiring a statistician for inferential data analysis, our certified consultants are the best in the market with extensive experience and knowledge of data analysis techniques. Join our live chat to talk to our friendly customer support agents to book a consultation with us today for help with inferential data analysis services.