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Statistics and probability 16 units · 157 skills. Unit 1 Analyzing categorical data. Unit 2 Displaying and comparing quantitative data. Unit 3 Summarizing quantitative data. Unit 4 Modeling data distributions. Unit 5 Exploring bivariate numerical data. Unit 6 Study design. Unit 7 Probability. Read more...
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Aug 25, 2021 · A normal distribution, also known as Gaussian distribution or probability density distribution, is a probability distribution that is symmetric about its mean, with all data points near the mean. When plotted on a graph, the normal distribution looks like what is popularly called a bell curve. Bell, however, is not a technical term; it is used Read more...
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Sep 2, 2021 · A two-way ANOVA test shows the results of two independent factors on a dependent variable. The findings of the ANOVA test can then be employed in an F-test on the overall significance of the regression formula, which is a statistical test used to assess if two populations with normal distributions share variances or a standard deviation. Read more...
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Sep 20, 2021 · Firstly, high statistical power helps researchers go back to the sample, re-evaluate, re-analyze, and so on. Second, statistical power analysis may be used to put an estimate on the minimum sample size required for an experiment, research, etc. This kind of hypothesis has more power to help pinpoint the statistical significance. At the same Read more...
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Statistical programming – From traditional analysis of variance and linear regression to exact methods and statistical visualization techniques, statistical programming is essential for making data-based decisions in every field. Econometrics – Modeling, forecasting and simulating business processes for improved strategic and tactical planning. Read more...
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Jan 26, 2022 · R provides a wide array of functions to help you with statistical analysis with R—from simple statistics to complex analyses. Several statistical functions are built into R and R packages. R statistical functions fall into several categories including central tendency and variability, relative standing, t-tests, analysis of variance and regression Read more...
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Feb 8, 2023 · Introduction. JASP is a free and open-source statistics package that targets beginners looking to point-and-click their way through analyses. This article is one of a series of reviews that aim to help non-programmers choose the Graphical User Interface (GUI) for R which best meets their needs. Most of these reviews also include cursory Read more...
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Dec 21, 2022 · Statistical analysis can help you investigate causation or establish the precise meaning of an experiment, like when you’re looking for a relationship between two variables. Make Data-Informed Decisions. Businesses are constantly looking to find ways to improve their services and products. Statistical analysis allows you to make data Read more...
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Sep 2, 2021 · The interquartile range is defined as the difference (substraction) between the upper and lower quartiles.. The interquartile range formula is shown below. Upper Quartile – Lower Quartile = Q3 – Q1 Interquartile range. The first quartile of the series in Q1, and the third quartile is Q3. The existence of interquartile range and median for Read more...
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Basic Steps of Statistical Data Analysis! It is imperative that you be accurate in understanding the subject of discussion so that you can be able to collect the correct data for the research project. Accumulate and Analyze the Data. ideal method you can use to collect data. to properly clarify the research findings and discussions. Read more...
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Jan 28, 2020 · Parametric tests usually have stricter requirements than nonparametric tests, and are able to make stronger inferences from the data. They can only be conducted with data that adheres to the common assumptions of statistical tests. The most common types of parametric test include regression tests, comparison tests, and correlation tests. Read more...
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Simple Statistical Analysis. Once you have collected quantitative data, you will have a lot of numbers. It’s now time to carry out some statistical analysis to make sense of, and draw some inferences from, your data. There is a wide range of possible techniques that you can use. This page provides a brief summary of some of the most common Read more...
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Aug 25, 2021 · Statistical significance is described as the measure of the null hypothesis being plausible as compared to the acceptable level of vagueness regarding the true answer. A null hypothesis, which you may remember, is a statistical theory suggesting that there exists no relationship in a set of variables. In other words, the result of an Read more...
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Mar 23, 2023 · Basic Fundamental Methods. Few of the basic fundamental’s methods used in Statistical Analysis are: 1. Regression. It is used for estimating the relationship between the dependent and independent variables. It is useful in determining the strength of the relationship among these variables and to model the future relationship between them. Read more...
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Aug 31, 2021 · The p-value in statistics is the probability of getting outcomes at least as extreme as the outcomes of a statistical hypothesis test, assuming the null hypothesis to be correct. To put it in simpler words, it is a calculated number from a statistical test that shows how likely you are to have found a set of observations if the null hypothesis were Read more...
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Statistical analysis is also used to identify and confirm spatial patterns, such as the center of a group of features, the directional trend, or whether features form clusters. While patterns may be apparent on a map, trying to draw conclusions from a map can be difficult—how you classify and symbolize the data can obscure or overemphasize patterns. Read more...
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Mar 24, 2023 · Statistical analysis helps us to determine the proper sampling methodology (i.e random, random without substitution, stratified sampling, etc) and reduce the sampling bias. For example, we are dealing with binary classification problem where 80% of data points belong to the class A and only 20% belong to class B. Now if we want to perform Read more...
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Sep 20, 2021 · Apart from the above linear regression formula, you can also arrange your data and calculate regression by hand. To do so, follow these steps: Step # 1 – Calculate the average of the x variable. Step # 2 – Calculate the difference between each x and average x. Step # 3 – Square the differences and add them all up. Read more...
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Sep 20, 2021 · Sample Size: the total number of people selected for the survey/study. Sample Technique: The technique you use in order to get your desired sample size. Pro Tip: Use a sample for your research when you have a larger population, and you want to generalize your findings for the entire population from this sample. Read more...
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Nov 16, 2022 · Jupyter Notebook with Stata. Faster Stata. Bayesian multilevel modeling. New functions for dates and times. Leave-one-out meta-analysis. Galbraith plots. Bayesian panel-data models. Zero-inflated ordered logit model. Nonparametric tests for trend. Read more...
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