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Many statistics are based on the assumption that various underlying data or functions of data are normally distributed. For example, the t and F tests are based on this type of assumption; but there are many others.
In practice, many data that may be observed follow approximate normal distributions because they are, in effect, sums of random variables and the central limit theorem comes into play. In other practical situations, functions of the data are known to follow the normal distribution in most cases. For example, in many cases taking the logarithm or the arcsin of data values will yield (approximately) normally distributed values.
Beyond this, it is well known that many statistical procedures perform well even when the underlying distribution is not normal. They are said to be 'robust' and can be safely applied provided that certain conditions are met.
What else can I help you with?
Is quantitive research usually based on numerical measurements?
Yes, quantitative research is typically based on numerical measurements. It involves the collection and analysis of data that can be quantified, allowing researchers to identify patterns, test hypotheses, and make statistical inferences. This approach often utilizes structured tools like surveys or experiments to gather measurable data, which can then be analyzed using statistical methods.
Differences between descriptive and inferential statistics?
All statistical tests are part of Inferential analysis; there are no tests conducted in Descriptive analysis · Descriptive analysis- describes the sample's characteristics using… o Metric- ex. sample mean, standard deviation or variance o Non-metric variables- ex. median, mode, frequencies & elaborate on zero-order relationships o Use Excel to help determine these sample characteristics · Inferential Analysis- draws conclusions about population o Types of errors o Issues related to null and alternate hypotheses o Steps in the Hypothesis Testing Procedure o Specific statistical tests
What is general statistics?
Statistics is a mathematical science pertaining to the collection, analysis, interpretation or explanation, and presentation of data.[1] Statisticians improve the quality of data with the design of experiments and survey sampling. Statistics also provides tools for prediction and forecasting using data and statistical models. Statistics is applicable to a wide variety of academic disciplines, including natural and social sciences, government, and business.^Based On Wikipedia...
How do you figure out the height and distance a confetti cannon will shoot?
By statistical analysis. It is very difficult to calculate these using mechanics. Calculations of the trajectory of a projectile assume that the mass of the projectile is such that air resistance has a negligible effect. This is not the case when the projectile is confetti - even if it is packed densely to start with.
Formula to calculate normality?
The calculation for normality isn't too hard, but you have to have some info before you can find it. You need 1 the number of equivalents. # mol * (subscript on first element of first compound/ number of that element are in the balanced equation) = # equivalents I am probably confusing you on finding equivalents, but there is not much else I can do. sorry Using 0.2489 g. of H2C2O4*2H20 is .00197mol so... .00197 * (2/1) = 3.94*10^-3 equvialents 2 The volume in liters # mL/1000 = #L say 43 ml / 1000 +.043 L so normality would be (3.94*10^-3)/ .043 = 9.16*10^-2 as normality.
What is the significance of using unapproximated data in statistical analysis?
Using unapproximated data in statistical analysis is significant because it provides more accurate and reliable results. By using exact data without any approximations or estimations, researchers can make more precise conclusions and decisions based on the data. This helps to reduce errors and improve the overall quality of the analysis.
What are some purposes for using a spreadsheet?
To undertake numerical calculations. Accounts, inventory, statistical analysis and statistical forecasting.
What are the benefits of using the cp parameter in statistical analysis?
The cp parameter in statistical analysis helps to select the most appropriate model by balancing model complexity and goodness of fit. It can prevent overfitting and improve the accuracy of predictions.
What provides the ability to perform a statistical analysis in Excel?
Excel is a spreadsheet and a spreadsheet is a tool for doing numerical analysis and manipulation. So Excel and any other spreadsheet application are ideal for doing statistical analysis. Excel has a huge range of ways of doing statistical analysis. It can be done through simple formulas, like totalling things up. It can be done with the specialised built-in statistical functions. It can be done by using a range of charts. There are lots of other special facilities too.
What are the different types of statistical analyses that can be performed using SPSS?
SPSS allows for a wide range of statistical analyses. If you need SPSS help, you can get professional help from online consultancies like, SPSS-Tutor, Silverlake Consult, etc. and then you can perform various analyses such as descriptive statistics, t-tests, ANOVA, chi-square tests, correlation analysis, regression analysis, factor analysis, cluster analysis, and survival analysis using the software.
How is an epidemic determined mathematically?
An epidemic can be determined mathematically by using statistics. Statistical methods can be utilized for analysis and is often implemented for research.
Is quantitive research usually based on numerical measurements?
Yes, quantitative research is typically based on numerical measurements. It involves the collection and analysis of data that can be quantified, allowing researchers to identify patterns, test hypotheses, and make statistical inferences. This approach often utilizes structured tools like surveys or experiments to gather measurable data, which can then be analyzed using statistical methods.
Who to calculated normality of iodine?
Normality of iodine ((I_2)) can be calculated using the formula: Normality = Molarity x n, where n is the oxidation state of iodine in the reaction. For example, if you are using a 0.1 M (I_2) solution in a redox reaction where iodine is being reduced to iodide ions ((I^-)), then the normality of iodine would be 0.1 N.
Steps in statistical investigation?
Formulate a clear research question or hypothesis. Design a study and collect data. Analyze the data using appropriate statistical methods. Draw conclusions and make inferences based on the results. Communicate findings through written reports or presentations.
How will you calculate normality using specific gravity?
To calculate normality using specific gravity, you would first determine the concentration of a solution in g/mL. Then, divide the concentration by the equivalent weight of the solute to get the number of equivalents per liter. This value represents normality.
How do structural models work?
Structural models of the economy try to capture the interrelationships among many variables, using statistical analysis to estimate the historic patterns.
What is prori analysis and posteriori testing of algorithms?
A priori analysis of an algorithm refers to its time and space complexity analysis using mathematical (algebraic) methods or using a theoritical model such as a finite state machine. (In short, analysis prior to running on real machine.) A posteriori analysis of an algorithm refers to the statistical analysis of its space and time complexity after it is actualy run on a practical machine. (in short, anaysis of its statistics after running it on a real machine)
