0
What is the relationship between levels of confidence and statistical significance?
The connotation 'statistical significance' takes into account the number of samples as well level of confidence in making a conclusion based on these samples. The level of confidence is typically denoted as 1-alpha (1 minus alpha), where alpha is basically the chance that the reported conclusion will incorrect. The most popular level of confidence is 95%, which coincides with a 5% alpha, meaning that when one makes a conclusion based on a particular sample, there is a 5% chance of a false or incorrect conclusion.
Still curious? Ask our experts.
Chat with our AI personalities
Devin
Jordan
ProfessorAdd your answer:
Earn +20 pts
What is the difference between clinical significance and statistical significance?
look for a paper being published in "The Oncologist" later this year (2008)
What is the statistical study of the relationship between two sets of data?
Regression.
What statement about the relationship between statistical power and statistical probability is true?
They are both concepts of a branch of mathematics that is called statistics.
What does the acronym ANOVA stand for?
The abbreviation ANOVA stands for analysis of variance. It is used for carrying out comparative analysis of the statistical methods to determine if there is any relationship between data points.
What is the relationship between Confidence Interval and decreased Standard Deviation?
There is absolutely no relationship to what you've asked. I'm pretty sure you simply framed the question in the wrong way, but to literally answer your question... none. Zero relationship. There's no such thing. There is however a relationship between standard deviation and a CI, but a CI can in no shape way or form influence a standard deviation.
What is the statistical measure of a relationship between two variables?
corrrelation
What is the difference between clinical significance and statistical significance?
look for a paper being published in "The Oncologist" later this year (2008)
To decide whether observed differences between samples reflect actual differences between?
statistical significance
What is the statistical study of the relationship between two sets of data?
Regression.
What statement about the relationship between statistical power and statistical probability is true?
They are both concepts of a branch of mathematics that is called statistics.
What is Co-relational statistical procedure?
A Co-relational statistical procedure is a technique used to know the relationship between two variables or measures the closeness of two statistical data. A statistical graph is the best representation of it.
A statement about the relationship between two or more variables is called?
A statistical model.
Is there a relationship between dynamics and statistics?
There is a relationship between thermodynamics and statistics. For more detail than you can probably handle, check out the book Statistical Thermodynamics by McQuarrie.
Find the critical Zc that corresponds to a 98 confidence level?
The 98 percent confidence level is commonly used in statistical tests. The critical Zc refers to the amount of relation between to factors.
Which race of men have the longest penis?
There is no statistical relationship between penis length and race.
What are the three parts of a hypotnesis statement?
A hypothesis statement consists of three parts: the null hypothesis (H0), the alternative hypothesis (Ha), and the level of significance (alpha). The null hypothesis states that there is no relationship or difference between variables, while the alternative hypothesis suggests the presence of a relationship or difference. The level of significance determines the threshold for accepting or rejecting the null hypothesis based on statistical testing.
What is the significance of conditional analysis in statistical research methodologies?
Conditional analysis is important in statistical research because it allows researchers to examine the relationship between variables while controlling for other factors. This helps to identify the specific impact of a particular variable on the outcome of interest, leading to more accurate and reliable results in research studies.
