what is chi-square test of 2X2 table,what we choose for yates correction formula
A category variable, also known as a categorical variable, is a type of variable that represents distinct categories or groups rather than numerical values. These variables can be nominal, with no inherent order (e.g., colors or types of animals), or ordinal, where there is a meaningful order among categories (e.g., ratings like "poor," "average," "excellent"). Categorical variables are often used in statistics and data analysis to classify data and perform group comparisons.
The term used to describe the spread of values of a variable is "dispersion." Dispersion indicates how much the values in a dataset differ from the average or mean value. Common measures of dispersion include range, variance, and standard deviation, which provide insights into the variability and distribution of the data.
In descriptive studies, a variable is any characteristic, trait, or feature that can be measured or observed and can vary among subjects or over time. Variables can be classified into different types, such as categorical (e.g., gender, ethnicity) or continuous (e.g., age, income). Descriptive studies often aim to summarize and describe the characteristics of a population based on these variables without manipulating them. This helps in understanding patterns and trends within the data.
Wave length can be altered by changing frequency or Energy associated with it
This question could be answered in a variety of ways. In statistics for the biological sciences we use scales of measurement for variable types. In this case there are 4 types of variables: nominal (aka categorical), ordinal, interval (aka scale), and ratio.
Frequency distribution a mathematical function showing the number of instances in which a variable takes each of its possible values.False
Frequency distribution a mathematical function showing the number of instances in which a variable takes each of its possible values.False
yes a gender is a categorical variable
Categorical.
The cumulative frequency distribution for a value x of a random variable X, is a count of the number of observations in which X is less than or equal to x. The cumulative frequency distribution for a value x of a random variable X, is a count of the number of observations in which X is less than or equal to x. The cumulative frequency distribution for a value x of a random variable X, is a count of the number of observations in which X is less than or equal to x. The cumulative frequency distribution for a value x of a random variable X, is a count of the number of observations in which X is less than or equal to x.
Yes, a stem-and-leaf plot shows the frequency distribution of a variable.
It is the set of values that a variable can take together with the probability or frequency distribution for those values.
Color is considered a categorical variable.
Neither. It is a discrete variable.
Yes.
Yes.
A categorical variable (also known as a discrete variable) is one whose range is countable; e.g. the variable answ has values [yes, no, not sure]. answ is a categorical variable with range 3.A continuous variable is one which is not categorical; e.g. weight is a continuous variable which can take any value between 0 and 1000 kg (say) for a human being.