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What else can I help you with?
How do you find the probability density function?
The probability density function of a random variable can be either chosen from a group of widely used probability density functions (e.g.: normal, uniform, exponential), based on theoretical arguments, or estimated from the data (if you are observing data generated by a specific density function). More material on density functions can be found by following the links below.
In what branch of mathematics would one use a normal distribution table?
A distribution table would be primarily used in the field of statistics and probability. Collecting and interpreting data is much easier when compiled in this format.
What is Hypothesis Testing of Goodness-of-Fit?
A test using relative errors comparing a frequency table to the expected counts determined using a given probability distribution; the null hypothesis is that the given probability distribution fits the data's distribution.
What is a data table?
a data table is a table to place your observations
Frequency approach for probability?
Well, that's not much of a question. Perhaps you are asking: What is the frequency interpretation of probability? This is called the classical interpretation of probability. Given n independent and identical trials with m occurrences of of a particular outcome, then the probability of this outcome, is equal to the limit of m/n as n goes to infinity. If you are asking: How can probabilities be estimated given data, based on frequency approach? A table is constructed, with intervals, and the number of events in each interval is calculated. The number of events divided by the total number of data is the relative frequency and an estimate of probability for the particular interval.
What best describes the distribution of the data?
A probability density function.
What shows distribution of data on a number line?
A probability density function.
How do you find the probability density function?
The probability density function of a random variable can be either chosen from a group of widely used probability density functions (e.g.: normal, uniform, exponential), based on theoretical arguments, or estimated from the data (if you are observing data generated by a specific density function). More material on density functions can be found by following the links below.
How do you construct a multivariate table?
Draw up a table with several columns, each representing a variable. Each row in the table is an observation, with data stretching across the columns.
Which conclusion is supported by the given data in the table mass volume and density measurement of substances?
The conclusion supported by the data in the table depends on the actual values provided. If the density remains constant for all substances, you can conclude that density is consistent. If the density changes with mass and volume, you can infer a relationship between mass, volume, and density.
Probability of 2 out of 12 trials being positive if the probability of each trial being positive is 5 percent?
This is a binomial probability distribution; n=12, r=2 & P=.05. Read directly from the table probability of 2 is .099 (plugging this data into my calculator gives 0.09879).
What is probability that is based on data?
It is called 'Experimental Probability'.
In what branch of mathematics would one use a normal distribution table?
A distribution table would be primarily used in the field of statistics and probability. Collecting and interpreting data is much easier when compiled in this format.
How do you calculate from the periodic table the density of an element?
To calculate the density of an element from the periodic table, you would need to know the element's atomic mass and atomic volume. The formula for density is mass divided by volume. You can find the atomic mass on the periodic table and calculate the volume using the element's atomic radius or other relevant data.
What is Hypothesis Testing of Goodness-of-Fit?
A test using relative errors comparing a frequency table to the expected counts determined using a given probability distribution; the null hypothesis is that the given probability distribution fits the data's distribution.
What is a density curve?
A density curve is a graphical representation of the distribution of a continuous random variable, illustrating how probabilities are distributed across different values. It shows the shape of the data and ensures that the total area under the curve equals one, reflecting the total probability. The area under the curve between two points indicates the probability of the variable falling within that range. Density curves can take various shapes, such as normal, uniform, or skewed, depending on the underlying data distribution.
What is a data table?
a data table is a table to place your observations
