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Q: How do you construct data table and the probability density?
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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?

by increasing the mass of a substance its density will increase


What is probability that is based on data?

It is called 'Experimental Probability'.


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 a data table?

a data table is a table to place your observations


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.


How Do You describe the shape of a data set?

You describe the shape, not of the data set, but of its density function.You describe the shape, not of the data set, but of its density function.You describe the shape, not of the data set, but of its density function.You describe the shape, not of the data set, but of its density function.


What is the probability that a kickoff will go between 60 and 75 yards if the average kickoff is 50 yards with a variance of 49?

Change the data to a standard normal distribution and use the table to calculate the probability (areas). * For 75 yd: Z=(75-50)/7 = 3.57; from table area = 0.9998 (use 3.49 value). * For 60yd: Z=(60-50)/7 = 1.43; from table area = 0.9236. Subtract the two areas and you have the probability; 0.9998-0.9236 = .0762 or 7.62%.