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**Proportions**:

A proportion is a fraction of the total that ownsa positive aspect. In other words, theproportion is anamount of probable consequence of any arbitrary survey. However, theproportion is used in the calculation of many experimental data.

Ultimately, theproportion is the correct guesses divided by the total number of the entire thing. To remove your doubts let’s take an example:

X represents the number of successes out of an n observations. If each observation is an attainment with probability p of the other observations, then X is a binomial variable with n and p.

Proportion (p) = number of successes (X) divided by the total number of observation in the sample (n)

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**Frequency:**

Frequency is the size of sequences of trials, or it is the number of times an experiment took place. The frequency is usually showed up in the form of a table. This style of representation is called frequency distribution. Here each data is represented in a table that contains the number of times an experiment had occurred. **Proportion, Frequencies and Contingency Analysis Homework Help **is a group of highly skilled tutors who can clear any of your doubts at any time. So please do not hesitate, feel free and just ask your doubts if you have any.

In thecalculation of other related experiments, this is oftenfound that the analysis or the calculation was performed numerous timesto achieve perfection. So while tabulating the experimental results, the number of times the observations recorded is frequency.

**Contingency analysis:**

**Proportion, Frequencies, and Contingency Analysis Assignment Help **elucidate Contingency analysis is nothing but representing data in a tabular form that exemplifies the frequency distribution of the variables. They deliveran underlying image of the interrelation between two variables and can assist to catch interactions between them. The importance of contingency is the expression of the proportional difference that is obtained from chi-square test, G-test, Fisher’s test, etc.

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