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MariettaO [177]
3 years ago
8

g In cross-tabulation, one of the tests used to evaluate the statistical association between two categorical or ordinal variable

s is called: The Chi-square test of independence The product-moment correlation coefficient The test of mean equality for independent samples The parametric test of dependence
Mathematics
1 answer:
Lena [83]3 years ago
5 0

Answer:

The Chi-square test of independence

Step-by-step explanation:

The answer to this question is the Chi-square test of independence because it is what is used to determine the existence of an association between nominal/categorical variables. This test is non parametric in nature and it can also be called the chi square test of association.

The data is tabulated. each row is a representation of the category for one of the variables and each column is for the other variable.

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SI on rs 5000 at 10percent for a certain period is rs 500 less then the interest on rs 6000 at 10 percent p.A for the same perio
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Answer:

The time period was of 5 years.

Step-by-step explanation:

The formula to compute the simple interest is:

SI=\frac{P\times r\times t}{100}

The information provided is as follows:

P_{1}=5000\\\\r_{1}=10\%\\\\P_{2}=6000\\\\r_{2}=10\%\\\\SI_{1}=S_{2}-500

The time period is same for both the amounts.

Compute the time t as follows:

                           SI_{1}=SI_{2}-500

                 SI_{2}-SI_{1}=500

    \frac{P_{1}\times r_{1}\times t}{100}-\frac{P_{2}\times r_{2}\times t}{100}=500

\frac{6000\times 10\times t}{100}-\frac{5000\times 10\times t}{100}=500\\\\

               600t-500t=500\\\\

                          100t=500\\

                               t=5\ \text{years}

Thus, the time period was of 5 years.

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Step-by-step explanation:

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