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Type II error occurs when the null hypothesis is not rejected when it is false.

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True

The purpose of hypothesis testing is not to question the computed value of the sample statistic but to make a judgment about the difference between that sample statistic and the hypothesized population parameter.

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True

The larger the degrees of freedom, the lower is the likelihood of observing differences among the variables.

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False

The null hypothesis associated with the sample Chi square statistic is that the two intervally scaled) variables are statistically independent.

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The number of degrees of freedom, v, for the chi‐square test of independence is obtained using the formula v = r -1) * c -1).

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The process of hypothesis testing, begins with an assumption about a sample statistic

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A p-value of .45 means that the evidence against the null hypothesis is very weak.

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Assuming the hypothesis to be true, the significance level indicates the percentage of sample means that are outside the cutoff limits.

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If the p-value is less than or equal to 0.05, then it is valid to say that the sample evidence is significant at .05 level.

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A high p-value means that the probability of a statistically significant difference is high.

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Two branches of a major multinational corporation conducted surveys to measure the association between income level low, mid, high) and need for a certain produce low, mid, high).The sample size in one survey was 100 and in the other, 200.The branches now wish to compare the two cross tabulations that were generated from the surveys.Given this information, the Chi square statistic would provide an easy-to-interpret method to compare the associations.

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A high value of b indicates that the test of hypothesis is working very well.

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The hypothesis test serves to quantify the reliability of research results, indicating the extent to which the data support the empirical findings.

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The higher the significance level used for testing a hypothesis, the higher is the probability of rejecting the null hypothesis when it is true.

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Degrees of freedom refers to the number or bits of "free" or unconstrained data used in calculating a sample statistic.

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A major advantage of the Chi square statistic as a measurement of association between two questions is that it is independent of the sample size, making it easy to interpret in an absolute sense.

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The contingency coefficient varies between 0 and 1.The 0 value occurs in the case of no association i.e., the variables are statistically independent), but the maximum value of 1 is never achieved.

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In order to reduce the probability of committing a Type II error, the probability of committing a Type I error must necessarily decreased

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