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# Marketing Research

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## Quiz 17 : Hypothesis Testing: Basic Concepts and Tests of Association

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

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.
Free
True False

True

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

False

The null hypothesis associated with the sample Chi square statistic is that the two intervally scaled) variables are statistically independent.
True False
A p-value of .005 proves that the null hypothesis is false.
True False
The number of degrees of freedom, v, for the chi‐square test of independence is obtained using the formula v = r -1) * c -1).
True False
The process of hypothesis testing, begins with an assumption about a sample statistic
True False
A p-value of .45 means that the evidence against the null hypothesis is very weak.
True False
Assuming the hypothesis to be true, the significance level indicates the percentage of sample means that are outside the cutoff limits.
True False
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.
True False
A high p-value means that the probability of a statistically significant difference is high.
True False
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.
True False
A high value of b indicates that the test of hypothesis is working very well.
True False
The hypothesis test serves to quantify the reliability of research results, indicating the extent to which the data support the empirical findings.
True False
The higher the significance level used for testing a hypothesis, the higher is the probability of rejecting the null hypothesis when it is true.
True False
Degrees of freedom refers to the number or bits of "free" or unconstrained data used in calculating a sample statistic.
True False