18 Questions
Which type of variable is 'GPA' in the study?
Quantitative continuous
What type of data is 'Academic year' based on the given information?
Qualitative ordinal
In the context of the study, what does 'Number of credit hours' represent?
Quantitative discrete variable
Which variable in the study is a qualitative nominal variable?
Gender
What type of variable is 'Student Age Groups' in the study?
Qualitative ordinal
'Grades' in the study represent which type of data?
Qualitative ordinal
What does the confidence interval of the research variables suggest about their means satisfaction?
The means of each variable have a range within which the true population mean is likely to lie
In testing satisfaction with the professor, is the hypothesis a one-tailed or two-tailed test?
One-tailed
What is the test statistic in the test regarding student satisfaction with the professor?
$-65.758$
What does the P-value represent in hypothesis testing?
The probability of obtaining the observed data if the null hypothesis is true
If the null hypothesis is rejected when it is actually true, what type of error is committed?
Type I error
What does the power of a statistical test represent?
The probability of correctly rejecting a false null hypothesis
What statistical test is being described in the given output?
Independent Samples Test
Which scenario does the output suggest when it talks about rejecting the null hypothesis?
The average satisfaction is more than 3.
What does 'Equal variances assumed' refer to in the output?
Assuming the variances of the two samples being compared are equal.
In the context of the output, what does 'Std.Error Difference' represent?
The standard error of the mean difference between two samples.
What does '95% Confidence Interval of the Difference Lower Upper' in the output help determine?
The limits within which the true difference between two means lies with 95% confidence.
What can be inferred from a low p-value in the 'Sig.(2tailed)' column?
There is a significant difference between the means being compared.
Test your knowledge on statistics for business related to a survey study conducted on business students. Topics include measuring satisfaction, research question rating scales, and demographical characteristics. Get ready for questions on data analysis and interpretation.
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