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In a study of reaction times, the time to respond to a visual stimulus (x) and the time to respond to an auditory stimulus (y) were recorded for each of 8 subjects. Times were measured in thousandths of a second. The results are presented in the following table. Q test. Use the level of significance. Based on the data, the following are computed:

A) p-values for x and y.
B) Standard deviations for x and y.
C) Correlation coefficient between x and y.
D) Critical Q value for the given level of significance.

User Yimin Rong
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1 Answer

5 votes

Final answer:

The given question asks for various computations based on provided data about reaction times to visual and auditory stimuli for 8 subjects. The requested analyses include calculating p-values, standard deviations, correlation coefficient, and critical Q value for a given level of significance. However, the required data is not provided, making it impossible to answer the question without that information.

Step-by-step explanation:

To answer the given question, we need to analyze the provided data that includes the reaction times to different stimuli for 8 subjects. Let's break down the required computations:

A) P-Values: To compute the p-values for x and y, we need more information about the data. The p-value represents the probability of obtaining the observed data or data more extreme if the null hypothesis is true. Without the data or hypotheses, we cannot calculate the p-values.

B) Standard Deviations: Again, we require the actual data to calculate the standard deviations for x and y. The standard deviation measures the variability of the data points from the mean. Without specific values, it is impossible to compute the standard deviations.

C) Correlation Coefficient: The correlation coefficient, denoted by 'r', measures the linear relationship between x and y. We need the x and y values for each subject to calculate it. Unfortunately, the data is not provided, so we cannot compute the correlation coefficient.

D) Critical Q Value: The critical Q value is used in the Q test, which is not applicable to our given problem. It seems this option is unrelated to the data and questions presented.

User Brian Larsen
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