Questions: You ask a group of 10 adults to participate in a reaction time task concerning verbal comprehension while under the influence of a computer-simulated virtual reality system stimulating the retina of one of a participant's eyes. Our collected data follows: Completion time in seconds 0.8 1.1 0.7 0.9 1.0 0.9 1.1 1.2 1.4 0.8 See alpha at a = .05 and summarize the results of the hypothesis testing procedure by writing your results in normal form as suggested in the image.

You ask a group of 10 adults to participate in a reaction time task concerning verbal comprehension while under the influence of a computer-simulated virtual reality system stimulating the retina of one of a participant's eyes. Our collected data follows:

Completion time in seconds

0.8 1.1 0.7 0.9 1.0 0.9 1.1 1.2 1.4 0.8

See alpha at a = .05 and summarize the results of the hypothesis testing procedure by writing your results in normal form as suggested in the image.
Transcript text: You ask a group of 10 adults to participate in a reaction time task concerning verbal comprehension while under the influence of a computer-simulated virtual reality system stimulating the retina of one of a participant's eyes. Our collected data follows: Completion time in seconds 0.8 1.1 0.7 0.9 1.0 0.9 1.1 1.2 1.4 0.8 See alpha at a = .05 and summarize the results of the hypothesis testing procedure by writing your results in normal form as suggested in the image.
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Solution

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Solution Steps

Step 1: Calculate the Sample Mean

The sample mean \( \mu \) is calculated as follows:

\[ \mu = \frac{\sum_{i=1}^N x_i}{N} = \frac{9.9}{10} = 0.99 \]

Step 2: Calculate the Sample Variance and Standard Deviation

The sample variance \( \sigma^2 \) is computed using the formula:

\[ \sigma^2 = \frac{\sum (x_i - \mu)^2}{n-1} = 0.05 \]

The standard deviation \( \sigma \) is then:

\[ \sigma = \sqrt{0.05} = 0.21 \]

Step 3: Calculate the Standard Error

The standard error \( SE \) is calculated as:

\[ SE = \frac{\sigma}{\sqrt{n}} = \frac{0.21}{\sqrt{10}} \approx 0.0664 \]

Step 4: Perform the Hypothesis Test

The test statistic \( t \) is calculated using the formula:

\[ t = \frac{\bar{x} - \mu_0}{SE} = \frac{0.99 - 1.0}{0.0664} \approx -0.1506 \]

For a two-tailed test, the p-value \( P \) is given by:

\[ P = 2 \times (1 - T(|z|)) \approx 0.8836 \]

Step 5: Conclusion

Since the p-value \( 0.8836 \) is greater than the significance level \( \alpha = 0.05 \), we fail to reject the null hypothesis. This indicates that there is no significant difference in the mean completion time.

Final Answer

\(\boxed{\text{Fail to reject the null hypothesis: There is no significant difference in the mean completion time.}}\)

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