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Answer :
Once you have calculated the z-score, you can use the Distributions tool to determine the probability of obtaining a mean percent accuracy greater than the mean of sample 83.
To find the mean and standard deviation for sample 83, you can use the DataView tool. Follow these steps:
1. Click on the "Observations" button on the left-hand side of the DataView tool.
2. Scroll down using the scroll bar on the right side until you reach sample 83.
3. Locate the value in the first column corresponding to sample 83. This is the mean for sample 83.
4. Locate the standard deviation for sample 83 in the corresponding column.
Now that you have the mean and standard deviation for sample 83, let's move on to calculating the z-score.
The z-score measures how many standard deviations the mean of a sample is away from the population mean. To calculate the z-score for the mean of sample 83, you need to know the population mean and standard deviation. If you have this information, you can use the formula:
z = (sample mean - population mean) / (population standard deviation)
Once you have calculated the z-score, you can use the Distributions tool to determine the probability of obtaining a mean percent accuracy greater than the mean of sample 83. To do this, you need to know the distribution of sample means.
For more such question on Distributions visit:
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