To find the values between which approximately 68 percent of the data will lie, we can use the empirical rule for normally distributed data:
- Approximately 68% of the data will lie within 1 standard deviation of the mean.
So, we need to find the values that are 1 standard deviation above and below the mean:
- 1 standard deviation above the mean: 645.33 + 12.78 = 658.11
- 1 standard deviation below the mean: 645.33 - 12.78 = 632.55
Therefore, approximately 68 percent of the data will lie between 632.55 and 658.11.
A normal distribution has a mean of 645.33 and a standard deviation of 12.78. Approximately 68 percent of the data will lie between which two values?
3 answers
is this right
I apologize for the incorrect information in my previous response.
To find the range that contains approximately 68% of the data in a normal distribution, we use the empirical rule which states that:
- Approximately 68% of the data falls within 1 standard deviation of the mean.
Given that the mean is 645.33 and the standard deviation is 12.78, we can calculate the range as follows:
1. One standard deviation below the mean: 645.33 - 12.78 = 632.55
2. One standard deviation above the mean: 645.33 + 12.78 = 658.11
So, approximately 68% of the data will lie between 632.55 and 658.11.
To find the range that contains approximately 68% of the data in a normal distribution, we use the empirical rule which states that:
- Approximately 68% of the data falls within 1 standard deviation of the mean.
Given that the mean is 645.33 and the standard deviation is 12.78, we can calculate the range as follows:
1. One standard deviation below the mean: 645.33 - 12.78 = 632.55
2. One standard deviation above the mean: 645.33 + 12.78 = 658.11
So, approximately 68% of the data will lie between 632.55 and 658.11.