Final answer:
2) a normal distribution
The symmetrical curve where intelligence test scores are spread out evenly on each side of the average score is known as a normal distribution. A score of 115 is one standard deviation above the mean, while a score of 70 is two standard deviations below the mean.
Step-by-step explanation:
In an intelligence test, the average score is typically set to 100, with scores dispersed symmetrically on either side. This symmetric, bell-shaped curve indicates that the distribution of scores is normal distribution. The term normal distribution accurately describes this kind of symmetrical spread around the mean in a dataset. It is characterized by its bell-shaped curve whereby most of the data is clustered around the mean, with frequencies decreasing as you move away from the center. In the context of intelligence tests, a score that is one standard deviation above or below this mean is within the average range, and a majority of people's scores fall within this region.
Regarding a score of 115, it would be described as "one standard deviation above the mean," while a score of 70 is "two standard deviations below the mean." Given that the scores follow a normal distribution, any score that is within one standard deviation above or below the mean (between 85 and 115) is considered average. Consequently, around 68% of the population has IQ scores in this range.