In a normal distribution, do the tails touch the horizontal axis?

Study for the AQA Psychology – Research Methods Test. Utilize flashcards and multiple-choice questions, each complete with hints and explanations. Get ready for your exam today!

Multiple Choice

In a normal distribution, do the tails touch the horizontal axis?

Explanation:
In a normal distribution, the curve’s tails extend indefinitely and get ever closer to the horizontal axis without actually meeting it. The probability density is positive for every finite x, given by f(x) = (1/(σ√(2π))) exp(-(x-μ)^2/(2σ^2)). As x → ±∞, the density approaches zero, so it gets arbitrarily close to the axis but never reaches it at any finite point. Since the horizontal axis represents zero density, the tails do not touch it.

In a normal distribution, the curve’s tails extend indefinitely and get ever closer to the horizontal axis without actually meeting it. The probability density is positive for every finite x, given by f(x) = (1/(σ√(2π))) exp(-(x-μ)^2/(2σ^2)). As x → ±∞, the density approaches zero, so it gets arbitrarily close to the axis but never reaches it at any finite point. Since the horizontal axis represents zero density, the tails do not touch it.

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