For a sample of size , defineFor the zero-mean Gaussian sample, the standardized vector has independent standard normal coordinates. Apply an orthogonal transformation whose first row is . The resulting coordinates remain independent standard normals: their joint density depends only on squared Euclidean length and the transformation has unit absolute Jacobian. Its first coordinate is , while orthogonal decomposition givesThusThe ratio of the first independent standard normal and the square root of the normalized chi-square variable has a Student probability distribution, giving
For the paired height observations, form one cross-minus-self difference per pot. The sampling units for this test are the fifteen differences, not thirty separate plant heights. Under the usual independent normal model for differences, a null mean of zero gives a statistic. The observed statistic isFor the two-sided alternative, reject at significance level if . Its two-sided -value is . This uses the recorded values without performing the numerical calculation forbidden by the question. The normal difference model is what makes the small-sample Student calibration exact.
For the positive-direction alternative, use the same paired statistic , but reject at level only when . Its one-sided -value isBecause the observed mean difference is positive and the null Student probability distribution is symmetric, the two-sided -value is twice this upper-tail probability, consistent with the supplied and .
The two-sided value is the null-model probability of a test statistic at least as far from zero in either direction as the observation. The one-sided value uses only the direction of larger cross-fertilized heights. They are probabilities under the assumed null sampling distribution, not posterior probabilities that the null hypothesis is true.
At the reported precision, the two-sided result is on the conventional 5 percent boundary; rounding can matter for a strict numerical threshold. The one-sided result is significant at5 percent and supports a positive mean difference if that directional alternative was chosen in advance. Choosing the direction after observing the sign would not justify using the smaller one-sided probability as a prespecified test. The paired design controls shared pot conditions, while the inference still relies on the independence and probability distribution assumptions for the differences.
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