在一个月的时间里,花圃中兰花植物的高度增长量的均值为 1.34 cm,标准差为 0.24 cm。在花圃中播放舒缓音乐,一个月后,测量了 55 株兰花植物的随机样本,高度增长量为 xx cm。 在 5% 的显著性水平下进行检验,以确定兰花植物高度的增长是否有了显著改善。

  1. ((i))

    写出该检验的合适假设,并说明理由,指出是否需要任何假设以使该检验有效。

  2. ((ii))

    求使检验结果不拒绝原假设的 xˉ\bar{x} 取值集合。

  3. ((iii))

    结合本题背景,解释“在 5% 的显著性水平下”的含义。

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完整解法

5((i))

1. State the appropriate null and alternative hypotheses.

Let μ\mu be the population mean increase in heights of the orchid plants after soothing music is introduced.

The test is to determine if there has been an improvement (which corresponds to an increase in heights), so we use a one-tailed test:
H0:μ=1.34H_0: \mu = 1.34
H1:μ>1.34H_1: \mu > 1.34

2. Determine if any assumption is needed and provide a reason based on the sample size.

No assumption about the population distribution (e.g. assuming it is normally distributed) is needed.

Reason: Since the sample size n=55n = 55 is large (n≥30n \ge 30), by the Central Limit Theorem, the distribution of the sample mean Xˉ\bar{X} is approximately normal regardless of the population's distribution.

答案

Let μ\mu be the population mean increase in heights of the orchid plants, in cm.
H0:μ=1.34H_0: \mu = 1.34
H1:μ>1.34H_1: \mu > 1.34

No assumption about the population distribution is needed. Since the sample size n=55n = 55 is large (n≥30n \ge 30), by the Central Limit Theorem, the sample mean Xˉ\bar{X} is approximately normally distributed.

5((ii))

1. Identify the condition for not rejecting the null hypothesis based on the critical $z$-value.

From part (i), this is a right-tailed test (H1:μ>1.34H_1: \mu > 1.34).
At the 5%5\% level of significance, the critical value is z=1.6449z = 1.6449.
To not reject H0H_0, the test statistic ZZ must not fall in the critical region, so we require:
Z≤1.6449Z \le 1.6449

2. Set up the inequality using the standard test statistic formula for the sample mean.

Substitute Z=xˉ−μσnZ = \frac{\bar{x} - \mu}{\frac{\sigma}{\sqrt{n}}} into the inequality:
xˉ−1.340.2455≤1.6449\frac{\bar{x} - 1.34}{\frac{0.24}{\sqrt{55}}} \le 1.6449

3. Solve for $\bar{x}$.

xˉ≤1.34+1.6449(0.2455)\bar{x} \le 1.34 + 1.6449 \left(\frac{0.24}{\sqrt{55}}\right)
xˉ≤1.34+0.0532\bar{x} \le 1.34 + 0.0532
xˉ≤1.3932\bar{x} \le 1.3932
Therefore, the set of values is xˉ≤1.39\bar{x} \le 1.39 (to 3 s.f.).

答案

xˉ≤1.39\bar{x} \le 1.39 (to 3 s.f.)

5((iii))

1. State the meaning of the level of significance in the specific context of the question.

The level of significance is the probability of rejecting the null hypothesis H0H_0 when H0H_0 is actually true.
In this context, H0H_0 represents the scenario where the mean increase in height is 1.34 cm (no improvement), and rejecting it means concluding there is an improvement.
Therefore, a 5% level of significance means there is a 5% probability of concluding that there is a significant improvement in the increase in heights of the orchid plants, when in fact there is no improvement.

答案

It means there is a 5% probability of concluding that there is a significant improvement in the increase in heights of the orchid plants, when in fact there is no improvement (the mean increase in height remains 1.34 cm).

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