某一特定的流媒体服务平台声称,用户每次访问该平台观看内容的时间平均超过 15 分钟。该平台的一个数据分析团队想要验证这一说法。他们随机抽取了 80 名用户作为样本,并记录了每位用户在单次访问中观看内容的时间。结果发现观看时间的样本均值为 16 分钟。假设观看时间的总体标准差为 分钟。
- (i)
解释为什么该团队应该进行单侧检验。
- (ii)
在 5% 的显著性水平下的检验表明该平台的说法是成立的。
解释为什么该团队能够在对用户观看时间分布一无所知的情况下进行假设检验。
- (iii)
求 的取值范围。
- (iv)
解释,在题目背景下,“在 5% 的显著性水平下”的含义。
它不会直接告诉你答案,而是问你卡在哪一步看看 AI 是怎么陪你一步步弄懂这道题的
完整解法
6(i)
1. Identify the directional nature of the claim to justify a 1-tail test
The claim specifically states that the average time spent is more than 15 minutes. This corresponds to an alternative hypothesis of , which is directional. Hence, a 1-tail test is appropriate.
The team wants to test the claim that the average time spent is more than 15 minutes, which is a directional alternative hypothesis (). Therefore, a 1-tail test is required.
6(ii)
1. State the condition and the theorem that justifies the validity of the hypothesis test
Since the sample size is large (), by the Central Limit Theorem, the sample mean is approximately normally distributed.
Since the sample size is large enough (i.e. ), by the Central Limit Theorem, the sample mean time spent, , is approximately normally distributed.
6(iii)
1. Formulate the test statistic under the null hypothesis.
Let be the population mean of time spent watching content.
Under , the test statistic is given by:
2. Determine the critical value and the condition for rejecting $H_0$.
For the platform's claim to be valid, must be rejected at the significance level.
The critical value for an upper 1-tail test at the significance level is .
Therefore, the test statistic must fall in the critical region:
3. Solve the inequality to find the range of $\sigma$.
Since population standard deviation must be positive ():
4. State the final valid range of values for $\sigma$.
Combining this with the fact that , the range of values is:
6(iv)
1. State the meaning of the significance level in the context of the problem
The significance level is the probability of rejecting the null hypothesis when it is true. In this context, it means there is a probability of of concluding that the average time a user spends watching content per visit is more than minutes (rejecting ), when the true average time is actually minutes ( is true).
It means there is a probability of of concluding that the average time a user spends watching content per visit is more than minutes, when the true average time is actually minutes.
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