The average daily volume of a computer stock in 2011 was u= 35.1 million shares, according to a reliable source. A stock analyst believes that the stock volume in 2018 is different from the : days in 2018, he finds the sample mean to be 27.1 million shares, with a standard deviation of s = 13.3 million shares. Test the hypotheses by constructing a 95% confidence interval. Comple (a) State the hypotheses for the test. 35.1 million shares 35.1 million shares Hoi

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Question 9

**Introduction**

The analysis involves examining the variation in average daily trading volume of a specific computer stock from 2011 to 2018. The average daily volume in 2011 was recorded as μ = 35.1 million shares, according to a reliable source. A stock analyst suspects a difference in the stock volume for 2018. Using a random sample of 30 trading days in 2018, the analyst finds the sample mean to be 27.1 million shares with a standard deviation of s = 13.3 million shares. The purpose is to test this hypothesis by constructing a 95% confidence interval.

**Hypothesis Testing**

(a) State the hypotheses for the test:

- Null Hypothesis (H₀): μ = 35.1 million shares
- Alternative Hypothesis (H₁): μ ≠ 35.1 million shares

**Image Description**

The image contains drop-down menus next to the hypotheses, allowing selection for different values and signs to complete the hypothesis statements. This suggests an interactive component, where users can input and test different scenarios based on the provided data.

The task is to validate or refute the analyst’s belief by examining the confidence interval, which will determine if the 2018 average volume significantly differs from 35.1 million shares.
Transcribed Image Text:**Introduction** The analysis involves examining the variation in average daily trading volume of a specific computer stock from 2011 to 2018. The average daily volume in 2011 was recorded as μ = 35.1 million shares, according to a reliable source. A stock analyst suspects a difference in the stock volume for 2018. Using a random sample of 30 trading days in 2018, the analyst finds the sample mean to be 27.1 million shares with a standard deviation of s = 13.3 million shares. The purpose is to test this hypothesis by constructing a 95% confidence interval. **Hypothesis Testing** (a) State the hypotheses for the test: - Null Hypothesis (H₀): μ = 35.1 million shares - Alternative Hypothesis (H₁): μ ≠ 35.1 million shares **Image Description** The image contains drop-down menus next to the hypotheses, allowing selection for different values and signs to complete the hypothesis statements. This suggests an interactive component, where users can input and test different scenarios based on the provided data. The task is to validate or refute the analyst’s belief by examining the confidence interval, which will determine if the 2018 average volume significantly differs from 35.1 million shares.
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