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image_path = '/mnt/data/17335542485612z982wpw.jpg' image = Image.open(image_path) image.show()I have displayed the image you've uploaded. Let me now extract the mathematical details from the image and assist you with solving or explaining it. Please give me a moment. pytesseract

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text = pytesseract.image_to_string(image) textThe image contains a statistical question related to hypothesis testing. Here’s a summary of the problem and the steps required:

Problem Overview:

In 2015, the average time spent watching streaming services was 25.2 minutes per day. A consumer research company believes that the average time is different today. To test this claim, a sample of 36 households was surveyed, and their average time spent watching streaming is provided.

Data:

The data consists of 36 time observations (in minutes), which are the times each household spent watching streaming content. Some of the values are: $29.27, 23.95, 37.79, 22.46, 23.61, \dots$

Hypothesis Testing:

• Null Hypothesis (H₀): The average time spent watching streaming is still 25.2 minutes. $H_0: \mu = 25.2$

• Alternative Hypothesis (H₁): The average time spent watching streaming is different from 25.2 minutes. $H_1: \mu \neq 25.2$

Tasks:

1. Calculate the test statistic: This involves using the sample mean and sample standard deviation to perform a t-test.
2. Calculate the p-value: This helps in determining if the result is statistically significant.
3. Make a decision: Based on the p-value, decide whether to reject the null hypothesis.
4. Conclusion: Conclude whether there is enough evidence to support the claim that the average time is different from 25.2 minutes.

Next Steps:

You need to calculate the sample mean, sample standard deviation, and then compute the test statistic and p-value.

Would you like assistance in performing these calculations?