determine sample standard deviation weight. 0.87 0.91 0.89 0.83 0.91 0.88 0.90 0.88 0.88 0.94 0.91 0.95 0.91 0.88 0.88 0.92 0.82 0.86 0.86 0.87 0.86 0.89 0.84 0.85 0.90 0.86 0.87 0.93 0.89 0.79 0.93 0.84 0.90 0.86 0.93 0.91 0.87 0.82 0.84 0.84 0.88 0.88 0.85 0.83 0.90 0.86 0.84 0.87


The sample standard deviation of the given weights is approximately \( 0.0347 \).

Would you like any further details or explanations?

Here are five related questions:
1. How is the sample standard deviation different from the population standard deviation?
2. How do outliers affect the standard deviation of a dataset?
3. What does a small standard deviation indicate about a dataset?
4. Can you calculate the variance from the standard deviation? How?
5. How does the mean compare to the median in this dataset?

**Tip:** Always use the sample standard deviation when working with a sample from a larger population, as it accounts for the variability within the sample size.

Determine sample standard deviation weight. 0.87 0.91 0.89 0.83 0.91 0.88 0.90 0.88 0.88 0.94 0.91 0.95 0.91 0.88 0.88 0.92 0.82 0.86 0.86 0.87 0.86 0.89 0.84 0.85 0.90 0.86 0.87 0.93 0.89 0.79 0.93 0.84 0.90 0.86 0.93 0.91 0.87 0.82 0.84 0.84 0.88 0.88 0.85 0.83 0.90 0.86 0.84 0.87

Learn how to calculate the sample standard deviation for a dataset of weights including values like 0.87, 0.91, and others. This statistical problem covers key concepts such as standard deviation, sample data analysis, and variance, suitable for students in Grades 10-12.

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