Question 5 1 point Fifty soil samples from a construction site were tested for shear strength The mean of the samples was determined to be 3785 kN m2 The standard deviation was estimated to be 440 kN...

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Question 5 (1 point) Fifty soil samples from a construction site were tested for shear strength. The mean of the samples was determined to be $3,785 \mathrm{kN} / \mathrm{m}^{2}$. The standard deviation was estimated to be $440 \mathrm{kN} / \mathrm{m}^{2}$. Assuming the data are Normally distributed, what is the probability of observing a shear strength less than 2,961? Your Answer:

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#### Solution By Steps ***Step 1: Z-Score Calculation*** Calculate the Z-score using the formula: \( Z = \frac{X - \mu}{\sigma} \), where \( X \) is the value (2,961 kN/m²), \( \mu \) is the mean (3,785 kN/m²), and \( \sigma \) is the standard deviation (440 kN/m²). ***Step 2: Z-Score Interpretation*** Interpret the Z-score obtained in the previous step to find the corresponding probability from the standard normal distribution table. ***Step 3: Probability Calculation*** Find the probability of observing a shear strength less than 2,961 kN/m² using the standard normal distribution table. #### Final Answer The probability of observing a shear strength less than 2,961 kN/m² is approximately 0.1587. #### Key Concept Normal Distribution #### Key Concept Explanation In a normal distribution, the probability of a random variable falling below a certain value can be calculated using Z-scores and the standard normal distribution table. This concept is crucial in various fields, including statistics, engineering, and natural sciences, to analyze and interpret data distributions.

Follow-up Knowledge or Question

What is the concept of the standard normal distribution and how is it related to the given problem?

How can we use z-scores to calculate probabilities in a normal distribution?

What is the relationship between the mean, standard deviation, and the shape of a normal distribution curve?

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