**Normal Distribution** 2. You have a normal distribution with a mean \( \mu = 54 \) and a standard deviation \( \sigma = 7 \). A. **Label the axis for this normal distribution.** A normal distribution curve is drawn with x-axis values labeled as 33, 40, 47, 54, 61, 68, and 75. B. **95% of the data falls between 40 and 68.** C. **What is the probability of getting a value between 45 and 62? Show work.** \[ P(45 \leq X \leq 62) = P\left(\frac{45 - 54}{7} \leq Z \leq \frac{62 - 54}{7}\right) \] Calculation gives a probability of 0.7744. D. **What is the probability of getting a value above 58? Show work.** Calculation involves finding \( P(Z \geq 0.57) \) using the standard normal table, leading to a probability value (annotations show sub-steps including Z-value transformation). E. **What observation cuts off the top 10% of the data? Show work.** Calculation involves finding the Z-score that corresponds to the 90th percentile and applying it to the normal distribution equation. 3. The length of time it takes for a manufacturer to build a car is normally distributed with a mean of 20 hours and a standard deviation of 1.5 hours. Use this information to answer the following questions. A. **What percent of cars are made in less than 17 hours? Show work.** Calculations would involve finding \( P(X < 17) \) using the Z-transform and standard normal distribution table.

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**Normal Distribution**

2. You have a normal distribution with a mean \( \mu = 54 \) and a standard deviation \( \sigma = 7 \).

   A. **Label the axis for this normal distribution.**

   A normal distribution curve is drawn with x-axis values labeled as 33, 40, 47, 54, 61, 68, and 75.

   B. **95% of the data falls between 40 and 68.**

   C. **What is the probability of getting a value between 45 and 62? Show work.**

   \[
   P(45 \leq X \leq 62) = P\left(\frac{45 - 54}{7} \leq Z \leq \frac{62 - 54}{7}\right)
   \]

   Calculation gives a probability of 0.7744.

   D. **What is the probability of getting a value above 58? Show work.**

   Calculation involves finding \( P(Z \geq 0.57) \) using the standard normal table, leading to a probability value (annotations show sub-steps including Z-value transformation).

   E. **What observation cuts off the top 10% of the data? Show work.**

   Calculation involves finding the Z-score that corresponds to the 90th percentile and applying it to the normal distribution equation.

3. The length of time it takes for a manufacturer to build a car is normally distributed with a mean of 20 hours and a standard deviation of 1.5 hours. Use this information to answer the following questions.

   A. **What percent of cars are made in less than 17 hours? Show work.**

   Calculations would involve finding \( P(X < 17) \) using the Z-transform and standard normal distribution table.
Transcribed Image Text:**Normal Distribution** 2. You have a normal distribution with a mean \( \mu = 54 \) and a standard deviation \( \sigma = 7 \). A. **Label the axis for this normal distribution.** A normal distribution curve is drawn with x-axis values labeled as 33, 40, 47, 54, 61, 68, and 75. B. **95% of the data falls between 40 and 68.** C. **What is the probability of getting a value between 45 and 62? Show work.** \[ P(45 \leq X \leq 62) = P\left(\frac{45 - 54}{7} \leq Z \leq \frac{62 - 54}{7}\right) \] Calculation gives a probability of 0.7744. D. **What is the probability of getting a value above 58? Show work.** Calculation involves finding \( P(Z \geq 0.57) \) using the standard normal table, leading to a probability value (annotations show sub-steps including Z-value transformation). E. **What observation cuts off the top 10% of the data? Show work.** Calculation involves finding the Z-score that corresponds to the 90th percentile and applying it to the normal distribution equation. 3. The length of time it takes for a manufacturer to build a car is normally distributed with a mean of 20 hours and a standard deviation of 1.5 hours. Use this information to answer the following questions. A. **What percent of cars are made in less than 17 hours? Show work.** Calculations would involve finding \( P(X < 17) \) using the Z-transform and standard normal distribution table.
Expert Solution
Step 1

Let X be a random variable, such that, X~ N(54,72)

X~N(54,72)Z=X-547~N(0,1)

D.)

P[X>58]=PX-547>58-547]=P[Z>47]=1-Φ(47)=1-0.716=0.284

Hence, the probability of getting a value above 58 is 0.284.

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