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True [87]
3 years ago
14

Suppose that the weight of seedless watermelons is normally distributed with mean 6.2 kg. and standard deviation 1.5 kg. Let X b

e the weight of a randomly selected seedless watermelon. Round all answers to two decimal places.
A. X ~ N(___ , ____ )

B. What is the median seedless watermelon weight?____ kg.

C. What is the Z-score for a seedless watermelon weighing 8 kg?

D. What is the probability that a randomly selected watermelon will weigh more than 7 kg?

E. What is the probability that a randomly selected seedless watermelon will weigh between 4 and 5 kg?

F. The 80th percentile for the weight of seedless watermelons is _____ kg.
Mathematics
1 answer:
Oksi-84 [34.3K]3 years ago
7 0

Answer:

A.

  • X ~ N(6.2kg, 2.25kg²)

B. What is the median seedless watermelon weight?____ kg.

  • 6.2 kg

C. What is the Z-score for a seedless watermelon weighing 8 kg?

  • 1.2

D. What is the probability that a randomly selected watermelon will weigh more than 7 kg?

  • 0.2981

E. What is the probability that a randomly selected seedless watermelon will weigh between 4 and 5 kg?

  • 0.1411

F. The 80th percentile for the weight of seedless watermelons is _____ kg.

  • 7.5 kg

Explanation:

<em>A. X ~ N(___ , ____ )</em>

<em></em>

<em></em>

The distribution of a random variable in a sample extracted from a population that follows a normal distribution is represented by the notation:

  • X ~ N(μ, σ²)

Where:

  • X is the random variable
  • N stands for normal distribution function
  • μ is the median of the population
  • σ² is the variance of the population

Here, you have:

  • μ = 6.2 kg
  • σ² = (1.5kg)² = 2.25 kg²
  • X ~ N(6.2kg, 2.25kg²)

<em>B. What is the median seedless watermelon weight?____ kg.</em>

<em></em>

<em></em>

The median of a random variable that follows a normal distribution is equal to the mean, thus it is 6.2 kg.

<em>C. What is the Z-score for a seedless watermelon weighing 8 kg?</em>

<em />

The z-score is the standardized value of the random variable. It measures how far away is the variable from the mean.

It is calcuated with the formula:

        Z-score(X=x)=\dfrac{x-\mu}{\sigma}

Thus for X=8:

      Z(X=8)=\dfrac{8-6.2}{1.5}=1.2

<em>D. What is the probability that a randomly selected watermelon will weigh more than 7 kg?</em>

<em></em>

You want P(X>7)

You must use the tables for the standardized normal distribution.

Find the corresponding Z-score for X = 7

       Z(X=7)=\dfrac{7-6.2}{1.5}\approx0.53

You must use a table for the standardized normal distribution which gives the cumulative distribution or area under the curve of the standard normal distribution and find P(Z>0.53).

That is the area to the right of Z=0.53. The table shows 0.2981.

Thus, the probability that a randomly selected seedless watermelon will weigh more than 7 kg is 0.2981

<em>E. What is the probability that a randomly selected seedless watermelon will weigh between 4 and 5 kg?</em>

<em></em>

For this case you must find the Z-scores for X=4 and X=5 and then find the area under the curve of the standardized normal distribution between those two Z-scores.

  • Z(X=4) = (4 - 6.2)/1.5 ≈ -1.47

  • Z(X=5) = (5 - 6.2)/1.5 = -0.8

<em></em>

In the table the area to the right of Z  = - 1.47 is 1 - 0.0708 = 0.9292

<em></em>

And the area to the right of Z = - 0.8 is 1 - 0.2119 = 0.7881

Thus, the area in between is the difference 0.9292 - 0.7881 = 0.1411.

<em>F. The 80th percentile for the weight of seedless watermelons is _____ kg.</em>

<em></em>

The 80th percentile is the weigh of the top 20% seedless watermelons: this is 80% of the weighs are below that weight.

You must find the Z-score for which the area under the curve is less than 0.80.

The area less than 0.80 is 1 less the area that is less than 0.20.

From the table, the Zscore that defines the area less than 0.20 is 0.845 (interpolating).

Thus, the 80th percentile is the X value that makes the Z-score greater than or equal to 0.845:

  • Z ≥ 0.845
  • (X - 6.2)/1.5 ≥ 0.845
  • X ≥ 0.845 × 1.5 + 6.2
  • X ≥ 7.4675
  • X ≥ 7.5 kg ← answer
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