Answer :
Final answer:
To find the probability that a given rose stem will be shorter than 19.9 inches, you can use the normal distribution and the z-score formula.
Explanation:
To find the probability that a given rose stem will be shorter than 19.9 inches, we can use the normal distribution and the z-score formula. The z-score formula is defined as (x - μ) / σ, where x is the value of interest, μ is the mean, and σ is the standard deviation. In this case, x = 19.9 inches, μ = 18.49 inches, and σ = 3.007 inches.
Substituting the values into the formula, we get (19.9 - 18.49) / 3.007 = 1.781. To find the probability corresponding to this z-score, we can use the cumulative distribution function (CDF) of the standard normal distribution.
In R, we can use the pnorm() function to calculate the probability. The code would be pnorm(1.781, mean = 0, sd = 1). This would give us the probability that a given rose stem is shorter than 19.9 inches. The result would be approximately 0.9636 or 96.36%.
Final Answer:
The probability that a given rose stem will be shorter than 19.9 inches is approximately 0.6491.
Explanation:
To find this probability using the normal distribution in R, we'll use the `pnorm` function, which calculates the cumulative distribution function for a given value, mean, and standard deviation in a normal distribution.
Given:
Mean length of rose stems [tex](\(\mu\))[/tex] = 18.49 inches
Standard deviation [tex](\(\sigma\))[/tex] = 3.007 inches
Length given (x) = 19.9 inches
Using the formula for the cumulative distribution function:
[tex]\[ P(X < x) = P(X < 19.9) \][/tex]
In R, using the `pnorm` function:
```R
[tex]mean_length < - 18.49[/tex]
[tex]std_dev < - 3.007[/tex]
[tex]length_given < - 19.9[/tex]
[tex]probability < - pnorm(length_given, mean = mean_length, sd = std_dev)```[/tex]
After calculation, the probability is approximately 0.6491, rounded to four decimal places. This represents the probability that a given rose stem will be shorter than 19.9 inches based on the provided normal distribution parameters.