Respuesta :
Answer:
Step-by-step explanation:
Let X denote the amount of time spending exercise in a given week
Given that X normal (3.8, (0.8)²)
Thus we know that
[tex]Z= \frac{x-3.8}{0.8} N(0,1)[/tex]
i)P [ amount of time less than two hour ]
= P[x < 2]
ii)
[tex]P [x < 2]=P[\frac{x-3.8}{0.8} < \frac{2-3.8}{0.8} ]\\\\=P[z<-2.25][/tex]
= P[z > 2.25] ∴ symmetric
= P[0 ≤ z ≤ ∞] - P[0 ≤ z ≤ 2.25]
= 0.5 - 0.48778
= 0.0122
iii)
P[2 < x < 4]

Answer:
i) Check attached image.
ii) P(x < 2) = 0.0122
iii) Check attached image.
iv) P(2 < x < 4) = 0.5865
Step-by-step explanation:
This is a normal distribution problem with
Mean = μ = 3.8 hours per week
Standard deviation = σ = 0.8 hours per week
i) The probability that a person picked at random exercises less than 2 hours per week on a shaded graph?
P(x < 2)
First of, we normalize/standardize the 2 hours per week
The standardized score for any value is the value minus the mean then divided by the standard deviation.
z = (x - μ)/σ = (2.0 - 3.8)/0.80 = -2.25
The probability that someone picked at random exercises less than 2 hours weekly is shown in the attached image to this question.
P(x < 2) = P(z < -2.25)
ii) To determine the probability that someone picked at random exercises less than 2 hours weekly numerically
P(x < 2) = P(z < -2.25)
We'll use data from the normal probability table for these probabilities
P(x < 2) = P(z < -2.25) = 0.01222 = 0.0122 to 4 d.p
iii) The probability that a person picked at random exercises between 2 and 4 hours per week on a shaded graph?
P(2 < x < 4)
We then normalize or standardize 2 hours and 4 hours.
For 2 hours weekly,
z = -2.25
For 4 hours weekly,
z = (x - μ)/σ = (4.0 - 3.8)/0.80 = 0.25
The probability that someone picked at random exercises between 2 and 4 hours weekly is shown in the attached image to this question.
P(2 < x < 4) = P(-2.25 < z < 0.25)
iv) To determine the probability that a person picked at random exercises between 2 and 4 hours per week numerically
P(2 < x < 4) = P(-2.25 < z < 0.25)
We'll use data from the normal probability table for these probabilities
P(2 < x < 4) = P(-2.25 < z < 0.25)
= P(z < 0.25) - P(z < -2.25)
= 0.59871 - 0.01222 = 0.58649 = 0.5865
Hope this Helps!!!
