Answer:
Step-by-step explanation:
We would apply the formula for binomial distribution which is expressed as
P(x = r) = nCr × p^r × q^(n - r)
Where
x represent the number of successes.
p represents the probability of success.
q = (1 - r) represents the probability of failure.
n represents the number of trials or sample.
From the information given,
p = 18% = 18/100 = 0.18
q = 1 - p = 1 - 0.18
q = 0.82
n = 5
Therefore,
P(x ≤ 2) = p(x = 0) + p(x = 1) + p(x = 2)
P(x = 0) = 5C0 × 0.18^0 × 0.82^(5 - 0)
P(x = 0) = 0.37
P(x = 1) = 5C1 × 0.18^1 × 0.82^(5 - 1)
P(x = 1) = 0.41
P(x = 2) = 5C2 × 0.18^2 × 0.82^(5 - 2)
P(x = 2) = 0.18
Therefore,
P(x ≤ 2) = 0.37 + 0.41 + 0.18 = 0.96
Answer:
1. y=3x+2
2. slope=3 It represents the rate of which the panda gained weight over the course of 4 weeks
3. 2 It represents the weight of the panda at the first week
Step-by-step explanation:
Answer:
6x10^4
Step-by-step explanation:
Answer:
3
Step-by-step explanation:
To identify the y-intercept represented by the given equation, we need to get the equation into slope-intercept from:
Start with:
Subtract from both sides of the equation:
Divide both sides of the equation by the coefficient of , which is :
Identify the y-intercept:
Answer:
By the Central Limit Theorem, the expected value for the sampling distribution of the number of school days missed due to influenza is 28 days.
Step-by-step explanation:
The Central Limit Theorem estabilishes that, for a normally distributed random variable X, with mean and standard deviation , the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean and standard deviation .
For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.
In this problem, we have that:
The mean of the population is 28 days.
So, by the Central Limit Theorem, the expected value for the sampling distribution of the number of school days missed due to influenza is 28 days.