Answer:
Step-by-step explanation:
Hello!
You have two random samples obtained from two different normal populations.
Sample 1
n₁= 15
X[bar]₁= 350
S₁= 12
Sample 2
n₂= 17
X[bar]₂= 342
S₂= 15
At α: 0.05 you need to obtain the p-value for testing variances for a one tailed test.
If the statistic hypotheses are:
H₀: σ₁² ≥ σ₂²
H₁: σ₁² < σ₂²
The statistic to test the variances ratio is the Stenecor's-F test. ~
The p-value is:
P(≤0.64)= 0.02
I hope it helps!
Let x be the discrete random variable whose value is the number of successes in n trials.
The probability distribution function for x of the binomial distribution B(n,p) is defined as
Given that the random sample size is
let x represent number of customers who purchase running shoes
Let "p" be the probability of customers in a sporting goods store purchase a pair of running shoes.
It is given that 70% of the customers in a sporting goods store purchase a pair of running shoes.
Thus
Thus the Probability distribution of x is given by
, where
Answer:
a)
b)
c)
d)
e)
Step-by-step explanation:
Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".
The central limit theorem states that "if we have a population with mean μ and standard deviation σ and take sufficiently large random samples from the population with replacement, then the distribution of the sample means will be approximately normally distributed. This will hold true regardless of whether the source population is normal or skewed, provided the sample size is sufficiently large".
Let X the random variabl length of advertisements produced by Majesty Video Production Inc. We know from the problem that the distribution for the random variable X is given by:
We take a sample of n=16 . That represent the sample size.
a. What can we say about the shape of the distribution of the sample mean time?
From the central limit theorem we know that the distribution for the sample mean is also normal and is given by:
b. What is the standard error of the mean time?
The standard error is given by this formula:
c. What percent of the sample means will be greater than 31.25 seconds?
In order to answer this question we can use the z score in order to find the probabilities, the formula given by:
And we want to find this probability:
d. What percent of the sample means will be greater than 28.25 seconds?
In order to answer this question we can use the z score in order to find the probabilities, the formula is given by:
And we want to find this probability:
e. What percent of the sample means will be greater than 28.25 but less than 31.25 seconds?"
We want this probability:
