Answer:
Step-by-step explanation:
Hello!
For me, the first step to any statistics exercise is to determine what is the variable of interest and it's distribution.
In this example the variable is:
X: height of a college student. (cm)
There is no information about the variable distribution. To estimate the population mean you need a variable with at least a normal distribution since the mean is a parameter of it.
The option you have is to apply the Central Limit Theorem.
The central limit theorem states that if you have a population with probability function f(X;μ,δ²) from which a random sample of size n is selected. Then the distribution of the sample mean tends to the normal distribution with mean μ and variance δ²/n when the sample size tends to infinity.
As a rule, a sample of size greater than or equal to 30 is considered sufficient to apply the theorem and use the approximation.
The sample size in this exercise is n=50 so we can apply the theorem and approximate the distribution of the sample mean to normal:
X[bar]~~N(μ;σ2/n)
Thanks to this approximation you can use an approximation of the standard normal to calculate the confidence interval:
98% CI
1 - α: 0.98
⇒α: 0.02
α/2: 0.01

X[bar] ± 
174.5 ± 
[172.22; 176.78]
With a confidence level of 98%, you'd expect that the true average height of college students will be contained in the interval [172.22; 176.78].
I hope it helps!
Answer:
see below
Step-by-step explanation:
12 banana muffins, 10 chocolate muffins, 6 blueberry muffins, and 7 vanilla muffins.
The total number of muffins is 35 muffins
P(vanilla) = number of vanilla/ total
= 7/35
= 1/5
This is not likely to occur so it is an unlikely event
Step-by-step explanation:
The answer is in the picture
Answer:
7 ounces.
Step-by-step explanation:
35 divided by 5 = 7.
Just because you flip and 8 does not mean it turns into an infinite sign, but it does definitely look like it :)