Answer:
They are dependent because we have to select from people who are given cards.
Step By Step Explanation:
So we'll take away people not given cards first den find the probability of selecting people with cards over the total number of people present .
Probability we'll be equal to = number of people with card(C) two persons/total number of people
Where C represent combination
Answer:
a. z = 2.00
Step-by-step explanation:
Hello!
The study variable is "Points per game of a high school team"
The hypothesis is that the average score per game is greater than before, so the parameter to test is the population mean (μ)
The hypothesis is:
H₀: μ ≤ 99
H₁: μ > 99
α: 0.01
There is no information about the variable distribution, I'll apply the Central Limit Theorem and approximate the sample mean (X[bar]) to normal since whether you use a Z or t-test, you need your variable to be at least approximately normal. Considering the sample size (n=36) I'd rather use a Z-test than a t-test.
The statistic value under the null hypothesis is:
Z= X[bar] - μ = 101 - 99 = 2
σ/√n 6/√36
I don't have σ, but since this is an approximation I can use the value of S instead.
I hope it helps!
Answer: C. Significant at 0.036
Step-by-step explanation:
Given:
Number of selected samples Ns= 500
Number of airplane that arrive on time Na = 482.
Number of airplane that arrive late Nl = 500 - 482 = 18
The probability that an airplane arrive late:
P(L) = Nl/Ns
P(L) = 18/500
P(L) = 0.036
Interpret an event as significant if its probability is less than or equal to 0.05.
Since P(L) < 0.05
P(L) = Significant at 0.036
Answer:
Step-by-step explanation:
To verify, a number needs to be substituted for x in both expressions. Use order of operations to simplify and find the value. The value needs to be the same for both expressions to prove
The cost is dependent on the time played because the cost and go up without the time going up