Answer:
No, she will have 140 cards in 4 months
Step-by-step explanation:
the equations is:
f(x) = 100 + 10x
now x = 4
f(4) = 100 + 10(4)
f(4) = 100 + 40
f(4) = 140
140 does not = 60
Answer:
6(1-5m) = 6
−
30
m
3(4+3r) = 12
+
9
r
3(6r+8) = 18
r
+
24
4(811+ 1+2) = 3256
-(-2-n) 7) = 14
+
7
n
-6(7k+11) = −
42
k
−
66
-3(71+1) = −
216
-6(1 +116) = −
702
-10(a - 5) = −
10
a
+
50
-3(1 + 2v) = −
3
−
6
v
-4(3r+2) = −
12
r
−
8
(3 - 76)-2 = −
75
(-2018x+20) = −
2018
x
+
20
(7 + 190)-15 = 182
(x + 1)14 = 14
x
+
14
B) -23 because a double negative is a positive so it’s -35 + 12 which is -23
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!