Answer:
uhh.. false?
Explanation:
if you cant afford the rent you gonna be kicked out.
The conclusion of the research is that we reject the null hypothesis and we conclude that the bag filling machine does not work correctly at the 426 gram setting.
<h3>How to solve hypothesis testing?</h3>
We are given;
Population Mean; μ = 426
Sample mean; x' = 433
Sample size; n = 13
Standard deviation; s = 29
significance level; α = 0.05
Let us define the hypotheses;
Null Hypothesis; H₀: μ = 426 g
Alternative Hypothesis; H_a: μ < 426 g
Formula for the z-score here is;
z = (x' - μ)/(s/√n)
z = (433 - 426)/(29/√13)
z = 0.87
From online p-value from z-score calculator, we have;
p-value = 0.1922
This p-value is greater than the significance value and as such we reject the null hypothesis and we conclude that the bag filling machine does not work correctly at the 426 gram setting.
Read more about Hypothesis testing at; brainly.com/question/15980493
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Answer:
-0.5436
Fairly strong negative correlation
Value of car decreases as age increases.
Explanation:
Age of car(x)
9
7
11
12
8
7
8
11
10
12
6
6
Selling price ($)
8.1
6.0
3.6
4.0
5.0
10.0
7.6
8.0
8.0
6.0
8.6
8.0
The correlation Coefficient calculated using the correlation coefficient calculator is - 0.5436. This depicts a fairly strong negative (negative value in Coefficient value) correlation exists between the age of a car and its value. This means that, the value of a car decreases as age increases.
I think the answer is either example or reason.
