Answer:
r = - 11
Step-by-step explanation:
Calculate the slope m using the slope formula and equate to - 4
m =
with (x₁, y₁ ) = (4, 5) and (x₂, y₂ ) = (8, r)
m = =
= - 4 ( multiply both sides by 4 )
r - 5 = - 16 ( add 5 to both sides )
r = - 11
Answer:
When we compare the significance level we see that
so we can reject the null hypothesis at 10% of significance. So the the true mean is difference from 21 at this significance level.
Step-by-step explanation:
Data given and notation
represent the sample mean
represent the population standard deviation
sample size
represent the value that we want to test
represent the significance level for the hypothesis test.
z would represent the statistic (variable of interest)
represent the p value for the test (variable of interest)
State the null and alternative hypotheses.
We need to conduct a hypothesis in order to check if the average age of the evening students is significantly different from 21, the system of hypothesis would be:
Null hypothesis:
Alternative hypothesis:
The statistic is given by:
(1)
Calculate the statistic
We can replace in formula (1) the info given like this:
P-value
Since is a two sided test the p value would be:
Conclusion
When we compare the significance level we see that
so we can reject the null hypothesis at 10% of significance. So the the true mean is difference from 21 at this significance level.
Answer:
Check explanation below.
Step-by-step explanation:
Hello!
The objective of this experiment is to test if doctor Doom is controlling the neighbors' minds from his new Lair. To test this a random sample of 11 neighbors was taken and a "free will" test was administrated before the Villain's Lair was constructed and again after it was finished.
This experiment type where you have a single sample and the variable is measured "before" and "after" applying a treatment (in this case, that doctor Doom has moved into town) is a classic example of a paired sample test. You have two dependent variables, X₁: "Results of the free will test before Dr. Doom Lair is constructed" and X₂: "Results of the free will test after Dr. Doom Lair is constructed", with these variables you can establish a new variable, Xd, that I'll define as " X₁- X₂", and the objective of my hypothesis test will be to know if there is any change after the Lair is done, if there is, in fact, a change then the population mean of the difference will be nonzero, symbolically: μd ≠ 0
Using the data I've calculated the summary measures for Xd:
sample mean: Xd[bar]= 3.18
sample standard deviation: Sd= 5.44
The statistic hypothesis is:
H₀: μd = 0
H₁: μd ≠ 0
α: 0.05
(There is no signification level specified, so I've chosen the most common one)
Assuming that the variable difference, Xd, has a normal distribution, and with unknown population variance, the best statistic to use is the Students-t for paired samples:
t= Xd[bar] - μd ~t
Sd/√n
This test is two-tailed, so you will reject at low values of the statistic or at high values of it.
If t ≤ -2.228 or t ≥ 2.228 then you reject the null hypothesis.
If -2.228 < t < 2.228 then you don't reject the null hypothesis.
t= <u> Xd[bar] - μd </u> = <u> 3.18 - 0 </u> = 1.94
Sd/√n 5.44/√11
Since the statistic value t= 1.94 then the decision is to not reject the null hypothesis.
So, with a significance level of 5% there is not enough evidence to reject the null hypothesis, this means that the population mean of the difference on the free will test results of the neighbors before and after the Villain's Lair was constructed is equal to cero. In other words, there is not enough evidence to conclude that Dr. Doom is controlling the neighbor's minds.
I hope it helps!