HELP PLEASE IM ON THE EDGE OF FAILING
2 answers:
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Answer:
The saving of all three person are
The Pedro's saving is $ 30
The Michael's saving is $ 10
The Kevin's saving is $ 90
Step-by-step explanation:
Given as :
The three person namely Michael , Pedro , Kevin
The total saving of all together = $ 130
Let The Michael's saving = $ M
The Pedro's saving = $ P
The Kevin's saving = $ k
I.e Michael's saving + Pedro's saving + Kevin's saving = $ 130
Or, M + P + K = $ 130
again ,
Kevin saved 3 times more than Pedro
I.e K = 3 × P
And , Michael save $ 20 less than Pedro
I.e M = P - $ 20
Now
∵ M + P + K = $ 130
or, ( P - $ 20) + P + 3 × P = $ 130
Or, 5 P - $ 20 = $ 130
Or, 5 P = $ 130 + $ 20
Or, 5 P = $ 150
∴ P = $
I.e P = $ 30
So The Pedro's saving = P = $ 30
And
M = P - $ 20
∴, M = $ 30 - $ 20
I.e M = $ 10
So, The Michael's saving = M = $ 10
Similarly
K = 3 × P
∴ k = 3 × $ 30
I.e K = $ 90
So, The Kevin's saving = k = $ 90
Hence The saving of all three person are
The Pedro's saving is $ 30
The Michael's saving is $ 10
The Kevin's saving is $ 90
Answer
Answer:
Hello
Step-by-step explanation:
The domain is limited with 2 lines parallel: -1 ≤ x ≤ 1
and the disk ? (inside of a circle) of center (0,0) and radius 2
Answer:
If we compare the p value and the significance level given we see that
so we can conclude that we have enough evidence to reject the null hypothesis, so we can conclude that the true mean is higher than 12 at 5% of signficance.
Step-by-step explanation:
Data given and notation
represent the sample mean
represent the population standard deviation for the sample
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 mean is equal to 12, the system of hypothesis would be:
Null hypothesis:
Alternative hypothesis:
Since we know the population deviation, is better apply a z test to compare the actual mean to the reference value, and the statistic is given by:
(1)
z-test: "Is used to compare group means. Is one of the most common tests and is used to determine if the mean is (higher, less or not equal) to an specified value".
Calculate the statistic
We can replace in formula (1) the info given like this:
P-value
Since is a right tailed test the p value would be:
Conclusion
If we compare the p value and the significance level given we see that
so we can conclude that we have enough evidence to reject the null hypothesis, so we can conclude that the true mean is higher than 12 at 5% of signficance.