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2 years ago

Please Full Explanation Please Will mark Brainlist :))

Mathematics

1 answer:

Anna [14]2 years ago

4 0

Answer:

≈ 3.16 units

Step-by-step explanation:

To determine the distance between the two points, we need to use the distance formula. The distance formula states that;

$\sqrt{(x_{2} - x_{1})^{2} + (y_2 - y_1)^{2} }$

Given coordinates;

(6, -5)
(5, -8)

When we substitute the coordinates into the formula, we get;

$\implies \sqrt{[5 - 6]^{2} + [-8 - (-5)]^{2} }$

When we simplify the root, we get;

$\implies \sqrt{[-1]^{2} + [-8 + 5]^{2} }$
$\implies \sqrt{[-1]^{2} + [-3]^{2} }$
$\implies \sqrt{1 +9 }$
$\implies \sqrt{10}$ units ≈ 3.16 units (Using calculator)

Therefore, the distance between the points is about 3.16 units.

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a) Are dependent since we are mesuring at the same individuals but on different times and with a different method

b) If we see the qq plot we don't have any significant deviation for the values and we don't have any heavy tail so we can conclude that we can approximate the differences with the normal distribution.

c) $p_v =P(t_{(12)}>0.969) =0.353$

So the p value is higher than the significance level given, so then we can conclude that we FAIL to reject the null hypothesis. So we can conclude that the mean differences is NOT significantly different from 0 .

Step-by-step explanation:

A paired t-test is used to compare two population means where you have two samples in which observations in one sample can be paired with observations in the other sample. For example if we have Before-and-after observations (This problem) we can use it.

The Q-Q plot, or quantile-quantile plot, "is a graphical tool to help us assess if a set of data plausibly came from some theoretical distribution such as a Normal or exponential".

Let put some notation

x=value for A , y = value for B

A: 379, 378, 328, 372, 325, 304, 356, 309, 354, 318, 355, 392

B: 372, 376, 328, 368, 283, 252, 369, 321, 379, 303, 328, 411

(a) Are the two samples paired or independent? Explain your answer.

Are dependent since we are mesuring at the same individuals but on different times and with a different method

(b) Make a normal QQ plot of the differences within each pair. Is it reasonable to assume a normal population of differences?

The first step is calculate the difference $d_i=A_i-B_i$ and we obtain this:

d: 7,2,0,4,42,52,-13,-12,-25,15,27,-19

In order to do the qqplot we can use the following R code:

d<-c(7,2,0,4,42,52,-13,-12,-25,15,27,-19)

qqnorm(d)

And the graph obtained is attached.

If we see the qq plot we don't have any significant deviation for the values and we don't have any heavy tail so we can conclude that we can approximate the differences with the normal distribution.

(c) Choose a test appropriate for the hypotheses above and justify your choice based on your answers to parts (a) and (b). Perform the test by computing a p-value, make a test decision, and state your conclusion in the context of the problem

The system of hypothesis for this case are:

Null hypothesis: $\mu_A- \mu_B = 0$