Answer: (24, 12), (36, 0)
Step-by-step explanation:
Let x be the number of flowering plants and y be the number of non- flowering plants.
According to the question, we need to minimize the cost of plants.
Subject to the constraints,
To find the feasible region find the points of the equation to plot it on graph.
For the first equation , at x=0 y=0 and at x=4, y=2
For the second equation , at x=0 y=36 and at x=36, y=0
Thus points for eq (1) are (0,0) and (4,2) and points for equation (2) are (0,36) and (36,0).
Now, plot it on graph, we get the shaded feasible region as shown in the graph.
and we can see the vertices of the feasible region = (24, 12), (36, 0)
Devin borrowed $1,058 at 13 percent for nine months.
We have to calculate the interest paid.
Interest =
Substituting the values of
Principal = $1058
Rate = 13%
Time = 9 months = year
Interest =
Interest = 103.155
= 103.16
So, Devin will pay 103.16 as the interest.
Therefore, Option A is the correct answer.
Answer:
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)
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 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:
Alternative hypothesis:
The second step is calculate the mean difference
The third step would be calculate the standard deviation for the differences, and we got:
The 4 step is calculate the statistic given by :
The next step is calculate the degrees of freedom given by:
Now we can calculate the p value, since we have a two tailed test the p value is given by:
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 .
Answer:
Here, BRX and NJY are two triangles in which,
BR = 30 cm, RX = 40 cm, BX = 60 cm, NJ = 15 cm, JY = 20 cm and NY = 30 cm,
Also, m∠B = m∠N, m∠R = m∠J and m∠X = m∠Y,
By the property of congruence,
,
and
Thus, By AAA similarity postulate,
Hence, proved.
