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Elanso [62]
3 years ago
14

Describe the contribution of waste heat from energy conversion devices to projected climate disruption

Advanced Placement (AP)
1 answer:
Tatiana [17]3 years ago
4 0

Answer:

Waste heat from energy convertion plants has led to national warming.

Explanation:

Waste heat from the above plants are emitted directly into the environment, this heat does not become extinct, it becomes part of the environment causing a warming effect, and a negative change in the climate.

Further Explanation

Other than the above cause, global warming also contributes to the warming of the enviroment.

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Which researcher went around the world, testing people from various cultures on their ability to identify pictures of facial exp
fiasKO [112]
D) Walter Cannon I think
6 0
3 years ago
Match the values associated with this data set to their correct descriptions. {6, 47, 49, 15, 43, 41, 7, 36}quartile38.5median11
cluponka [151]
Answers:
1) The first quartile (Q₁) = 11 ;  2) The median = 38.5 ; 
3) The third quartile (Q₃) = 45 ;
4) The difference of the largest value and the median = 10.5 .
_______
Explanation: 

Given this data set with 8 (eight) values:  →  {6, 47, 49, 15, 43, 41, 7, 36};
→Rewrite the values in increasing order; to help us find the median, first quartile (Q,) and third quartile (Q₃) : → {6, 7, 15, 36, 41, 43, 47, 49}.
→We want to find; or at least match; the following 4 (four) values [associated with the above data set] — 38.5, 11, 10, 45 ;

1) The first quartile (Q₁);  2) The median;  3) The third quartile (Q₃); & 
4) The difference of the largest value and the median.

Note: Let us start by finding the "median". This will help us find the correct values for the descriptions in "Numbers 2 & 4" above.
The "median" would be the middle number within a data set, when the values are placed in smallest to largest (or, largest to smallest).  However, our data set contains an EVEN number [specifically, "8" (eight)] values. In these cases , we take the 2 (two) numbers closest to the middle, and find the "mean" of those 2 (two) numbers; and that value obtained is the median.  So, in our case, the 2 (two) numbers closest to the middle are:
"36 & 41".  To get the "mean" of these 2 (two) numbers, we add them together to get the sum; and then, we divide that value by "2" (the number of values we are adding):
→  36 + 41 = 77;  → 77/2 = 38.5 ; → which is the median for our data set; and is a listed value.
→Now, examine Description "(#4): The difference of the largest value and the median"—(SEE ABOVE) ;
→ We can calculate this value.  We examine the values within our data set to find the largest value, "49".  Our calculated "median" for our dataset, "38.5".  So, to find the difference, we subtract: 49 − 38.5 = 10.5 ; which is a given value".
→Now, we have 2 (two) remaining values, "11" & "45"; with only 2 (two) remaining "descriptions" to match;
 →So basically we know that "11" would have to be the "first quartile (Q₁)";  & that "45" would have to be the "third quartile (Q₃)".
→Nonetheless, let us do the calculations anyway.
→Let us start with the "first quartile";  The "first quartile", also denoted as Q₁, is the median of the LOWER half of the data set (not including the median value)—which means that about 25% of the numbers in the data set lie below Q₁; & that about 75% lie above Q₁.). 
→Given our data set:   {6, 7, 15, 36, 41, 43, 47, 49};
We have a total of 8 (eight) values; an even number of values. 
The values in the LOWEST range would be:  6, 7, 15, 36.
The values in the highest range would be:  41, 43, 47, 49.
Our calculated median is: 38.5 .  →To find Q₁, we find the median of the numbers in the lower range. Since the last number of the first 4 (four) numbers in the lower range is "36"; and since "36" is LESS THAN the [calculated] median of the data set, "38.5" ; we shall include "36" as one of the numbers in the "lower range" when finding the "median" to calculate Q₁
→ So given the lower range of numbers in our data set:  6, 7, 15, 36 ;
We don't have a given "median", since we have an EVEN NUMBER of values.  In this case, we calculate the MEDIAN of these 4 (four) values, by finding the "mean" of the 2 (two) numbers closest to the middle, which are "7 & 15".  To find the mean of "7 & 15" ; we add them together to get a sum; 
then we divide that sum by "2" (i.e. the number of values added up);
   → 7 + 15 = 22 ;  → 22 ÷ 2 = 11 ;  ↔ Q₁ = 11.
Now, let us calculate the third quartile; also known as "Q₃".
    Q₃ is  the median of the last half of the higher values in the set, not including the median itself.  As explained above, we have a calculated median for our data set, of 38.5; since our data set contains an EVEN number of values.  We now take the median of our higher set of values (which is Q₃). Since our higher set of values are an even number of values; we calculate the median of these 4 (four) values by taking the mean of the 2 (two) numbers closest to the center of the these 4 (four) values.  This value is Q₃.  →Given our higher set of values:  41, 43, 47, 49 ;  → We calculate the "median" of these 4 (four) numbers; by taking the mean of the 2 (two) numbers in the middle; "43 & 47".
 → Method 1): List the integers from "43 to 47" ;  → 43, 44, 45, 46, 47;
→ Since this is an ODD number of integers in sequential order;
→ "45" is not only the "median"; but also the "mean" of (43 & 47); 
thus, 45 = Q₃; 
→ Method 2):  Our higher set of values:  41, 43, 47, 49 ;
→ We calculate the "median" of these 4 (four) numbers; by taking the
"mean" of the 2 (two) numbers in the middle; "43 & 47";  We don't have a given "median", since we have an EVEN NUMBER of values.  In this case, we calculate the MEDIAN of these 4 (four) values, by finding the mean of the 2 (two) numbers closest to the middle, which are "43 & 47."  To find the mean of "43 & 47"; we add them together to get a sum; then we divide that sum by "2" (i.e. the number of values added);
→ 43 + 47 = 90 ;  → 90 ÷ 2 = 45 ;  → 45 = Q₃ .
4 0
3 years ago
Read 2 more answers
I WILL GIVE BRAINLIEST IF IT IS A GOOD ANSWER IN SAQ FORMAT
meriva
I did this a couple of weeks ago...

The spirit of Saint Benedict's Rule is summed up in the motto of the Benedictine Confederation: pax ("peace") and the traditional ora et labora ("pray and work"). Compared to other precepts, the Rule provides a moderate path between individual zeal and formulaic institutionalism; because of this middle ground it has been widely popular. Benedict's concerns were the needs of monks in a community environment: namely, to establish due order, to foster an understanding of the relational nature of human beings, and to provide a spiritual father to support and strengthen the individual's ascetic effort and the spiritual growth that is required for the fulfillment of the human vocation, theosis.

The Rule of Saint Benedict has been used by Benedictines for 15 centuries, and thus St. Benedict is sometimes regarded as the founder of Western monasticism due to reform that his rules had on the current Catholic hierarchy.[2] There is, however, no evidence to suggest that Benedict intended to found a religious order in the modern sense and it was not until the Late Middle Ages that mention was made of an "Order of Saint Benedict". His Rule was written as a guide for individual, autonomous communities, and all Benedictine Houses (and the Congregations in which they have grouped themselves) still remain self-governing. Advantages seen in retaining this unique Benedictine emphasis on autonomy include cultivating models of tightly bonded communities and contemplative lifestyles. Perceived disadvantages comprise geographical isolation from important activities in adjacent communities. Other perceived losses include inefficiency and lack of mobility in the service of others, and insufficient appeal to potential members. These different emphases emerged within the framework of the Rule in the course of history and are to some extent present within the Benedictine Confederation and the Cistercian Orders of the Common and the Strict Observance.
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