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Eduardwww [97]
3 years ago
8

Styles Researchers asked 131 college students to listen to a recording of a 20-minute introductory physics lecture. The students

were randomly assigned to a male or female lecturer, each of whom read an identical text. While the lecture was playing, a computer displayed what the volunteers were told was a photo of the lecturer—who was highly attractive in some cases and not as fetching in others. (Earlier volunteers had rated some photos of possible “lecturers” for attractiveness, enabling the researchers to pick the best- and worst-looking.) Taking notes was barred.
After the lecture, participants got a 25-item quiz on the material. For those with the attractive instructor, the average score was 18.27; for those with an unattractive one, the average was 16.68. That gap isn't huge, but it is statistically significant, the researchers said.

After being quizzed on the material, participants were asked to evaluate the lecturers. Sure enough, students found the attractive instructors more motivating, easier to follow and possessed of greater health, intelligence and competence. They also generally agreed about the attractiveness of the lecturers.

1. PUT YOUR NAME AT THE TOP OF THIS DOCUMENT

2. What is the independent variable in the study?

3. What is the dependent variable in the study

4. How did the researchers "operationally define" attractiveness?

5. The results were said to be "statistically significant”. What does that mean?

6. Give one possible confounding variable in the study.

7. If the researchers stated that the results had generalizability", what would that mean?

8. In the context of the study, how would the researchers "debrief" the participants?

9. Give one ethical consideration that would fit this study. (Refer to APA Ethical Guidelines on Blackboard)

10 How would another research check the reliability of this study?

11. If Hawthorne Effect affected the results of the study, what happened?​
Advanced Placement (AP)
1 answer:
Varvara68 [4.7K]3 years ago
4 0

1. PUT YOUR NAME AT THE TOP OF THIS DOCUMENT: Debora Meinn

2. What is the independent variable in the study? The degree of beauty and attractiveness of the speakers. In a scientific study, the independent variable is the one that influences a result to happen, in this case, the beauty of the speakers was what influenced the degree of acceptance of the students, around the lecture.

3. What is the dependent variable in the study: The degree of acceptance of students in relation to the lecture. The dependent variable is one that needs to be influenced by the dependent variable in order to be able to evaluate a result. As we can see in the question above, the degree of beauty of the speakers influenced the degree of acceptance of the students in relation to the intelligence and competence of the speakers about the lecture.

4. How did the researchers "operationally define" attractiveness? They made this definition by evaluating the photos of the speakers, taken by other volunteers, who classified the photos as beautiful or ugly.

5. The results were said to be "statistically significant." What does that mean? It means that the acceptance of listeners to a lecture changes in relation to the beauty of the speakers.

6. Give one possible confounding variable in the study: a possible confounding variable would be the content of the lectures. Confounding variables are elements that can influence both the independent and the dependent variable. Thus, a complex or simple subject addressed as content of the lecture could influence both the perception of the beauty of the speakers and the acceptance of the lecture.

7. If the researchers stated that the results had generalizability ", what would that mean? It means that the results can be adopted as correct in any lectures.

8. In the context of the study, how would the researchers "debrief" the participants? They could ask whether they understood the lecture, whether the subject was spoken clearly, whether the speaker shows confidence, whether the speaker looks smart, whether the speaker looks healthy and whether the speaker dominates the subject matter.

9. Give one ethical consideration that would fit this study. (Refer to APA Ethical Guidelines on Blackboard): The confidentiality of volunteers' responses must be maintained. This is an ethical issue that must be respected in this study, according to APA's ethical guidelines.

10 How would another research check the reliability of this study? Reproducing it with the same variables. This should be done, because a reliable study must allow it to be repeated and will be considered true if the same results are observed.

11. If Hawthorne Effect affected the results of the study, what happened? If the Hawthorne Effect happened, the environment in which the volunteers were subjected interfered with the results. This is because the Hawthorne effect relates the physical conditions of an environment to the productivity of volunteers in relation to some factor. In this case, a more or less comfortable environment may have influenced the volunteers' acceptance of the lecture and the speakers.

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Answer:

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5 0
2 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
X-y=16 7x+2y=13 solving system of Equations by substitution
matrenka [14]

Answer:

The answer is "x= -\frac{19}{5} \ and \ y= - \frac{99}{5}"

Explanation:

\to x-y=16..........(a) \\\\ \to 7x+2y=13.........(b)\\

In equation (a) multiply by 2 then subtract from the equation (b):

7x+2y=13\\\\2x-2y=32\\\\- \  -\ =  -\ \\\\5x = -19 \\\\x= -\frac{19}{5}

put the value of x in equation (a):

-\frac{19}{5} -y=16\\\\ -y=16 +\frac{19}{5}\\\\-y=  \frac{80+19}{5}\\\\y= -\frac{99}{5}

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Um B? not really sure only one would say is B doesn't sound like it would because of organization
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