In the Social Psychology course, you receive a score of 77 on the second exam. You are told that the standard deviation of the s
econd exam is 8 and that your score is .75 standard deviations below the mean
What is your new on the exam?
What is your new on the exam?
1 answer:
Answer:
a) mean = u = 83
b) Your friend's score is 1.625 standard deviations below the mean
Step-by-step explanation:
Note:
- The correct question is as follows:
" In the Social Psychology course, you receive a score of 77 on the second exam. You are told that the standard deviation of the second exam is 8 and that your score is .75 standard deviations below the mean. "
Find:
a.What is the class mean of the second exam?
b.Your friend scored a 70 on the second exam. How many standard deviations below the mean is your friend’s score?
Solution:
- The class mean can be calculated by using the given data of your score being 0.75 standard deviation less than mean:
Your score = mean - 0.75*standard deviation.
- Plug in the values:
77 = mean - 0.75*8
mean = u = 83
- Now your friend has a score of 70 on second exam, using the above relation again we have:
Friend's score = mean - a*standard deviation.
Where, a is the constant to be found:
70 = 83 - a*8
a = (70 - 83 ) / -8
a = 1.625
- Your friend's score is 1.625 standard deviations below the mean
You might be interested in
Answer:
A. It is NOT a subspace of R^3x3
B. It IS a subspace of R^3x3
C. It IS a subspace of R^3x3
D. It is NOT a subspace of R^3x3
E It is NOT a subspace of R^3x3
F. It IS a subspace of R^3x3
Step-by-step explanation:
A way to show that a set is not a subspace, it´s enough to show that some properties of the definition of a vector spaces does not apply in that set or that operations under that set are not closed (we can get out of the set with linear combinations of elements in the set).
A. For definition of subspace, we know that every element has to have an additive inverse, but in set "A" (The 3×3 matrices whose entries are all greater than or equal to 0 ) every entry is greater than or equal to zero. In this set, there´s no additive inverse with the usual sum in R^3x3.
If sufficient to prove a set is a subspace showing that zero is in the set, there are additive inverses and that operations (sum and scalar multiplication) are closed in that set.
B. Notice that the matrix 0 is in "B" (The 3×3 matrices A such that the vector (276) is in the kernel of A), also notice if A(276)=0 then -A(276)=0 so every additive inverse (of an element in "B") belongs to "B".
Now we just have to prove that operations are closed in "B". Let X,Y matrices in set "B" and let z a scalar from the field. We are going to show that:
zX+Y ∈ B
For definition of set B:
X(276)=0 and Y(276)=0
So for zX+Y:
(zX+Y)(276)=zX(276)+Y(276)=z(0)+(0)
(zX+Y)(276)=0
So (276) is in the kernel of zX+Y, i.e (zX+Y) ∈ B.
We conclude "B" (with usual sum and scalar product of matrices) is a subspace of R^3x3
C. Notice the matrix 0 ∈ "C" (The diagonal 3×3 matrices) and there are all the additive inverse of the elements in "C". With the usual sum and scalar product, if the only zero entries are above and under the diagonal, it´ll stay like that no matter what linear combination we do because sum of matrices is entry by entry, and for every entry above or under the diagonal the sum and scalar product of two elements is going to be 0 in the same entries under and above the diagonal. "C" is a subspace
D. In set "D" (The non-invertible 3×3 matrices) it´s necessary to show that the sum is not closed:
Consider the following matrices and their sum:
X+Y=I
We showed that sum is not closed in "C", so "C" is not a subspace of R^3x3
E. The definition of a reduced row-echelon matrix requires that the first element of a row must be 1, but with sum and scalar multiplication is easy to show that these pivot could easily change its value. So the set "E" is not closed under the usual operations under R^3x3.
F. The argument is similar to part C. No matter what linear combination we do, the last row is always going to be zero (with the usual operations in R^3x3). 0 ∈ "F" (The 3×3 matrices with all zeros in the third row) and all additive inverses (for an element in "F") is in "F", we affirm that "F" is a subspace of R^3x3