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In: Advanced Math
Question 1. Answer the following questions by making a truth table. Be sure to explain what...
Question 1. Answer the following questions by making a truth table. Be sure to explain what feature of the truth table you’ve drawn justifies your answer. (That is, indicate which part, or parts, of the table show what the answer to the question is and why)
a) Is ¬P, P ↔ Q, P → Q a logically consistent set of sentences?
b) Is A ∧ (B ∨ C), ¬((A ∨ B) ∧ C) a logically consistent set of sentences?
c) Does ? → ¬? entail ¬(?∨?)?
d) Does the set ¬(L ∧ M), ¬(M ∧ N) entail ¬M?
this is the complete question
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Expert Solution
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Colby Messinger answered 1 year agoRelated Solutions
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tautology by using truth table and using list of equivalences.
(This problem should be solved using 2 different methods mentioned
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propositions are logically equivalent, by using truth table and
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Question 1: The following table to answer the following questions.
Question 1: The following table to answer the following questions. a. Sketch the aggregate supply(s) and aggregate demand diagram(s). b. What is the equilibrium output and price level? c. If aggregate demand shifts right, what is long-run equilibrium output? d. If aggregate demand shifts left, what is equilibrium long-run output? e. For an economy at long-run equilibrium, would you suggest using aggregate demand to alter the level of output or to control any inflationary increases in the price level? Why?
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Answer the following question, making sure to explain your
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An organization estimates that 31% of new cars have a cosmetic
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Question 1. Given the following table answer the questions. Score Respondent &nb
Question 1. Given the following table answer
the questions.
Score
Respondent X Y x-x (x-x)
2
y-y (
y-y) 2 (
x-x) ( y-y)
A.
Rose 18 92
B.
Bush 36 65
C.
Novicevic 24 91
D.
Vitell 28 85
E.
Walker 25
70
a. Calculate Pearson’s Product Movement
Correlation Coefficient (r). Show your work.
b. Based on the correlation coefficient which
you calculated, in two words how would you
describe the relationship between the two variables in the
“test”?
Question 2. PHR Score
Score
Respondent X Y x-x (x-x)
2
y-y (
y-y) 2 (
x-x) ( y-y)
A....
by utilizing this chi-Square Test answer the following question and explain what the table means. Are...
by utilizing this chi-Square Test answer the following question
and explain what the table means.
Are Americans in favor of the use of unmanned drones by
police agencies in the United States?
Table 4
Chi-Square Test for Association: Gender, Opinion
Gender
-1
0
1
Total
39
17
44
100
Male
39.2
25.13
35.68
0.0010
2.6278
1.9409
39
33
27
99
Female
38.8
24.87
35.32
0.0010
2.6544
1.9605
Total
78
50
71
199
Note. Possible responses (-1, 0, and 1). -1...
QUESTION 1 Pearson’s Product-Moment Correlation Coefficient 1. Given the following table answer the questions. &nb
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Pearson’s Product-Moment Correlation
Coefficient
1. Given the following table answer the
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Score
Respondent X Y x-x (x-x)
2
y-y (
y-y) 2 (
x-x) ( y-y)
A.
Rose 18 92
B.
Bush 36 65
C.
Novicevic 24 91
D.
Vitell
28 85
E.
Walker 25
70
a. Calculate Pearson’s Product Movement
Correlation Coefficient (r). (2 points)
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describe the relationship between the two variables in the “test”?
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2. PHR Score
Score
Respondent X Y x-x (x-x)
2
y-y (...
QUESTION 1 Pearson’s Product-Moment Correlation Coefficient 1. Given the following table answer the questions. &nb
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Pearson’s Product-Moment Correlation
Coefficient
1. Given the following table answer the
questions.
Score
Respondent X Y x-x (x-x)
2
y-y (
y-y) 2 (
x-x) ( y-y)
A.
Rose 18 92
B.
Bush 36 65
C.
Novicevic 24 91
D.
Vitell
28 85
E.
Walker 25
70
a. Calculate Pearson’s Product Movement
Correlation Coefficient (r). (2 points)
b. Based on the correlation coefficient which
you calculated, in two words how would you
describe the relationship between the two variables in the “test”?
(2 points)
2. PHR Score
Score
Respondent X Y x-x (x-x)
2
y-y (
y-y)...
Fill in the table and answer the following questions
Fill in the table and answer the following questions
**** (Use D-method)
Class
Frequency
10 – 12
6
13 – 15
4
16 – 18
14
19 – 21
15
22 – 24
8
25 – 27
2
28 – 30
1
50
Class
Real limits
f
cf
x
d
fd
10 – 12
13 – 15
16 – 18
...
Question (1) Answer each of the following questions briefly. These questions are based on the following...
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briefly.
These questions are based on the following relational
schema:
Emp(eid: integer, ename: string, age: integer, salary:
real)
Works(eid: integer, did: integer, pcttime: integer)
Dept(did: integer, dname: string, budget: real, managerid:
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Based on the EViews result in Table 1, answer the following questions. Table 1: Estimated Regression...
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questions.
Table 1: Estimated Regression Result
Dependent Variable: LGDP
Method: Least Squares
Sample: 2000Q1 2012Q4
Included observations: 52
Variable Coefficient Std. Error t-Statistic Prob.
LM2 0.796910 0.032383 24.60868 0.0000
LREER -0.060125 0.065220 -0.921892 0.3613
LSDR 0.051745 0.074618 0.693465 0.4914
LTBR 0.029174 0.007715 3.781436 0.0004
C 2.795406 0.427355 6.541183 0.0000
R-squared 0.986591 Mean dependent var 13.28409
Adjusted R-squared 0.985450 S.D. dependent var 0.429315
S.E. of regression 0.051786 Akaike info criterion...
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