Jamal has two investments, one in Company A, and another in Company B. Jamal purchased 300 shares in Company A at $1.45 per shar
1 answer:
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Answer:
Part A: 25% of 50 = 12.5
Part B: 25% of 60 = 15
Part C: 50% of 60 = 30
Part D: 75% of 60 = 45
Part E: 75% of 30 = 22.5
Part F: 100% of 22.5 = 22.5
Part G: 10% of 22.5 = 2.25
Part H: 50% of 45.7 = 22.85
Step-by-step explanation:
To find - Do you know the answer to
Part A: 25% of 50 =
Part B: 25% of 60 =
Part C: 50% of 60 =
Part D: 75% of 60 =
Part E: 75% of 30 =
Part F: 100% of 22.5 =
Part G: 10% of 22.5 =
Part H: 50% of 45.7 =
Proof -
Part A :
25% of 50 = =
= 12.5
⇒25% of 50 = 12.5
Part B :
25% of 60 = =
= 15
⇒25% of 60 = 15
Part C :
50% of 60 = =
= 30
⇒50% of 60 = 30
Part D :
75% of 60 = =
= 45
⇒75% of 60 = 45
Part E :
75% of 30 = =
= 22.5
⇒75% of 30 = 22.5
Part F :
100% of 22.5 = = 22.5
⇒ 100% of 22.5 = 22.5
Part G :
10% of 22.5 = = 2.25
⇒ 10% of 22.5 = 2.25
Part H :
50% of 45.7 = =
= 22.85
⇒50% of 45.7 = 22.85
Answer:
Therefore the two values required are 2.08 and -11.08.
Step-by-step explanation:
i) f(x) = + 10x - 12 is a quadratic equation and a quadratic equation will have two roots whose values when substituted in to the given quadratic equation will give the value.
ii) The question is therefore essentially asking us to find the roots of the given quadratic equation.
This can be done by equating the given quadratic equation to zero and then solving the equation for its roots.
∴ + 10x -12 = 0 ⇒ x = (-10 ±
) ÷ 2
= (-10 ± 12.166)÷2 = 2.08, -11.08
Therefore the two values required are 2.08 and -11.08
Answer:
Hello please your question is in-complete attached is the complete question
degree of freedom = -62.90 ( e )
Step-by-step explanation:
The formula for calculating the F-statistic/test statistic is
test - statistic = Coef ( LBW) / SE Coef ( LBW )
= -0.72399 / 0.01151
= - 62.90
the degree of freedom the F-statistic has = -62.90
F-statistic test is any statistical test in which the test statistic has an F-distribution under the null hypothesis. the value of the test can be gotten from running an ANOVA test or regression analysis on the statistical models
