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Sergio [31]
4 years ago
14

1. Factor x²+5x-24 2. Factor 2n²-5n-3

Mathematics
1 answer:
Fynjy0 [20]4 years ago
6 0

Given problems;

 1. Factor;  x²+5x-24

To factor this equation, we must understand that this is a quadratic equation.

A quadratic equation usually has two roots.

  • Equate to zero;

            x²+5x-24 = 0

  • Then find two numbers whose product is -24 and their sum is +5

  the numbers are  +8 and -3

 then replace 5x with the number;

        x² + 8x - 3x - 24  = 0

Now factorize;

     x(x +8) - 3(x + 8) = 0

        (x-3)(x+8)  = 0

Factoring gives (x-3)(x+8)

2. Factor 2n² - 5n -3;

Equate to zero;

   2n² - 5n -3 = 0

Find the number whose sum is -5 and the product gives -6( 2 x -3);

      the number is -6 and +1;

   2n² - 6n + n -3 = 0

   2n(n-3) + 1(n-3) = 0

     (2n + 1)(n-3) = 0

The factor of the equation is (2n + 1)(n-3).

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Consider all angles whose reference angle is 45° with terminal sides not in Quadrant I.The angles that share the same cosine val
Oksana_A [137]

Solution:

As we know reference angle is smallest angle between terminal side and X axis.

As cosine 45 ° is always positive in first and fourth quadrant.

i.e CosФ, Cos (-Ф) or Cos(2π - Ф) have same value.

As, Cos 45°, Cos (-45°) or Cos ( 360° - 45°)= Cos 315°are same.

So, Angles that share the same Cosine value as Cos 45° have same terminal sides  will be in Quadrant IV having value Either Cos (-45°) or Cos (315°).

Also, Cos 45° = Sin 45° or Sin 135° i.e terminal side in first Quadrant or second Quadrant.



6 0
3 years ago
Read 2 more answers
sketch and label the sampling distribution for the sample proportion of games containing a "big bang", according to the Central
Daniel [21]

Answer:  D

Step-by-step explanation:

Sketch and label the sampling distribution for the sample proportion of games containing a big bang, according to the Central Limit Theorem, assuming that the grandfather's null hypothesis is true. Also check whether or not the conditions hold for the CLT to apply. Of the 95 games in our sample, 47 contained a big bang.

8 0
3 years ago
What is the slope of the line that passes through the pair of points (2, 5) and (8, 3)
raketka [301]

Answer:

slope = - \frac{1}{3}

Step-by-step explanation:

Calculate the slope m using the slope formula

m = (y₂ - y₁ ) / (x₂ - x₁ )

with (x₁, y₁ ) = (2, 5) and (x₂, y₂ ) = (8, 3)

m = \frac{3-5}{8-2} = \frac{-2}{6} = - \frac{1}{3}

7 0
4 years ago
A sea turtle swims at a speed of 27 kilometers per hour. A girl swims 14 decimeters per second. 1 m = 10 dm 1000 m = 1 km How mu
insens350 [35]
The sea turtle's speed is
v_{t} = (27 \, \frac{km}{h} )*(1000 \, \frac{m}{km} )*( \frac{1}{60} \, \frac{h}{min} ) = 450 \, \frac{m}{min}

The girl's speed is
v_{g} = (14 \, \frac{dm}{s} )*( \frac{1}{10} \, \frac{m}{dm} )*(60 \, \frac{s}{min} ) = 84 \, \frac{m}{min}

The ratio of the turtle's speed to that of the girl is
\frac{v_{t}}{v_{g}} = \frac{450}{84} =5.357

Answer: 5.36 faster  (nearest hundredth)


4 0
4 years ago
Read 2 more answers
Each person in random samples of 207 male and 253 female working adults living in a certain town in Canada was asked how long, i
Sergeu [11.5K]

Answer:

The null hypothesis failed to be rejected.

There is not enough evidence to support the claim that the mean daily conmute time for males is significantly bigger than the mean daily conmute time for females (P-value=0.155).

Step-by-step explanation:

The data is:

Males n1=207 M1=31.6 s1=24.0

Females n2=253 M2=29.3 s2=24.3

This is a hypothesis test for the difference between populations means.

The claim is that the mean daily conmute time for males is significantly bigger than the mean daily conmute time for females.

Then, the null and alternative hypothesis are:

H_0: \mu_m-\mu_f=0\\\\H_a:\mu_m-\mu_f> 0

The significance level is 0.05.

The sample 1 (males), of size n1=207 has a mean of 31.6 and a standard deviation of 24.

The sample 2 (females), of size n2=253 has a mean of 29.3 and a standard deviation of 24.3.

The difference between sample means is Md=2.3.

M_d=M_m-M_f=31.6-29.3=2.3

The estimated standard error of the difference between means is computed using the formula:

s_{M_d}=\sqrt{\dfrac{\sigma_1^2}{n_1}+\dfrac{\sigma_2^2}{n_2}}=\sqrt{\dfrac{24^2}{207}+\dfrac{24.3^2}{253}}\\\\\\s_{M_d}=\sqrt{2.783+2.334}=\sqrt{5.117}=2.262

Then, we can calculate the t-statistic as:

t=\dfrac{M_d-(\mu_m-\mu_f)}{s_{M_d}}=\dfrac{2.3-0}{2.262}=\dfrac{2.3}{2.262}=1.017

The degrees of freedom for this test are:

df=n_1+n_2-1=207+253-2=458

This test is a right-tailed test, with 458 degrees of freedom and t=1.017, so the P-value for this test is calculated as (using a t-table):

P-value=P(t>1.017)=0.155

As the P-value (0.155) is bigger than the significance level (0.05), the effect is not significant.

The null hypothesis failed to be rejected.

There is not enough evidence to support the claim that the mean daily conmute time for males is significantly bigger than the mean daily conmute time for females.

7 0
3 years ago
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