1answer.
Ask question
Login Signup
Ask question
All categories
  • English
  • Mathematics
  • Social Studies
  • Business
  • History
  • Health
  • Geography
  • Biology
  • Physics
  • Chemistry
  • Computers and Technology
  • Arts
  • World Languages
  • Spanish
  • French
  • German
  • Advanced Placement (AP)
  • SAT
  • Medicine
  • Law
  • Engineering
Anit [1.1K]
2 years ago
5

3x(x-y)-p(y-x) factorise by taking out the common factor​

Mathematics
1 answer:
puteri [66]2 years ago
4 0

Answer:

Rewrite as

3x(x-y) -p[-(x-y)]

We factored out a minus from the second bracket. I chose the second bracket arbitrarily... You can chose the 1st bracket if you want.

Now when those two minus interact... They became Positive(From rules of sign Multiplication)

3x(x-y) + p(x-y)

Now factor out (x-y) from both

(x-y) [ 3x + p]

So that's our answer!!

(x-y)[ 3x + p ].

You might be interested in
Can someone help me please?
morpeh [17]
Heya bro!!

------------------------------------

If uh r asking about scientific notification then x must be in lowest form but decimal point is after 1.

So correct answer is 1.04 * 10^2 .

If uh wanna check multiply it.. Uh will get 104.

Hope it helps uh!
5 0
3 years ago
Resistors are labeled 100 Ω. In fact, the actual resistances are uniformly distributed on the interval (95, 103). Find the mean
Zinaida [17]

Answer:

E[R] = 99 Ω

\sigma_R = 2.3094 Ω

P(98<R<102) = 0.5696

Step-by-step explanation:

The mean resistance is the average of edge values of interval.

Hence,

The mean resistance, E[R] = \frac{a+b}{2}  = \frac{95+103}{2} = \frac{198}{2} = 99 Ω

To find the standard deviation of resistance, we need to find variance first.

V(R) = \frac{(b-a)^2}{12} =\frac{(103-95)^2}{12} = 5.333

Hence,

The standard deviation of resistance, \sigma_R = \sqrt{V(R)} = \sqrt5.333 = 2.3094 Ω

To calculate the probability that resistance is between 98 Ω and 102 Ω, we need to find Normal Distributions.

z_1 = \frac{102-99}{2.3094} = 1.299

z_2 = \frac{98-99}{2.3094} = -0.433

From the Z-table, P(98<R<102) = 0.9032 - 0.3336 = 0.5696

5 0
3 years ago
Please help me I will give a brainly!!!!
nydimaria [60]

Answer:

Yes

Step-by-step explanation:

1 : The athlete's hands push the medicine ball forward. The medicine ball pushes the athlete's hands backward.

2: Friction

3: The first pair of action-reaction force pairs is: foot A pushes ball B to the right; and ball B pushes foot A to the left. The second pair of action-reaction force pairs is: foot C pushes ball B to the left; and ball B pushes foot C to the right

7 0
2 years ago
Cu ochii iesiti din orbite propozitie dau coroana
Y_Kistochka [10]

Answer:

idfk lol hehe hope this helps

Step-by-step explanation:

5 0
2 years ago
The amount of time all students in a very large undergraduate statistics course take to complete an examination is distributed c
Anestetic [448]

Answer:

a) The mean is \mu = 60

b) The standard deviation is \sigma = 9

Step-by-step explanation:

Normal Probability Distribution:

Problems of normal distributions can be solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the zscore of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

The probability a student selected at random takes at least 55.50 minutes to complete the examination equals 0.6915.

This means that when X = 55.5, Z has a pvalue of 1 - 0.6915 = 0.3085. This means that when X = 55.5, Z = -0.5

So

Z = \frac{X - \mu}{\sigma}

-0.5 = \frac{55.5 - \mu}{\sigma}

-0.5\sigma = 55.5 - \mu

\mu = 55.5 + 0.5\sigma

The probability a student selected at random takes no more than 71.52 minutes to complete the examination equals 0.8997.

This means that when X = 71.52, Z has a pvalue of 0.8997. This means that when X = 71.52, Z = 1.28

So

Z = \frac{X - \mu}{\sigma}

1.28 = \frac{71.52 - \mu}{\sigma}

1.28\sigma = 71.52 - \mu

\mu = 71.52 - 1.28\sigma

Since we also have that \mu = 55.5 + 0.5\sigma

55.5 + 0.5\sigma = 71.52 - 1.28\sigma

1.78\sigma = 71.52 - 55.5

\sigma = \frac{(71.52 - 55.5)}{1.78}

\sigma = 9

\mu = 55.5 + 0.5\sigma = 55.5 + 0.5*9 = 55.5 + 4.5 = 60

Question

The mean is \mu = 60

The standard deviation is \sigma = 9

6 0
2 years ago
Other questions:
  • Quadrilateral OPQR is inscribed inside a circle as shown below. Write a proof showing that angles O and Q are supplementary. It
    8·1 answer
  • What is the slope for -2x-y=-5 ?
    12·1 answer
  • A pretzel has a mass of 5 grams. What is its mass in milligrams?
    7·1 answer
  • Sally makes deposits into a retirement account every year from the age of 30 until she retires at age 65. a) Sally deposits $125
    5·1 answer
  • Can some one help please
    10·1 answer
  • Which number is a solution of the inequality? Choose one:
    13·1 answer
  • The dashed figure is a dilation of the solid figure. Which of the following statements is true?
    9·2 answers
  • Jackie is knitting a scarf with her grandmother. Yesterday, her grandmother used 2/3 of a skein of wool and Jackie used 1/3 of a
    15·2 answers
  • Find the 1st quartile of the data below<br><br>19 20 22 24 25 25 27 30 34 35 40​
    5·1 answer
  • Write the equation of a line that is perpendicular to y=-x-6 and that passes through the point (-9,-4).​
    7·1 answer
Add answer
Login
Not registered? Fast signup
Signup
Login Signup
Ask question!