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
pishuonlain [190]
2 years ago
7

Find the x and y intercepts for the following. X= -(y-1) ^2-2

Mathematics
1 answer:
Vanyuwa [196]2 years ago
6 0

Answer:

x intercepts: (-3, 0)

y intercepts: (None)

Step-by-step explanation:

You might be interested in
PLEASE HELP REAL ANSWERS!
Norma-Jean [14]
I’m sorry i don’t know but i’m thinking it’s B not sure tho
6 0
3 years ago
Whoaa buddy ole pal dont answer this it isnt a question
shutvik [7]

Answer: fgm

Step-by-step explanation:

6 0
3 years ago
Help pls! First to answer gets brainliest
amid [387]
Answer: $3.92
STEOS TO SOLUTION: take $19.62 and divide by 5
7 0
2 years ago
The weight of an adult swan is normally distributed with a mean of 26 pounds and a standard deviation of 7.2 pounds. A farmer ra
Snezhnost [94]
Let X denote the random variable for the weight of a swan. Then each swan in the sample of 36 selected by the farmer can be assigned a weight denoted by X_1,\ldots,X_{36}, each independently and identically distributed with distribution X_i\sim\mathcal N(26,7.2).

You want to find

\mathbb P(X_1+\cdots+X_{36}>1000)=\mathbb P\left(\displaystyle\sum_{i=1}^{36}X_i>1000\right)

Note that the left side is 36 times the average of the weights of the swans in the sample, i.e. the probability above is equivalent to

\mathbb P\left(36\displaystyle\sum_{i=1}^{36}\frac{X_i}{36}>1000\right)=\mathbb P\left(\overline X>\dfrac{1000}{36}\right)

Recall that if X\sim\mathcal N(\mu,\sigma), then the sampling distribution \overline X=\displaystyle\sum_{i=1}^n\frac{X_i}n\sim\mathcal N\left(\mu,\dfrac\sigma{\sqrt n}\right) with n being the size of the sample.

Transforming to the standard normal distribution, you have

Z=\dfrac{\overline X-\mu_{\overline X}}{\sigma_{\overline X}}=\sqrt n\dfrac{\overline X-\mu}{\sigma}

so that in this case,

Z=6\dfrac{\overline X-26}{7.2}

and the probability is equivalent to

\mathbb P\left(\overline X>\dfrac{1000}{36}\right)=\mathbb P\left(6\dfrac{\overline X-26}{7.2}>6\dfrac{\frac{1000}{36}-26}{7.2}\right)
=\mathbb P(Z>1.481)\approx0.0693
5 0
2 years ago
It takes Gaby only a few hours to read a long book. Which is the dependent variable in this situation?
slamgirl [31]
I believe it is C, but correct me if I'm wrong.
4 0
3 years ago
Read 2 more answers
Other questions:
  • Simplify. t^-6 * t^2
    10·1 answer
  • Suppose you take a survey of all the schools in your state. What would you expect the relationship between the number of student
    15·1 answer
  • 3(2x + 1) = -5x -5 + 3x solve by algebraic expressions​
    7·1 answer
  • Write the point -slope form of the equation of each line given the slope and y-intercept. Slope=(2/3), y-intercept =0
    7·1 answer
  • What is 0.000057 in scientific notation?a.b.c.d.
    14·2 answers
  • Solve the following equation. Then place the correct number in the box provided. 3y + 2 ≥ 5y +8
    11·2 answers
  • Your phone plan gives you 1000 minutes at a cost of $35. if you go over you will be charged $0.12 per minute. This month you use
    7·2 answers
  • Find the measure of the missing angle *
    7·1 answer
  • Which conclusions are valid given that ABCD is a parallelogram? Select True or False for each statement.
    9·1 answer
  • I need help, what is 9^-2+181-69? this is math
    5·1 answer
Add answer
Login
Not registered? Fast signup
Signup
Login Signup
Ask question!