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DerKrebs [107]
3 years ago
6

Which is the most reasonable estimation for the weight of a kitten?

Mathematics
1 answer:
Zielflug [23.3K]3 years ago
6 0
Depending on the age of the kitten they can weigh anywhere between 1 to 2 1/2 pounds or even 3 pounds if its a big kitten. Hope this answers your question!:)
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Which function has a domain of {x | x8}?
mylen [45]

Answer:

b, f(x) - x+8 -1

Step-by-step explanation:

7 0
3 years ago
Real numbers x and y satisfy x + xy^2 = 250y, x - xy^2 = -240y. Enter all possible values of x, separated by commas.
agasfer [191]

Answer:

-35,35,0

Step-by-step explanation:

Let's organise our information :

  • x+xy²=250y
  • x-xy²= -240y

Now let's add them together :

  • x+xy²+x-xy²=250y-240y
  • 2x=10y
  • x=5y ⇒ y= x/5

Let's replace y by x/5 in the first equation :

  • x+x*(x/5)²=250*(x/5)
  • x+ (x∧3)/25 = 50x
  • 49x-(x∧3)/25=0
  • x(49-(x²/25))=0
  • x=0 or 49-(x²/25)=0
  • x=0 or 49= x²/25
  • x=0 or x²=1225
  • x=0 or  x= \sqrt{1225} or x= -\sqrt{1225\\}
  • x=0 or x=35 or x= -35

so x=[0,35,(-35)]

4 0
3 years ago
Read 2 more answers
Which of the following statements is a true conclusion that can be made from the scaled bargraph?
makvit [3.9K]

Answer:

The answer would be D.

This is because reptile has the lesser value. thus being the least common factor~


8 0
3 years ago
Independent random samples taken on two university campuses revealed the following information concerning the average amount of
love history [14]

Answer:

p_v =P(t_{88}>6.960) =2.91x10^{-10}

So with the p value obtained and using the significance level given \alpha=0.05 we have p_v so we can conclude that we have enough evidence to reject the null hypothesis, and we can said that at 5% of significance the mean of the group A is significantly lower than the mean for the group B.  

Step-by-step explanation:

The statistic to test the hypothesis is given by this formula:

t=\frac{(\bar X_A-\bar X_B)-(\mu_{A}-\mu_B)}{\sqrt{\frac{s_A^2}{n_A}}+\frac{s_B^2}{n_B}}

Where t follows a t distribution with n_1+n_2 -2 degrees of freedom

The system of hypothesis on this case are:

Null hypothesis: \mu_A \leq \mu_B

Alternative hypothesis: \mu_A >\mu_B

Or equivalently:

Null hypothesis: \mu_A - \mu_B \leq 0

Alternative hypothesis: \mu_A -\mu_B>0

Our notation on this case :

n_A =50 represent the sample size for group A

n_B =40 represent the sample size for group B

\bar X_A =280 represent the sample mean for the group A

\bar X_B =250 represent the sample mean for the group B

s_A=20 represent the sample standard deviation for group A

s_B=23 represent the sample standard deviation for group B

And now we can calculate the statistic:

t=\frac{(280 -250)-(0)}{\sqrt{\frac{20^2}{50}}+\frac{23^2}{40}}=6.511

Now we can calculate the degrees of freedom given by:

df=50+40-2=88

And now we can calculate the p value using the alternative hypothesis:

p_v =P(t_{88}>6.960) =2.91x10^{-10}

So with the p value obtained and using the significance level given \alpha=0.05 we have p_v so we can conclude that we have enough evidence to reject the null hypothesis, and we can said that at 5% of significance the mean of the group A is significantly lower than the mean for the group B.  

8 0
4 years ago
Read 2 more answers
Please help me. i am so confused please
sveticcg [70]

Answer:

what is the question above what you are showing in the picture ?

Step-by-step explanation:

it will help a lot

5 0
4 years ago
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