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
antiseptic1488 [7]
3 years ago
14

Help meeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeee

Mathematics
1 answer:
Maksim231197 [3]3 years ago
5 0

Answer:

1. No

2. No

3. No

4. Yes

Step-by-step explanation:

Insert each y value into the equation. If it equals -14, then it is a solution to the equation. The only one of these y values that is a solution is the last one, -2.

8 * (-2) = -16

-16 + 2 = -14

So y = -2 is a solution.

You might be interested in
PLEASE HELP QUICK WILL MARK BRAINLIEST!!!!!!!!!
Helga [31]

Answer:s>_18

Step-by-step explanation:

8 0
3 years ago
Read 2 more answers
A chemist claims that he has found a chemical formula that will kill a certain bacteria. He claims it will kill half the bacteri
Alex73 [517]

Answer:

4 Minutes = 240 seconds = 6*40 seconds

30*(1/2)^6 = 30*1/64 = 30/64 = 15/32 = 0.5

4 minutes later there is approx. 0 to 1 bacteria alive.

7 0
3 years ago
The Insurance Institute reports that the mean amount of life insurance per household in the US is $110,000. This follows a norma
nata0808 [166]

Answer:

a) \sigma_{\bar X} = \frac{\sigma}{\sqrt{n}}= \frac{40000}{\sqrt{50}}= 5656.85

b) Since the distribution for X is normal then we know that the distribution for the sample mean \bar X is given by:

\bar X \sim N(\mu, \frac{\sigma}{\sqrt{n}})

c) P( \bar X >112000) = P(Z>\frac{112000-110000}{\frac{40000}{\sqrt{50}}}) = P(Z>0.354)

And we can use the complement rule and we got:

P(Z>0.354) = 1-P(Z

d) P( \bar X >100000) = P(Z>\frac{100000-110000}{\frac{40000}{\sqrt{50}}}) = P(Z>-1.768)

And we can use the complement rule and we got:

P(Z>-1.768) = 1-P(Z

e) P(100000< \bar X

And we can use the complement rule and we got:

P(-1.768

Step-by-step explanation:

a. If we select a random sample of 50 households, what is the standard error of the mean?

Previous concepts

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".

The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".  

Let X the random variable that represent the amount of life insurance of a population, and for this case we know the distribution for X is given by:

X \sim N(110000,40000)  

Where \mu=110000 and \sigma=40000

If we select a sample size of n =35 the standard error is given by:

\sigma_{\bar X} = \frac{\sigma}{\sqrt{n}}= \frac{40000}{\sqrt{50}}= 5656.85

b. What is the expected shape of the distribution of the sample mean?

Since the distribution for X is normal then we know that the distribution for the sample mean \bar X is given by:

\bar X \sim N(\mu, \frac{\sigma}{\sqrt{n}})

c. What is the likelihood of selecting a sample with a mean of at least $112,000?

For this case we want this probability:

P(X > 112000)

And we can use the z score given by:

z= \frac{\bar X  -\mu}{\frac{\sigma}{\sqrt{n}}}

And replacing we got:

P( \bar X >112000) = P(Z>\frac{112000-110000}{\frac{40000}{\sqrt{50}}}) = P(Z>0.354)

And we can use the complement rule and we got:

P(Z>0.354) = 1-P(Z

d. What is the likelihood of selecting a sample with a mean of more than $100,000?

For this case we want this probability:

P(X > 100000)

And we can use the z score given by:

z= \frac{\bar X  -\mu}{\frac{\sigma}{\sqrt{n}}}

And replacing we got:

P( \bar X >100000) = P(Z>\frac{100000-110000}{\frac{40000}{\sqrt{50}}}) = P(Z>-1.768)

And we can use the complement rule and we got:

P(Z>-1.768) = 1-P(Z

e. Find the likelihood of selecting a sample with a mean of more than $100,000 but less than $112,000

For this case we want this probability:

P(100000

And we can use the z score given by:

z= \frac{\bar X  -\mu}{\frac{\sigma}{\sqrt{n}}}

And replacing we got:

P(100000< \bar X

And we can use the complement rule and we got:

P(-1.768

8 0
3 years ago
Given that A = (4,3,-4), B = (2,8,-5) and C = (-5,5,-8), find the vector from A to the midpoint of BC.
viktelen [127]
Mid-point of BC, M=(2+(-5),8+5,-5+(-8))/2=(-1.5, 6.5, -6.5)
Vector from A to M = M-A=<(-1.5,6.5,-6.5)-(4,3,-4)>=<-11/2,7/2,-5/2>


6 0
3 years ago
1- Mr. Shull wants to burn 500 calories in one workout. HE figures out that he can surf or lift weights. For every hour of surfi
nevsk [136]

Answer:

a. Let x = hours surfing and let y = hours lifting weights

b. x + y = 6

c. 100x + 75y = 500

6 0
3 years ago
Other questions:
  • Giving Brainliest!! 2. Suppose that a frequency histogram and a cumulative frequency histogram are constructed from the same set
    13·2 answers
  • If sales tax is 7%, what would the tax on. $7.99 meal be? What would the meal cost after tax?
    5·2 answers
  • Two number cubes are rolled. Find the PROBABILITY of rolling a
    9·1 answer
  • Sue Anne owns a medium-sized business. The probability model below describes the number of employees that may call in sick on an
    14·1 answer
  • - kobby is 5 years younger than Nana
    6·2 answers
  • Angela is following this recipe to make biscuits.
    7·1 answer
  • What is the volume of a rectangular prism 11 inches long, 6 inches wide and 3 inches high
    10·1 answer
  • Which equation represents y=13x-12
    8·2 answers
  • Please answer it is urgent thank you!
    6·1 answer
  • The following figure shows the entire graph of a relationship.
    14·1 answer
Add answer
Login
Not registered? Fast signup
Signup
Login Signup
Ask question!