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
eduard
3 years ago
13

How do i solve for x

Mathematics
1 answer:
Dafna11 [192]3 years ago
5 0

The letter "x" is often used in algebra to mean a value that is not yet known. It is called a "variable" or sometimes an "unknown". In x + 2 = 7, x is a variable, but we can work out its value if we try! so im pretty sure its 20

You might be interested in
(6 + 3) = (4 - 5) =
cluponka [151]

Answer:

if you need to evaluate it its

Evaluate.

9=−1

however if you need to

Determine if True its False

hoped that help

7 0
3 years ago
When using a perpetual inventory system, a business will debit Merchandise Inventory and credit Cost of Goods Sold each time a s
Alla [95]
It sounds like it’s true i don’t know tho i’m so sorry if it’s wrong
6 0
3 years ago
Please help me please
Sergeu [11.5K]

Answer:

0.09,70%,5/8, 0.8

7 0
2 years ago
Read 2 more answers
3.24 x 10-4<br> 8.1 x 10-7
defon
28.4

Explanation

(Multiply the numbers) 3.24 x 10= 32.4
(Subtract the numbers) 32.4 - 4= 28.4
7 0
3 years ago
The General Social Survey asked the question: "For how many days during the past30 days was your mental health, which includes s
serg [7]

Answer:

a) For this case we can conclude that we are 95% confident that the true mean for the variable of interest is between 3.4 and 4.24 days in the US population.

b) The 95% confident means that if we select 100 different samples and calculate the 95% confidence interval for each sample selected, then we will have approximately 95 out of 100 confidence intervals will contain the true mean for the parameter of interest.

c) If we have the same info but we want more confidence that implies that the confidence interval would be wider, since the margin of error increase with more confidence.

d) Assuming that we have the same confidence level and the value for the deviation not changes. If we see if we decrease the sample size, then the margin of error would be lower since the original sample size was 1151. So then if we use 500 Americans we would have a lower value for the margin of error for this new interval. And then our confidence interval would smaller than the original.  

Step-by-step explanation:

Previous concepts

A confidence interval is "a range of values that’s likely to include a population value with a certain degree of confidence. It is often expressed a % whereby a population means lies between an upper and lower interval".  

The margin of error is the range of values below and above the sample statistic in a confidence interval.  

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 confidence interval for the mean is given by the following formula:

\bar X \pm t_{\alpha/2}\frac{s}{\sqrt{n}}  

For the 95% confidence interval the value of \alpha=1-0.95=0.05 and \alpha/2=0.025, with that value we can find the quantile required for the interval in the normal standard distribution.

z_{\alpha/2}=1.96

The confidence interval after apply the formulas was (3.40 ,4.24)

Part a

For this case we can conclude that we are 95% confident that the true mean for the variable of interest is between 3.4 and 4.24 days in the US population.

Part b

The 95% confident means that if we select 100 different samples and calculate the 95% confidence interval for each sample selected, then we will have approximately 95 out of 100 confidence intervals will contain the true mean for the parameter of interest.

Part c

If we have the same info but we want more confidence that implies that the confidence interval would be wider, since the margin of erroe increase with more confidence, because the critical value increase.

Part d

We need to take in count that the margin of error is given by:

ME=t_{\alpha/2}\frac{s}{\sqrt{n}}

Assuming that we have the same confidence level and the value for the deviation s not changes. If we see if we decrease the sample size, then the margin of error would be lower since the original sample size was 1151. So then if we use 500 Americans we would have a lower value for the margin of error for this new interval. And then our confidence interval would smaller than the original.  

4 0
3 years ago
Other questions:
  • Calculus help! Using the mean value theorem!
    5·1 answer
  • Please help me please
    8·2 answers
  • Find the circuference of 10mm<br><br> i need help
    10·2 answers
  • Write the definition of a function isPositive, that receives an integer parameter and returns true if the parameter is positive,
    5·1 answer
  • In a + b, if b is divisible by n, is a + b divisible by n?
    9·1 answer
  • Whats 100 dived by 19
    15·1 answer
  • Plot the points (-6,8) and (-6,-3) on the coordinate plane below.
    9·1 answer
  • HEYYYYYYYYYYY I NEED HELPPPPPP WILL GIVE BRAINLIST
    5·2 answers
  • Someone pwease help mwe
    12·1 answer
  • Please help thank you
    11·2 answers
Add answer
Login
Not registered? Fast signup
Signup
Login Signup
Ask question!