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laiz [17]
2 years ago
11

The majority of Americans spend most of their income on:

Mathematics
2 answers:
larisa86 [58]2 years ago
8 0
It would be housing. Hope it helps!
Elis [28]2 years ago
3 0
Out of the choices you have, answer choice “A” (food).
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Which equation represents a line that has a slope of 3/4 and passes through the point (2;1)?
omeli [17]

Answer:

B

Step-by-step explanation:

m = 3/4

x1 = 2

y1 = 1

Using the formula,

y - y1 = m(x - x1)

y - 1 = 3/4(x - 2)

y - 1 = 3x/4 - 3/2

y = 3x/4 -3/2 + 1

y = 3x/4 - 1/2 (×4)

4y = 3x - 2

Therefore, the answer is B

8 0
3 years ago
In the 2005 regular season, the Chicago White Sox won 28 more games than the Detroit Tigers. Together, they won a total of 170 g
melomori [17]
White Sox: 113
Tigers: 57 games
4 0
3 years ago
In your own words, explain the Normal Distribution and provide a real world example.
elena-14-01-66 [18.8K]

Answer:

The Normal distribution is a continuous probability distribution with possible values all the reals. Some properties of this distribution are:

Is symmetrical and bell shaped no matter the parameters used. Usually if X is a random variable normally distributed we write this like that:

X \sim N(\mu , \sigma)

The two parameters are:

\mu who represent the mean and is on the center of the distribution

\sigma who represent the standard deviation  

One particular case is the normal standard distribution denoted by:

Z \sim N(0,1)

Example: Usually this distribution is used to model almost all the practical things in the life one of the examples is when we can model the scores of a test. Usually the distribution for this variable is normally distributed and we can find quantiles and probabilities associated

Step-by-step explanation:

The Normal distribution is a continuous probability distribution with possible values all the reals. Some properties of this distribution are:

Is symmetrical and bell shaped no matter the parameters used. Usually if X is a random variable normally distributed we write this like that:

X \sim N(\mu , \sigma)

The two parameters are:

\mu who represent the mean and is on the center of the distribution

\sigma who represent the standard deviation  

One particular case is the normal standard distribution denoted by:

Z \sim N(0,1)

Example: Usually this distribution is used to model almost all the practical things in the life one of the examples is when we can model the scores of a test. Usually the distribution for this variable is normally distributed and we can find quantiles and probabilities associated

4 0
4 years ago
Use the diagram below: H is the circumcenter of triangle BCD, BC = 18 and HD = 14. Find EH.
just olya [345]

Answer:

  • 10.72

Step-by-step explanation:

<h3>Given</h3>
  • H is the circumcenter of triangle BCD,
  • BC = 18
  • HD = 14
<h3>To find </h3>
  • Length of EH
<h3>Solution</h3>
  • Triangle BHD is isosceles, therefore BH = HD
  • Point E is midpoint of BC, therefore BE = 1/2BC

<u>Using Pythagorean, finding the value of EH:</u>

  • EH = √(BH² - BE²) = √(14² - (18/2)²) = √(196 - 81) = √115 = 10.72
7 0
3 years ago
Read 2 more answers
A randomized study compared two different techniques for improving one's memory. The treatment group using Technique A reported
ankoles [38]

Answer:

The best conclusion that can be made based on the data on the dot plot is:

The mean difference is not significant because the re-randomization show that it is within the range of what could happen by chance.

Step-by-step explanation:

Randomization is the standard used to compare the observational study and balance the factors between the treatment groups and eliminate the variables' influence. Some studies analyze that the treatment in the randomization calculates the appropriate number of the subjects as the treatment to memorize is 8.9, and the treatment for the B is 12.1 words.

The mean difference is not significant because the re-randomization shows that it is within the range of what could happen by chance.

The treatment group using technique A reported a mean of 8.9 words.

The treatment group using technique B reported a mean of 12.1 words.

After the data are re-randomized, the differences of means are shown in the dot plot.

The result is significant because the re-randomization show that it is outside the range. The best conclusion that can be made based on the data on the dot plot is:

The mean difference is not significant because the re-randomization show that it is within the range of what could happen by chance.

7 1
3 years ago
Read 2 more answers
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