Find x and y. Give reasons to justify your solution. AB, CD, EF, and GH are straight lines.

Answer:

Step-by-step explanation:

The air plane is rising so the change in elevation is +1000 feet. The temp dropped and is -20 degrees ferhenhite.

Answer:

6.88 is what I think you're looking for

Step-by-step explanation:

Answer:

Hello!!! Princess Sakura here ^^

Step-by-step explanation:

The decimal would be .70 because there's 70 squares that are shaded.

9514 1404 393

Answer:

  G

Step-by-step explanation:

The one point with a y-value of 0 is the one on the x-axis: G.

The answers are shown below:

The square root of a number is that factor of a number which when multiplied by itself gives the original number. Squares and square roots are special exponents.

Consider the number 9. When 3 is multiplied by itself, it gives 9 as the product. This can be written as 3 × 3 or 32. Here, the exponent is 2, and we call it a square. Now when the exponent is 1/2, it refers to the square root of the number. For example, √n = n^1/2, where n is a positive integer.

b) point D represent √27 ( 5.19)

c) point A represent √11 ( 3.316)

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Answer:

5+3 =8

Step-by-step explanation:

absolute value

Answer:

the answer is 6cm like its really obvious

Answer:

a

[tex]\= x  =  82 [/tex]

b

[tex]s =  9.64 [/tex]

Step-by-step explanation:

From the question we are told that

    The data is  87  91  86  82  72  91   60  77  80  79  83  96

Generally the point estimate for the mean is mathematically represented as

    [tex]\= x  =  \frac{\sum  x_i }{n}[/tex]

=>  [tex]\= x  =  \frac{87 +91 + 86 + \cdots  + 96}{12}[/tex]

=>    [tex]\= x  =  82 [/tex]

Generally the point estimate for the standard deviation  is mathematically represented as

      [tex]s =  \sqrt{\frac{ \sum ( x_i  - \= x )^2 }{ n -1 } }[/tex]

=>     [tex]s =  \sqrt{\frac{ ( 87 - 82  )^2 +( 91 - 82  )^2 + \cdots + ( 96 - 82  )^2  }{ 12 -1 } }[/tex]

=>     [tex]s =  9.64 [/tex]

Part(a): The required mean is 82

Part(b): The required standard deviation is 9.639

Mean:

The mean is one of the measures of central tendency.

Part(a):

The formula for finding the mean is,

[tex]\bar{x}=\frac{\sum x_i}{n}[/tex]

Now, calculating the mean for the [tex]n=12[/tex] observation

[tex]\bar{x}=\frac{87+91+86+82+72+91+60+77+80+79+83+96}{12}\\ \bar{x}=82[/tex]

Part(b):

The formula for the standard deviation is,

[tex]S=\sqrt{\frac{\sum (x_i-\bar{x})^2}{n-1} }[/tex]

Substituting the given values into the above formula we get,

[tex]S=\sqrt{\frac{((87-82)^2+(91-82)^2)+(86-82)^2+(82-82)^2+(72-82)^2+(91-82)^2+(60-82)^2+(77-82)^2+...+(96-82)^2}{12-1} } \\S=9.639[/tex]

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Answer:

He has had a quarter of the red one

Step-by-step explanation:

3/12 is 1/4 when simplified

Answer:  9.16515139

Answer 2:  2√21

Answer:

336

Step-by-step explanation:

It is given that,

Total number of individuals are 8

They are candidates for positions of president, vice president, and treasurer of an organization.

It is a based on permutations. We need to find P(8,3). It can be calculated as follows :

[tex]P(n,r)=\dfrac{n!}{(n-r)!}[/tex]

So,

[tex]P(8,3)=\dfrac{8!}{(8-3)!}\\\\=\dfrac{8!}{5!}\\\\=\dfrac{8\times 7\times 6\times 5!}{5!}\ [\because n!=n(n-1)!]\\\\=8\times 7\times 6\\\\=336[/tex]

Hence, there are 336 possibilities of selections.

Answer:

-4x+2

Step-by-step explanation:

Answer:

30 is saved

Step-by-step explanation:

20 x 3 = 60 - 50 = 10, you get 10 three times because of 9 / 3 = 3 you get 10 x 3 = 30

Answer:

Step-by-step explanation:

in decimal it is 20.00, in fraction it is 1/5.

Answer:

55 + 45 = 90

90 divided by  45 = 2

90 divided by 9 = 10

Step-by-step explanation:

Answer:

a. [tex]C(25) = 146.25[/tex]

b. [tex]C(100) = 165[/tex]

c. [tex]x = 187[/tex]

d. Increment in number of uniform causes an increment in price

Step-by-step explanation:

Given

[tex]C(x) = 140 + 0.25x[/tex]

Solving (a)

[tex]x = 25[/tex]

This gives:

[tex]C(x) = 140 + 0.25x[/tex]

[tex]C(25) = 140 + 0.25 * 25[/tex]

[tex]C(25) = 140 + 6.25[/tex]

[tex]C(25) = 146.25[/tex]

Solving (b):

[tex]x = 100[/tex]

This gives:

[tex]C(x) = 140 + 0.25x[/tex]

[tex]C(100) = 140 + 0.25 * 100[/tex]

[tex]C(100) = 140 + 25[/tex]

[tex]C(100) = 165[/tex]

Solving (c):

Average cost = $1 per logo

For x logos,

Average cost = $1 * x

Average cost = $x

So, we have:

[tex]C(x) = 140 + 0.25x[/tex]

[tex]x = 140 + 0.25x[/tex]

Collect Like Terms

[tex]x - 0.25x = 140[/tex]

[tex]0.75x = 140[/tex]

Solve for x

[tex]x = 140/0.75[/tex]

[tex]x = 187[/tex] ---- Approximated

Solving (d): What happens when number uniform increases.

Notice that in (a) & (b).

x increases from 25 to 100

Price also increases from $146.25 to $165.

Hence:

Increment in number of uniform causes an increment in price

Answer:

x=(y+2b)/3m

Step-by-step explanation:

y+2b=3mx

(y+2b)/3m=x

Answer:

a=11

Step-by-step explanation:

Answer:

a = 11

Step-by-step explanation:

Answer:

no

Step-by-step explanation:

Right triangles follow the Pythagorean theorem:

[tex]a^2+b^2=c^2\\c=\sqrt{a^2+b^2}\\18=\sqrt{10^2+15^2} \\18=\sqrt{325} \\18 != 18.0277\\[/tex]

Because this statement isn't true, the side lengths are not for a right triangle.

Answer:

20

Step-by-step explanation:

80% needs 20% more to be 100%  so we devide 16 by 4 to get the awnser for 20% witch is 4 so 16+4 is equal to 80% + 20% so 20

Answer:

20

Step-by-step explanation: 16 you need to 2  more question to get 100 so if you use your brain and imagine doing a test and you get an 80 percent and answered 16 correct go back to the test to see what you have

Answer:

The data given is  

    235,000 271,900 183,300 203,000 182,900 225,500 189,000 214,200 237,900 233,500 217,000 230,400 202,950, 216,500 209,900, 245,500

  The sample size is  n =  16

   The population is  [tex]\mu  =  \$201,800[/tex]

  The sample mean is mathematically represented as

             [tex]\= x =\frac{\sum x_i}{n}[/tex]

=>  [tex]\= x  =\frac{235,000 + 271,900 + \cdots + 245,500 }{16}[/tex]

=>    [tex]\= x  = 218653.125[/tex]

Generally the sample standard deviation is mathematically represented as

     [tex]s =  \sqrt{\frac{\sum (x_i - \= x)^2}{n} }[/tex]

=>   [tex]s =  \sqrt{\frac{ (235,000 -  218653.125)^2+ (271,900 -  218653.125)^2 + \cdots +  (245,500 -  218653.125)^2}{16} }[/tex]

=>   [tex]s =  23946.896 [/tex]

The null hypothesis is  [tex]H_o : \mu =  \$201,800[/tex]

The alternatively hypothesis is  [tex]H_o : \mu >  \$201,800 [/tex]

Generally the test statistics is mathematically represented as

     [tex]t =  \frac{\= x  - \mu }{ \frac{s}{\sqrt{n} } }[/tex]

=>  [tex]t =  \frac{218653.125  - 201800 }{ \frac{23946.896 }{\sqrt{16} } }[/tex]

=>  [tex]t =  2.82[/tex]

Generally the degree of freedom is mathematically represented as

     [tex]df =  n - 1[/tex]

=>   [tex]df =  16 - 1[/tex]

=>   [tex]df =  15[/tex]

Generally the probability of  [tex]t =  2.82[/tex] at a degree of freedom of  [tex]df =  15[/tex] from the t - distribution table  is  

     [tex]p-value  = P( t >2.82 ) =0.00646356[/tex]

The

From the values obtained we see that [tex]p-value  < \alpha[/tex]

The decision rule is  

   Reject the null hypothesis

The conclusion is

 There is sufficient evidence to conclude that the real estate company's  projection is true

Given that the population variance is unknown then the best statistical distribution to be applied is the t -distribution

Type I  Error

 The type 1 error occur when the null hypothesis is wrongfully rejected

  The consequence in this case is the company will assume that the average selling price has increase and this will lead the company to start expanding the business while in the real sense the average selling price is still  $201,800

   Type II  Error

 The  type 11 error occur when the null hypothesis is wrongfully  accepted(i.e wrongfully failed to reject the null hypothesis)

    The consequence in this case is that the company will assume that the average selling price  is still $201,800 and will not make plans to increase the business while in the real sense the average selling price has increased

   Given that resource is scare the management of the company will want a  smaller  significance level in order not to commit type I error which will lead to wrongly expanding the business and wastes of resources

generally the critical value  of  [tex]\frac{\alpha }{2}[/tex] from the normal distribution table is    

     [tex]Z_{\frac{\alpha }{2} } = 1.96[/tex]

Generally the margin of error is mathematically represented as

   [tex]E  =Z_{\frac{\alpha }{2} } *  \frac{s}{\sqrt{n} }[/tex]

=>[tex]E  =1.96*  \frac{23946.896}{\sqrt{16} }[/tex]

=>[tex]E  = 11733.96[/tex]

Generally the 95% confidence interval is  mathematically represented as

     [tex]218653.125 - 11733.96  < \mu  <  218653.125 + 11733.96[/tex]

=>  [tex]206919.165  < \mu  <  230387.085[/tex]  

Generally there is 95% confidence that the actual average selling price is within this interval  

Step-by-step explanation:

Answer:

C. y = 2x − 5

Step-by-step explanation:

Given equation of line

2x − y = 3

rewriting the equation in slope intercept form as answer are given slope intercept form

y = 2x - 3

slope intercept form of equation is

y = mx + c

where m is the slope

c is y intercept

thus

slope for y = 2x - 3 when comparing with y = mx + c is 2

now we know slope of two parallel line is same

thus,

the slope of  line that is parallel to the line 2x − y = 3

is 2

Let the equation of required line be y = mx + c

where m = 2

thus

y = 2x + c is the new required equation

it passes through the point (2, −1)

using y = -1 and x = 2 in y = 2x + c

-1 = 2*2 + c

c = -1 - 4

c = -5

thus,

equation of required line is option c

y = 2x - 5 ----answer

Answer:

.5

Step-by-step explanation:

Answer:

Explained below.

Step-by-step explanation:

The data provided is for the number of times each family member verbally assaults another person throughout the first 24 hours.

Use Minitab to compute the descriptive statistics.

Go to Stat → Basic Statistics → Display Basic Statistics

A dialog box will open.

Select the variable.

Select 'Statistics'.  

Another dialog box will open.

Select the statistics required.

Press OK.

Select "Graphs'.

Select Histogram.

Press OK

The output is attached below.

(1)

The mean of the data is, Mean = 10.

(2)

The median of the data is, Median = 8.50.

(3)

The mode of the data is, Mode = 5.

(4)

The inequality statement for the mean, median and mode is:

Mean > Median > Mode

A distribution is known as to be skewed to the right, or positively skewed, when maximum of the data are collected on the left of the histogram of the distribution.

Also if the Mean > Median > Mode then the distribution is skewed to the right.

For a skewed distribution the best of central tendency is the median.

So, the measure of central tendency that is most appropriate for this dataset is, Median = 8.50.

(5)

The range of the data set is:

Range = Maximum - Minimum

           = 19 - 4

           = 15

Thus, the range is 15.

(6)

The population of interest is the number of times the family members verbally assaults another person throughout the first 24 hours.

(7)

Consider the Minitab output.

The standard deviation of the data set is, SD = 5.60.

Answer:

5:30

Step-by-step explanation:

you go ahead and add the 30 minutes so you then have 11:30 plus 6 hours is 5:30 because it only goes to 12:00 and repeats.

Answer:

As our computed test statistic falls in critical region, so we reject our null hypothesis. Also p-value=0.0009 is less than significance level, so we reject our null hypothesis and conclude that the average number of simulated drives differs by brand of golf ball at 5% significance level.

Step-by-step explanation:

Excel output print out

Anova: Single Factor      

SUMMARY      

Groups Count Sum Average Variance  

Alpha 5 1268 253.6 609.3  

Best 5 1532 306.4 740.3  

Century 5 1209 241.8 469.7  

Divot 5 1583 316.6 1235.3  

ANOVA      

Source of Variation SS df MS F P-value F crit

Between Groups 20960.4 3 6986.8 9.149217573 0.000925804 3.238871517

Within Groups 12218.4 16 763.65    

Total 33178.8 19    

The six steps of hypothesis are

1. Null hypothesis: The average number of simulated drives are same by brand of golf ball

Alternative hypothesis: The average number of simulated drives differs by brand of golf ball

2. Significance level: α=0.05

3. Test statistic: F-ratio for one way anova

4. Computations

F=9.149

5. Critical region: F>3.239

6. Conclusion:

As our computed test statistic falls in critical region, so we reject our null hypothesis. Also p-value=0.0009 is less than significance level, so we reject our null hypothesis and conclude that the average number of simulated drives differs by brand of golf ball at 5% significance level.

Answer:

-2( 7x+4)

Step-by-step explanation:

-14x - 8

Factor out -2

-2*7x -2*4

-2( 7x+4)

Answer:

Step-by-step explanation:

[tex] - 14x - 8[/tex]

Write -8 as -4×2

[tex] - 14x + 2 \times 4[/tex]

Factor out common term : 2

[tex]2( - 7x - 4)[/tex]