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Evgesh-ka [11]
3 years ago
8

Help me please!!!!!!!!!!!!!!!!!!!!!!!! Will give 5 star and brainliest

Mathematics
1 answer:
Agata [3.3K]3 years ago
7 0

Answer:

B. $3927.54

Step-by-step explanation:

just took the test

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Today, a round-trip plane ticket from Los Angeles to New York costs $350. If the average annual inflation rate is 2.5%, how much
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Answer = 875

350 x 2.5 = 875
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3 years ago
In order to earn extra money during the summer, Trevor is working as a house painter. The
11111nata11111 [884]

The correct answer to this question is that m is the dependent variable and h is the independent variable.

The amount of money Trevor earns can be formulated in the form of linear equation. A Linear equation is the one which can be expressed in the form of y = ax + b where y is dependent, and x is independent variable whereas a, b are coefficients. According to question amount of money Trevor earns will depend on the number of houses he paints. If m is the amount of money Trevor earns and h is the number of houses Trevor paints. This can be formulated as

m = hx + b and in this expression, m is dependent variable and h is independent variable as his earning will depend on the number of houses he paints.

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5 0
1 year ago
Write the equation of the line that passes through the points (1,6) and (3, -4)
gavmur [86]

Answer:

A. y = -5x + 11

Step-by-step explanation:

The general form of the equation of a line is given as

y - y1 = m (x - x1)

where m is the slope and x1, y1 are the coordinates of a point on the line.

m = (y2 - y1)/(x2 - x1)

Given the points (1,6) and (3, -4)

m = (-4-6)/(3-1)

=-10/2

= -5

The equation of the line will be

y - 6 = -5(x -1)

y - 6 = -5x + 5

Add 6 to both side

y = -5x + 5 + 6

y = -5x + 11

Option A

6 0
3 years ago
1 1/4 + 2 3<br>/4 I need this answer pls​
Pani-rosa [81]

11/4 + 23/4= 11+23/4=8.5

4 0
3 years ago
Rothamsted Experimental Station (England) has studied wheat production since 1852. Each year many small plots of equal size but
podryga [215]

Answer:

(a) 0.653

(b) 0.0198

(c) Yes, after testing we conclude that the population variance of annual wheat production for the first plot is larger than that for the second plot.

Step-by-step explanation:

(a) We are give the sample of one year annual production of wheat (in pounds) ;

4.46, 4.21, 4.40, 4.81, 2.81, 2.90, 4.93, 3.54, 4.16, 4.48, 3.26, 4.74, 4.97, 4.02, 4.91, 2.59

For calculating sample variance, firstly we will calculate mean of the above data;

Mean of above data, X_1bar = Sum of all values ÷ n (no. of values)

                                 = \frac{4.46 + 4.21+4.40+.......+4.91+2.59}{16} = 4.074

Sample Variance, s_1^{2} = \frac{\sum (X-X_1bar)^{2} }{n-1} = \frac{(4.46-4.074)^{2}+(4.21-4.074)^{2}+.........+(4.91-4.074)^{2}+(2.59-4.074)^{2} }{16-1} = 0.653

(b) Another sample for annual wheat production (in pounds);

3.89, 3.81, 3.95, 4.07, 4.01, 3.73, 4.02, 3.78, 3.72, 3.96, 3.62, 3.76, 4.02, 3.73, 3.94, 4.03

Mean of above data, X_2bar = Sum of all values ÷ n (no. of values)

                                 = \frac{3.89+3.81+3.95.......+3.94+4.03}{16} = 3.88

Sample Variance, s_2^{2} = \frac{\sum (X-X_2bar)^{2} }{n-1} = \frac{(3.89-3.88)^{2}+(3.81-3.88)^{2}+.........+(3.94-3.88)^{2}+(4.03-3.88)^{2} }{16-1} = 0.0198

(c) Now, we have to test the claim that population variance of annual wheat production for the first plot is larger than that for the second plot i.e.;

       Null Hypothesis, H_0 : \sigma_1^{2} = \sigma_2^{2}   or H_0 : \frac{\sigma_1^{2} }{\sigma_2^{2} } = 1

Alternate Hypothesis, H_0 : \sigma_1^{2} > \sigma_2^{2}   or H_0 : \frac{\sigma_1^{2} }{\sigma_2^{2} } >  1

The test statistics used here is;

                           \frac{s_1^{2} }{s_2^{2} }* \frac{\sigma_1^{2} }{\sigma_2^{2}}  ~ F_n__1-1_,n_2-1   where, n_1 = 16 and n_2 =16

   Test Statistics = \frac{0.653 }{ 0.0198}* 1 ~ F_1_5_,_1_5

                          = 32.98

Since, we are not provided with any significance level so we assume it to be 5% and at this level, the F table gives critical value of 2.4282.

<em>Since our test statistics is higher than the critical value and it falls in the rejection region so we have sufficient evidence to reject null hypothesis and conclude that the population variance of annual wheat production for the first plot is larger than that for the second plot.</em>

8 0
3 years ago
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