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Valentin [98]
3 years ago
13

What is the range of the linear parent function

Mathematics
2 answers:
lara31 [8.8K]3 years ago
8 0

Answer:

The range of the linear parent function is all real numbers. It can also defined as (-∞,∞).

Step-by-step explanation:

The linear parent function is in the form of

y=x

This function is defined for all values of x. It means the domain of linear parent function is the set of all real numbers.

Domain=(-\infty,\infty)

According to this function, the value of y is equal to the value of x. It means the function has same input and output values. It means the range of linear parent function is the set of all real numbers.

Range=(-\infty,\infty)

Therefore the range of the linear parent function is all real numbers. It can also defined as (-∞,∞).

kotegsom [21]3 years ago
5 0

Answer:

↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓

Step-by-step explanation:

The graph of the linear function f(x) = ax + b is a line with slope m = a and y-intercept at (0, b).

Characteristics of the Linear Function: Domain: the set of all real numbers.

Range: the set of all real numbers.

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stepladder [879]
1.25x + 2.5 \ \textless \  2.75x - 6.5 \\ \\ 2.5 \ \textless \  2.75x - 6.5 - 1.25x \ / \ subtract \ 1.25x \ both \ sides \\ \\ 2.5 \ \textless \  1.5x - 6.5 \ / \ simplify \\ \\ 2.5 + 6.5 \ \textless \  1.5x \ / \ add \ 6.5 \ both \ sides \\ \\ 9 \ \textless \  1.5x \ / \ simplify \\ \\ 6 \ \textless \  x \ / \ divide \ both \ sides \ 1.5 \\ \\ x \ \textgreater \  6 \ / \ change \ sides \\ \\ Answer: x \ \textgreater \  6 (A)
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3 years ago
Read 2 more answers
As you move up a linear demand​ curve, the price elasticity of demand in absolute value A. decreases. B. increases. C. stays the
Andreyy89

Answer:

The answers to the questions are;

B. increases.  

C. ​inelastic; increase.

Step-by-step explanation:

The price elasticity of demand for a linear demand in absolute value curve becomes smaller and smaller as we move downwards of the curve.

When the price elasticity of demand is calculated along a linear demand curve. This is so as for each pair of points at which the price elasticity of demand is calculated, the quantity demanded and the price change are somewhat  similar, but as we move towards the top of the demand curve, the high prices and the low quantities shows the increase in demand elasticity.

Also in the inelastic region, as it can be shown by the areas of the rectangles formed by to adjacent price points, increase in price, increases the total revenue.

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3 years ago
Use the given information to find the p-value. also use a0.05 significance level and state the conclusion about the null hypothe
omeli [17]

Answer:

(a) C: 0.0465 ; reject the null hypothesis

(b) B: 0.3409 ; fail to reject the null hypothesis

Step-by-step explanation:

Firstly, the decision rule based on P-value to reject the null hypothesis or fail to reject the null hypothesis is given by;

  • If the P-value of test statistics is less than the level of significance, then we have sufficient evidence to reject our null hypothesis.
  • If the P-value of test statistics is more than the level of significance, then we have insufficient evidence to reject our null hypothesis due to which we fail to reject our null hypothesis.

(a) Now, we are given alternate hypothesis, H_1 : p < 3/5

Also, z test statistics is -1.68. Since this is a left tailed test, so P-value is given by;

             P-value = P(Z < -1.68) = 1 - P(Z \leq 1.68)

                           = 1 - 0.95352 = <u>0.0465</u>

Since, the P-value of test statistics is less than the level of significance as 0.0465 < 0.05, so we have sufficient evidence to reject our null hypothesis due to which <u>we reject the null hypothesis.</u>

(b) Now, we are given alternate hypothesis, H_1 : p > 0.383

Also, z test statistics is 0.41. Since this is a right tailed test, so P-value is given by;

             P-value = P(Z > 0.41) = 1 - P(Z \leq 0.41)

                           = 1 - 0.6591 = <u>0.3409</u>

Since, the P-value of test statistics is more than the level of significance as 0.3409 > 0.05, so we have insufficient evidence to reject our null hypothesis due to which <u>we fail to reject the null hypothesis.</u>

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