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stepan [7]
4 years ago
13

Can y’all do 1-2 I’ll give brainliest !!!

Mathematics
1 answer:
Svet_ta [14]4 years ago
8 0

One to one or injective means that each x in the domain maps to a unique y, i.e. the function preserves distinction.

y=(x-1)/(3x+3) is one to one.  We can solve for x:

3xy + 3y = x - 1

3y + 1 = x - 3xy = x(1-3y)

x = (3y+1)/(1-3y)

That proves it's one-to-one; for each y we get one x.

y=\sqrt{5x+9}

That's also one to one,

y^2 = 5x+9

x = \frac 1 5 (y^2 - 9)

That's the proof.

f(x)=\dfrac{7}{4x^2}

That's Not one-to-one

because f(-x)=f(x).  We only need a single counterexample; f(1)=7/4, f(-1)=7/4

f(x) = \frac 1 2 x^3

That's one-to-one, textbook case

f(x)=3x^4 + 7x^3

That's not one-to-one because the fourth power dominates so this will be sort of parabola-ish, repeating the same big positive values for a negative and positive x.

--------------

y = f(x) = \sqrt[3]{x-2} + 8

y - 8 = \sqrt[3]{x-2}

(y-8)^3 = x-2

x = (y - 8)^3 + 2

f^{-1}(x) =(x - 8)^3 + 2

First choice


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When I sit and watch my students take exams, I often think to myself "I wonder if students with bright calculators are impacted
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Answer:

There is a difference between the two means.

Step-by-step explanation:

The hypothesis can be defined as:

<em>H₀</em>: The mean exam scores of my SAT 215 students with colorful calculators are same as the mean scores of my STA 215 students with plain black calculators, i.e. <em>μ</em>₁ - <em>μ</em>₂ = 0.

<em>Hₐ</em>: The mean exam scores of my SAT 215 students with colorful calculators are different than the mean scores of my STA 215 students with plain black calculators, i.e. <em>μ</em>₁ - <em>μ</em>₂ ≠ 0.

Assume that the significance level of the test is, <em>α</em> = 0.05. Also assuming that the population variances are equal.

The decision rule:

A 95% confidence interval for mean difference can be used to determine the result of the hypothesis test. If the 95% confidence interval contains the null hypothesis value, i.e. 0 then the null hypothesis will not be rejected.

The 95% confidence interval for mean difference is:

CI=\bar x_{1}-\bar x_{2}\pm t_{\alpha/2, (n_{1}+n_{2}-2)}\times S_{p}\times \sqrt{\frac{1}{n_{1}}+\frac{1}{n_{2}}}

Compute the pooled standard deviation as follows:

S_{p}=\sqrt{\frac{(n_{1}-1)s_{1}^{2}+(n_{2}-1)s_{2}^{2}} {n_{1}+n_{2}-2}}}=\sqrt{\frac{(49-1)(4.7)^{2}+(38-1)(5.7)^{2}}{49+38-2}}=5.16

The critical value of <em>t</em> is:

t_{\alpha/2, (n_{1}+n_{2}-2)}=t_{0.05/2, (49+38-2)}=t_{0.025, 85}=1.984

*Use a <em>t</em>-table.

Compute the 95% confidence interval for mean difference as follows:

CI=\bar x_{1}-\bar x_{2}\pm t_{\alpha/2, (n_{1}+n_{2}-2)}\times S_{p}\times \sqrt{\frac{1}{n_{1}}+\frac{1}{n_{2}}}

     =(84-87)\pm 1.984\times 5.16\times \sqrt{\frac{1}{49}+\frac{1}{38}}

     =-3\pm 2.133\\=(-5.133, -0.867)\\\approx(-5.13, -0.87)

The 95% confidence interval for mean difference is (-5.13, -0.87).

The confidence interval does not contains the value 0. This implies that the null hypothesis will be rejected at 5% level of significance.

Hence, concluding that the mean exam scores of my STA 215 students with colorful calculators are different than the mean scores of my STA 215 students with plain black calculators.

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