Compare linear and exponential growth

For Numbers 4646 - 5050: MULTIPLE-CHOICE\newlineINSTRUCTIONS: A if ONLY the FIRST statement is ALWAYS true, B if ONLY the SECOND statement is ALWAYS true, C \mathbf{C} if BOTH STATEMENTS are ALWAYS true and D if BOTH STATEMENTS are NOT always true.\newline4646. Functions expressed in the form of y=f(x) \mathrm{y}=\mathrm{f}(\mathrm{x}) can be solely differentiated explicitly. However, curves that fail both the vertical line test and the horizontal line test are not differentiable.\newline4747. In differentiating a function with respect to its independent variable, you take the derivative as it is (for example the derivative of y2 \mathrm{y}^{2} with respect to x \mathrm{x} is 2y 2 \mathrm{y} ) but you add it with the factor of the inner function's derivative (dy/dx), as encapsulated by the chain rule.\newlineThe dy/dx \mathrm{dy} / \mathrm{dx} is always a unique value, meaning the value of the slope never repeats for all (x,y) (x, y) that lie on a given curve.\newline4848. If f(x)=g(x) f(x)=g(x) , then f0(x)=g0(x) f_{0}(x)=g_{0}(x) . If f0(x)=g0(x) f_{0}(x)=g_{0}(x) , then f(x)=g(x) f(x)=g(x) .\newline4949. If a function is integrable over the interval y=f(x) \mathrm{y}=\mathrm{f}(\mathrm{x}) 11, then it is continuous.\newlineConversely, continuity implies integrability.\newline5050. Differentiability (over an interval) implies integrability.\newlineIf a function is integrable over an interval, then it is differentiable for all points between the endpoints of that interval.
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1ABC \sqrt{1} A B C adalah segitiga sama sisi dengan panjang sisi s s satuan dan persegi PQRS P Q R S panjang sisi 2m 2 m satuan.\newlinefininglah panjang segmen garis CD C D serta tentukan besar CAB \angle C A B dan DCA \angle D C A pada ABC \triangle A B C serta panjang PR P R un besar QPR \angle Q P R pada persegi PQRS P Q R S .\newlineCD=CAB=DCA= \begin{array}{l} C D=\ldots \\ \angle C A B=\ldots \\ \angle D C A=\ldots \end{array} \newlinePR=QPR=. \begin{array}{l} P R=\ldots \\ \angle Q P R=\ldots . \end{array} \newlineDari ukuran sisi-sisi segitiga dan besarnya sudut di atas diapat ditentukan nilai-nilai perbandingan trigonometri, sinus, cosinus dan tangen sudut s s 11 dan QPR \angle Q P R \newlines s 33\newlinecosCAB=cos.=±tanCAB=tan.=±cosDCA=cos.=tanDCA=tan=±cosQPR=cos.=±tanQPR=tan=± \begin{array}{ll} \cos \angle C A B=\cos \ldots .^{\circ}= \pm & \tan \angle C A B=\tan \ldots .^{\circ}= \pm \\ \cos \angle D C A=\cos \ldots .^{\circ}= & \tan \angle D C A=\tan \ldots{ }^{\circ}= \pm \\ \cos \angle Q P R=\cos \ldots .^{\circ}= \pm & \tan \angle Q P R=\tan \ldots{ }^{\circ}= \pm \end{array} \newlines s 44\newlinesinQPR=sin= \sin \angle Q P R=\sin \ldots{ }^{\circ}= \newlineKemudian juga carilah di berbaga. sumber untuk menentukan nilai sinus, cosinus dan tangen sudut s s 55 dan s s 66\newlineDari hasil-hasil tersebut lengkapi tabel berikut :\newline\begin{tabular}{|c|c|c|c|c|c|}\newline\hlines s 77 & s s 55 & s s 99 & PQRS P Q R S 00 & PQRS P Q R S 11 & s s 66 \\\newline\hline PQRS P Q R S 33 & & & & & \\\newline\hline PQRS P Q R S 44 & & & & & \\\newline\hline PQRS P Q R S 55 & & & & & \\\newline\hline\newline\end{tabular}
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The accompanying data set lists full IQ scores for a random sample of subjects with medium lead levels in their blood and another random sample of subjects with high lead levels in their blood. Use a 00.0101 significance level to test the claim that IQ scores of subjects with medium lead levels vary more than IQ scores of subjects with high lead levels.\newline\begin{tabular}{lrrrrrrrr} \newlineMedium & 8383 & 8686 & 9292 & 7272 & 7777 & 9191 & 8282 & 4646 \\\newline& 9898 & 9393 & 114114 & 7979 & 7171 & 9090 & 111111 & 7878 \\\newline& & & & & & & & \\\newlineHigh & 101101 & 8585 & 8585 & 8282 & 7979 & 7676 & 104104 & 8888 \\\newline& 104104 & 9494 & 8989 & 8080 & 7575 & 9393 & 7575 &\newline\end{tabular}\newlineLet sample 11 be the sample with the larger sample variance, and let sample 22 be the sample with the smaller sample variance. What are the null and alternative hypotheses?\newlineA. H0:σ12=σ22 H_{0}: \sigma_{1}^{2}=\sigma_{2}^{2} \newlineB.\newlineH0:σ12=σ22H1:σ12σ22 \begin{array}{l} H_{0}: \sigma_{1}^{2}=\sigma_{2}^{2} \\ H_{1}: \sigma_{1}^{2} \neq \sigma_{2}^{2} \end{array} \newlineH1:σ12<σ22 \mathrm{H}_{1}: \sigma_{1}^{2}<\sigma_{2}^{2} \newlineC. H0:σ12=σ22 \mathrm{H}_{0}: \sigma_{1}^{2}=\sigma_{2}^{2} \newlineH1:σ12>σ22 \mathrm{H}_{1}: \sigma_{1}^{2}>\sigma_{2}^{2} \newlineD.\newlineH0:σ12σ22H1:σ12=σ22 \begin{array}{l} H_{0}: \sigma_{1}^{2} \neq \sigma_{2}^{2} \\ H_{1}: \sigma_{1}^{2}=\sigma_{2}^{2} \end{array} \newlineIdentify the test statistic.\newlineThe test statistic is \square \newline(Round to two decimal places as needed.)
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