"there was ne streng evidence" that the prepertion of women whe became pregnant while taking HGH along with IVE was greater than the success rate for VF alene. (a) Is this consistent with testing Mo: HGH in addrion to tvr increases the chance of petting pregnant versus M HGH in addbon to VF does not increase the chance of getting pregnant or with testing Mgi HGH in addnion te IVF does not inerease the chance of getting pregnant versus H, HGH in addtion to tv inereases the chance of getting pregnant? O Mgi HGH in addition to tVF increases the chance of getting pregnant versus M, HGH in adetien to IVF does net inerease the chance of getting pregnant O Mg: HGH in addition to IVF does net increase the chance of getting pregnant versus Ni HGH in adotien to IVF increases the chance of getting pregnant Explain. O The null hypothesis is considered a statement of no dfference, or equality. In this case, HGH in addtion to V does increase the chance of getting pregnant. O The rull hypethesis is considered a statement of no efference, or equality. In this case, HGH in addition to VF doesn't increase the chance of getting pregnant. O The null hypothesis is considered a statement of difference, or nen-equality. In this case, HGH in addtion to V doesn't increase the chance of getting pregnant. O The null hypethesis is considered a statement of dfference, or nen-equality. In this case, HGH in addtion te VE doesn't decrease the chance of getting pregnant. O The null hypothesis is considered a statement of aifference, or nen-equality. In this case., HGH in addtion to V does increase the chance of getting pregnant. (b) Does the stated conclusion of "ne strong evidence" indicate that the null hypethesis was rejected? Explain. O Yes. The statement of "ne strong evidence" is referring to no strong evidence in suppert of the null hypothesis. Therefore, the null hypothesis was rejected. O ves. The statement of "no strong evidence is referring to no strong evidence in support of the alternative hypothesis. Therefore, the nul hypothesis was rejected. O No. The statement of "ne strong evidence" is referring to no strong evidence in suppert of the null hypothesis. Therefore, the alternative hypothesis is accepted. O No. The statement of "no strong evidence" is referring to no strong evidence in support of the null hypothesis. Therefore, the null hypothesis was not rejected. O No. The statement of "no strong evidence" is referring to no strong evidence in suppert of the alternative hypothesis. Therefore, the null hypothesis was net rejected.

MATLAB: An Introduction with Applications
6th Edition
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Author:Amos Gilat
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Chapter1: Starting With Matlab
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According to an article in Science Daily,1 women who are having dficulty becoming pregnant sometimes use human growth hormone (HGH) in addition to in-vitro fertilization (IVF) to try to n
"there was no strong evidence" that the proportion of women who became pregnant while taking HGH along with IVF was greater than the success rate for IVF alene.
(a) is this consistent with testing
Ho: HGH in addition to IVF increases the chance of petting pregnant
versus
H HGH in addition to VF does not increase the chance of getting pregnant
or with testing
Hg: HGH in addnion te IV does not increase the chance of getting pregnant
versus
H, HGH in addition to tvr increases the chance of getting pregnant?
O Hg: HGH in addition to IVF increases the chance of getting pregnant versus
M, HGH in addtion to IVF does net increase the chance of getting pregnant
O Mg: HGH in addition to IVF does not increase the chance of getting pregnant versus
H, HGH in additien to IVF increases the chance of getting pregnant
Explain.
O The null hypothesis is considered a statement of no dfference, or equality. In this case, HGH in addition to Vf does increase the chance of getting pregnant.
O The null hypothesis is considered a statement of no ofference, or equality. In this case, HGH in addition to IVF doesn't increase the chance of getting pregnant.
O The null hypothesis is considered a statement of difference, or non-equality. In this case,. HGH in addtion to V doesn't increase the chance of getting pregnant.
O The null hypothesis is considered a statement of aifference, or nen-equality. In this case, HGH in addition to IVF doesn't decrease the chance of getting pre
O The null hypothesis is considered a statement of difference, or non-equality. In this case, HGH in addition to VF does increase the chance of getting pregnant.
ant.
(D) Does the stated conclusion of "no strong evidence" indicate that the null hypethesis was rejected? Explain.
O Yes. The statement of "ne strong evidence" is referring to no strong evidence in support of the null hypethesis. Therefore, the nul hypothesis was rejected.
O Yes. The statement of "no strong evidence" is referring to no strong evidence in support of the alternative hypothesis. Therefore. the nuil hypothesis was rejected.
O No. The statement of "no strong evidence" is referring to no strong evidence in support of the null hypothesis. Therefore, the altenative hypothesis is accepted.
O No. The statement of "no strong evidence" is referring to no strong evidence in support of the null hypothesis. Therefore, the nul hypothesis was not rejected.
O No. The statement of "no strong evidence" is referring to no strong evidence in support of the alternative hypothesis. Therefore, the null hypothesis was net rejected.
Transcribed Image Text:According to an article in Science Daily,1 women who are having dficulty becoming pregnant sometimes use human growth hormone (HGH) in addition to in-vitro fertilization (IVF) to try to n "there was no strong evidence" that the proportion of women who became pregnant while taking HGH along with IVF was greater than the success rate for IVF alene. (a) is this consistent with testing Ho: HGH in addition to IVF increases the chance of petting pregnant versus H HGH in addition to VF does not increase the chance of getting pregnant or with testing Hg: HGH in addnion te IV does not increase the chance of getting pregnant versus H, HGH in addition to tvr increases the chance of getting pregnant? O Hg: HGH in addition to IVF increases the chance of getting pregnant versus M, HGH in addtion to IVF does net increase the chance of getting pregnant O Mg: HGH in addition to IVF does not increase the chance of getting pregnant versus H, HGH in additien to IVF increases the chance of getting pregnant Explain. O The null hypothesis is considered a statement of no dfference, or equality. In this case, HGH in addition to Vf does increase the chance of getting pregnant. O The null hypothesis is considered a statement of no ofference, or equality. In this case, HGH in addition to IVF doesn't increase the chance of getting pregnant. O The null hypothesis is considered a statement of difference, or non-equality. In this case,. HGH in addtion to V doesn't increase the chance of getting pregnant. O The null hypothesis is considered a statement of aifference, or nen-equality. In this case, HGH in addition to IVF doesn't decrease the chance of getting pre O The null hypothesis is considered a statement of difference, or non-equality. In this case, HGH in addition to VF does increase the chance of getting pregnant. ant. (D) Does the stated conclusion of "no strong evidence" indicate that the null hypethesis was rejected? Explain. O Yes. The statement of "ne strong evidence" is referring to no strong evidence in support of the null hypethesis. Therefore, the nul hypothesis was rejected. O Yes. The statement of "no strong evidence" is referring to no strong evidence in support of the alternative hypothesis. Therefore. the nuil hypothesis was rejected. O No. The statement of "no strong evidence" is referring to no strong evidence in support of the null hypothesis. Therefore, the altenative hypothesis is accepted. O No. The statement of "no strong evidence" is referring to no strong evidence in support of the null hypothesis. Therefore, the nul hypothesis was not rejected. O No. The statement of "no strong evidence" is referring to no strong evidence in support of the alternative hypothesis. Therefore, the null hypothesis was net rejected.
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