Question

1. Consider the following:

A pharmaceutical company has developed a new weight loss drug for women. Preliminary tests show that the drug seems to be fairly effective in about 75% of test subjects. The drug company thinks that the drug might be most effective in overweight women, but they are unsure to whom they should market the product.

1. Use the scientific method to address the pharmaceutical company’s needs:
   1. In Data Table 1, state a research question.
   2. Conduct online research on “Body Mass Index” categories. Record pertinent information in Data Table 1.
   3. Construct a testable hypothesis and record the hypothesis in Data Table 1.
   4. Design an experiment to test the hypothesis. Be as specific as possible in describing what will be observed or measured. Record your study design in Data Table 1.

Data Table 1 Below:

Weight loss study	1) Ask a question
	2) Research what is already known
	3) Create a hypothesis
	4) Test the hypothesis

Answer 1

Question :-

1. Conduct online research on “Body Mass Index” categories. Record pertinent information in Data Table 1.
2. Construct a testable hypothesis and record the hypothesis in Data Table 1.
3. Design an experiment to test the hypothesis. Be as specific as possible in describing what will be observed or measured. Record your study design in Data Table 1.

Answer

1) Ask a question	This study was attempted to decide if corpulence is related with obstetric confusions and cesarean delivery.
2)Research what is already known	Study of 500,000 individuals clears up the dangers of heftiness. Outline: While it is now realized that extreme weight expands the overall danger of death, past examinations have created clashing outcomes with some seeming to recommend a defensive impact at various parts of the range of weight list
3)Create a hypothesis	A large prospective multicenter database was studied. Subjects were divided into 3 groups: body mass index (BMI) less than 30 (control), 30 to 34.9 (obese), and 35 or greater (morbidly obese). Groups were compared by using univariate and multivariable logistic regression analyses.
4)Test the hypothesis	The study included 16,102 patients: 3,752 control, 1,473 large, and 877 beefy beyond belief patients. Heftiness and bleak corpulence had a factually noteworthy relationship with gestational hypertension (chances proportions [ORs] 2.5 and 3.2), preeclampsia (ORs 1.6 and 3.3), gestational diabetes (ORs 2.6 and 4.0), and fetal birth weight more noteworthy than 4000 g (ORs 1.7 and 1.9) and more prominent than 4500 g (ORs 2.0 and 2.4). For nulliparous patients, the cesarean conveyance rate was 20.7% for the control gathering, 33.8% for stout, and 47.4% for very big boned patients.

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