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We have been given that a large medical trial was conducted to investigate this question.

Researchers recruited $1649$women with osteoporosis and the women were assigned to take either strontium ranelate or a placebo each day.

We need to describe a completely randomized design for this experiment

In a completely randomized experiment, let us assign a unique number between $1and1649$to each of $1649$woman.

We have to randomly draw $825$unique numbers between $1and1649$.

Now the $825$corresponding women will be assigned to strontium ranelate and the remaining $824$women are assigned to placebo treatment.

We have been given that a large medical trial was conducted to investigate this question.

Researchers recruited $1649$women with osteoporosis and the women were assigned to take either strontium ranelate or a placebo each day.

We need to find why it is important to keep the calcium supplements and medical care the same

for all the women in the experiment.

If we do not keep the calcium supplements and medical care the same for all the women in the experiment then we will not be able to see whether the differences in the treatments are due to treatment or due to calcium supplements or medical care. We will not be able to distinguish their effect on the results.

We have been given that a large medical trial was conducted to investigate this question.

Researchers recruited $1649$women with osteoporosis and the women were assigned to take either strontium ranelate or a placebo each day.

We need to find out why the women who took strontium ranelate had statistically significantly fewer new fractures, on average than the women who took a placebo.

''Statistically significant'' mean differences were so large that the differences are unlikely due to chance.

the women who took strontium ranelate had statistically significantly fewer new fractures, on average than the women who took a placebo, that is unlikely that the large amount is due to chance.