A recent study of newborns used umbilical cord blood to test for 25-hydroxyvitamin D, which is an indicator of vitamin D status of the baby. It was reported that 65% of babies tested were deficient in...


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A recent study of newborns used umbilical cord blood to test for 25-hydroxyvitamin D, which is an indicator of vitamin D status of the baby. It was<br>reported that 65% of babies tested were deficient in vitamin D in spite of the fact that the mothers consumed vitamin D supplements during<br>pregnancy. A researcher in a northern region felt that this percentage was too high for this region because with the reduced hours of sunshine during<br>winter months, pregnant women tended to use higher doses of supplements to compensate. A sample of 125 newborns was tested, and 58% were<br>declared to be deficient in vitamin D. The critical value for the normal distribution corresponding to a 90% confidence interval is 1.645.<br>14. What would be the appropriate null and alternative hypotheses that the researcher should establish for a test of significance?<br>

Extracted text: A recent study of newborns used umbilical cord blood to test for 25-hydroxyvitamin D, which is an indicator of vitamin D status of the baby. It was reported that 65% of babies tested were deficient in vitamin D in spite of the fact that the mothers consumed vitamin D supplements during pregnancy. A researcher in a northern region felt that this percentage was too high for this region because with the reduced hours of sunshine during winter months, pregnant women tended to use higher doses of supplements to compensate. A sample of 125 newborns was tested, and 58% were declared to be deficient in vitamin D. The critical value for the normal distribution corresponding to a 90% confidence interval is 1.645. 14. What would be the appropriate null and alternative hypotheses that the researcher should establish for a test of significance?

Jun 02, 2022
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