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Several population studies have demonstrated an inverse correlation of the rate of sudden infant death syndrome (SIDS) with birth weight. The occurrence of SIDS in one of a pair of twins provided the opportunity to test the hypothesis that birth weight is a major determinant of SIDS. Using the data (obtained from hospital records), determine if the birth weight of the twin who died from SIDS differed significantly from the birth weight of the twin who did not die. [Adapted from Peterson, Univ. of WA; data altered.]. Perform a hypothesis test, but also include a descriptive histogram of the raw data and determine Pearson correlation.

Q1. Birth weights (g) of twins where one twin died of Sudden Infant Death Syndrome (SID)

SID Non-SID
1474 2098
3657 3119
3005 3515
2041 2126
2325 2211
2296 2750
3430 3402
3515 3232
1956 1701
2098 2410
3204 2892
2381 2608
2892 2693
2920 3232
3005 3005
2268 2325
3260 3686
3260 2778
2155 2552
2835 2693
2466 1899
3232 3714
1701 1956
2580 2438
2750 2807
1956 1843
1871 2041
2296 2183
2268 2495
2070 1673
1786 1843
3175 3572
2495 2778
1956 1588
2296 2183
3232 2778
1446 2268
1559 1304
2835 2892
2495 2353
1559 2466
  • State which test you are using. State the cut-off value (?) you are using, if not provided.
  • State assumptions that need to be made, and test for them.
  • State the number of tails; justify one-tailed tests (if needed)
  • State the null and alternative hypotheses.
  • Calculate the test score, and give the corresponding p-value
  • State if you accept or reject the null hypothesis

Statistics and Probability, Statistics

  • Category:- Statistics and Probability
  • Reference No.:- M9990308

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