DATA 606 Project Presentation

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Myth or Fact: Do more Women Go into Labor During a Full Moon ?

Compare the birth counts on regular days with the full moon days.
Do you see any difference?
Can we draw any inference bsaed on the data?

Null Hypothesis: There is no effect of Full Moon with Women going into Labor and child being born.

Alternate Hypothesis: Women go into Labor due to Full Moon, there are more births on full moon nights.

Below is the reference to an article on this topic:
Ref: https://www.dukehealth.org/blog/myth-or-fact-more-women-go-labor-during-full-moon

Split Date description into Date, Month and Year

Group By Year, Sum of births and sorted descending

Year 2007 has highest number of births

Mean birth count by month

[1] "Total Births(mean) in 2007 is 144008.61"

[1] "Mean Birth per day in 2007 is 12000.72"

Year 2007 has highest number of births

[1] "Mean Birth per full moon day in 2007 is 12934.00"

One of the most common statistical tasks is to compare an outcome between two groups.

birth.t.test <- t.test(merge_by_month_data_2007$mean, merge_by_month_data_2007$births, data = merge_by_month_data_2007)
birth.t.test

    Welch Two Sample t-test

data:  merge_by_month_data_2007$mean and merge_by_month_data_2007$births
t = 0.093272, df = 12.465, p-value = 0.9272
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
 -1570.097  1711.144
sample estimates:
mean of x mean of y 
 12009.60  11939.08 

# p-value
birth.t.test$p.value

[1] 0.9271695

# confidence interval
birth.t.test$conf.int

[1] -1570.097  1711.144
attr(,"conf.level")
[1] 0.95

High p-values indicate that the evidence is not strong enough to suggest an effect exists. It's possible that the sample size is too small for the hypothesis test to detect it.