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The study of these two quantities among mothers just after giving birth is very important as these are the quantities that is used to calculate the body mass index used for health check (Taylor, 2010, p. 258). The data provided in the spreadsheet gives information about mothers within one hour of giving birth to infants at the oxford street hospital. The information in the data includes the weight of the baby, the age of the mother, their height, weight, gestation period, and whether they smoke or not.
In order to analyze the relationship between the height and weight of the mothers, I will plot the scatter graphs, cumulative frequency curve and box plot together with statistical values such as mean, mode, range and median (Cleveland, 1994). Since the population is too large, I will use random sampling method to draw 50 samples from the population to ensure that the investigation represented the population fairly (Mann, 2010). In this case a scientific calculator will be used with function “Ran#” to generate the random numbers and then multiplied by 1148 to obtain the numbers in the range of 1 to 1148.
This will be done keeping in mind that no single random number will be repeated. The sample will then be used for the study. The hypothesis of this study is that taller mothers weigh more than shorter mothers. This is the expected outcome of this study since when mothers grow tall, they add more mass to their body hence increasing their weight (Nolan & Speed, 2000). As was mentioned above, random sampling was used to obtain 50 samples from the population. The samples is shown in the table 1 below.
The data is then analyzed by scatter graph for possible relationship. Frequency curve is used to obtain the lower quartile, median upper quartile (Jan, 1962). The quartile range is then calculated. Box plot is used to analyze the spread of the data. As is evident from the scatter plot above, there is a significant
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