Table 1: Characteristics of Women According to Intake of Alcohol Variable Nondrinker* Drinker* Test Statistic** P value Mean age of mother at birth (years) 28.2 + 4.4 30.1 + 4.4 19.16 <.0001 % of mothers with education > 12 years 71.1% 77.6% 226.9 <.0001 % of mothers who smoked during pregnancy 7.5% 12.0% 100.7 <.0001 Prepregnancy BMI (kg/m2) 23.8 + 4.6 23.7 + 4.3 0.8 0.469 Write out a complete answer to each of the four research questions stated in the matrix. Be sure to state what is being compared and what group or groups did better and by how much. Also, state if the difference was statistically significant or not.
Table 1: Characteristics of Women According to Intake of Alcohol Variable Nondrinker* Drinker* Test Statistic** P value Mean age of mother at birth (years) 28.2 + 4.4 30.1 + 4.4 19.16 <.0001 % of mothers with education > 12 years 71.1% 77.6% 226.9 <.0001 % of mothers who smoked during pregnancy 7.5% 12.0% 100.7 <.0001 Prepregnancy BMI (kg/m2) 23.8 + 4.6 23.7 + 4.3 0.8 0.469 Write out a complete answer to each of the four research questions stated in the matrix. Be sure to state what is being compared and what group or groups did better and by how much. Also, state if the difference was statistically significant or not.
Table 1: Characteristics of Women According to Intake of Alcohol Variable Nondrinker* Drinker* Test Statistic** P value Mean age of mother at birth (years) 28.2 + 4.4 30.1 + 4.4 19.16 <.0001 % of mothers with education > 12 years 71.1% 77.6% 226.9 <.0001 % of mothers who smoked during pregnancy 7.5% 12.0% 100.7 <.0001 Prepregnancy BMI (kg/m2) 23.8 + 4.6 23.7 + 4.3 0.8 0.469 Write out a complete answer to each of the four research questions stated in the matrix. Be sure to state what is being compared and what group or groups did better and by how much. Also, state if the difference was statistically significant or not.
Table 1: Characteristics of Women According to Intake of Alcohol
Variable
Nondrinker*
Drinker*
Test Statistic**
P value
Mean age of mother at birth (years)
28.2 + 4.4
30.1 + 4.4
19.16
<.0001
% of mothers with education > 12 years
71.1%
77.6%
226.9
<.0001
% of mothers who smoked during pregnancy
7.5%
12.0%
100.7
<.0001
Prepregnancy BMI (kg/m2)
23.8 + 4.6
23.7 + 4.3
0.8
0.469
Write out a complete answer to each of the four research questions stated in the matrix. Be sure to state what is being compared and what group or groups did better and by how much. Also, state if the difference was statistically significant or not.
Were the values of BMI more varied among the women who drank or did not drink prior to getting pregnant? Explain how you know this.
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Use Table 1 as your source of information. Use the provided completed cells in the matrix to help you fill in the rest of the cells.
Variable 1
Variable 2
Name of Variable 1 (Provide Units or Categories)
Quantitative (continuous) or Categorical?
Name of Variable 2 (Provide Units or Categories)
Quantitative (continuous) or Categorical?
Appropriate Statistical Test to use
Corresponding Research Question
P value
[Insert response.]
[Insert response.]
Drinker type (nondrinker or drinker)
[Insert response.]
Two-sample independent t-test
[Insert response.]
[Insert response.]
[Insert response.]
categorical
[Insert response.]
[Insert response.]
[Insert response.]
Did the amount of education received vary by mothers who drank and those who did not?
[Insert response.]
Pre-pregnant intake of alcohol (drinker vs nondrinker)
[Insert response.]
Smoked during pregnancy (y/n)
categorical
[Insert response.]
[Insert response.]
[Insert response.]
[Insert response.]
[Insert response.]
Age of mother when child is born (years)
quantitative (continuous)
[Insert response.]
[Insert response.]
<.0001
Definition Definition Measure of central tendency that is the average of a given data set. The mean value is evaluated as the quotient of the sum of all observations by the sample size. The mean, in contrast to a median, is affected by extreme values. Very large or very small values can distract the mean from the center of the data. Arithmetic mean: The most common type of mean is the arithmetic mean. It is evaluated using the formula: μ = 1 N ∑ i = 1 N x i Other types of means are the geometric mean, logarithmic mean, and harmonic mean. Geometric mean: The nth root of the product of n observations from a data set is defined as the geometric mean of the set: G = x 1 x 2 ... x n n Logarithmic mean: The difference of the natural logarithms of the two numbers, divided by the difference between the numbers is the logarithmic mean of the two numbers. The logarithmic mean is used particularly in heat transfer and mass transfer. ln x 2 − ln x 1 x 2 − x 1 Harmonic mean: The inverse of the arithmetic mean of the inverses of all the numbers in a data set is the harmonic mean of the data. 1 1 x 1 + 1 x 2 + ...
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