Discriminant analysis can be used in such circumstances. However, discriminant analysis will only produce optimal solutions if its assumptions are supported by the data . An alternative approach is Logistic regression .
In Logistic regression, the dependent variable is the probability that an event will occur, hence is constraint between 0 and 1. Logistic regressions work with odds and not proportions. The odds are simply the ratio of the proportions for the two possible outcomes. If is the proportion for one outcome, then is the proportion for the second outcome : 1 A similar formula for the population odds is obtained by substituting for in this expression.
To use categorical variables in logistic regression, we need to use a numeric code. The usual way to do this is with an indicator variable. With logistic regression we are interested in modeling the mean of the response variable in terms of an explanatory variable x . Unfortunately, this is not a good model.
The logistic regression solution to this difficulty is to transform the odds using the natural logarithm . We use the term log odds for this transformation. We model the log odds as a linear function of the explanatory variable: 3 Figure 1: Logistic function 3. Results 3. As in other years, most of the women are in their twenties with the minimum age being 14 years and the maximum 50 years.
The age distribution has a standard deviation of 5 years with a range of 36 years. Further, Table 1 shows that the oldest woman to give birth was at the age of 50 while the youngest was 14 years old. There was a general Skewness of about 0. Deviation 5 Skewness 0. Error of Skewness 0. This shows almost an equal number of boys and girls being born in the five years under consideration.
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In , seven hundred and seventy-three boys were born while the number of girls was eight hundred and sixteen. The least delivery was made in with four hundred and eleven boys and three hundred and eighty-six girls.
In the first three years, more boys were born than girls with an average difference of twenty nine births. On the other hand, in and there were more girls born than boys. Table 2 further shows that the number of births increases from to In , the hospital recorded a total of seven hundred and ninety-seven births, in nine hundred and twenty-eight , in one thousand two hundred and six , in one thousand four hundred and sixty-eight 1, births, while in one thousand five hundred and eighty-nine births were recorded.
In the five years under review, the highest delivery occurred in the month of May; recording a total of seven hundred and forty-six births, followed by June with six hundred and fifty-eight births, then July recording six hundred and nine births. April also recorded five hundred and seventy-one new born children. The modal child bearing age is 25 years.
On the average, women are likely to give birth at the age of 27 years. Table 3 also shows that out of the lot, only two 2 mothers were fourteen 14 years. A cumulative percentage of 6. When only the constant is in the equation, it shows how well to predict the gender of the baby without knowing either the age of the mother or the month of conception.
Constant is included in the model. The cut v alue is. Wald df Sig. Exp B St ep 0 Constant.
Age has a score of 0. However, the month of conception does a better job than the age of the mother in predicting the gender of a baby.
Step Variables AGE. This is evident from Table 7. The model summary estimates the percentage variance accounted for in the use of the model.tornado.burnsforce.com/map36.php
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It indicates only 0. Overall, The independent variables were better at helping to determine who would be a female The odds ratios in Table 8 indicates that the odds of estimating correctly the gender of a baby improve by 0.
Conclusion The success story is that there is a relationship between the age of the mother, the month of conception and the gender of her baby based on the percentages of births of males and females. The research has revealed that the gender of a child is generally independent of the month of conception. Also the gender of a baby is independent of the age of the mother.
On using the age of the mother and the month of conception to predict the gender of the baby, the month of conception does a better prediction than the age of the mother. Thus in predicting the gender of a baby, though both are statistically independent, the month of conception gives a better prediction than the age of the mother. Elements of Statistical Analysis.
The City Printers, Accra, Ghana. Statistical Concept and Methods pp. Modern Elementary Statistics. K  Ghana Demographic and Health Survey Ghana Statistical Service  Richard, A. USA  Srivastava M. An Introduction to Applied Multivariate Statistics. Elsevier Science Publishing Co. Biological Science. The model produced an easy-to-use approach in calculating the Half Power Beam Width over the operating frequency range of 5.
The results indicated an angular width of 0. The sensitive angular width at 6. This model is useful in providing a quick guide to scientists, engineers, technicians and students in using the radio telescope at Kutunse, Ghana. Background 1. The Kutunse antenna is a metre dish telecommunications antenna, which is undergoing modifications; to be able to perform VLBI and other astronomy related science. Ghana as a country, currently lacked expertise in radio astronomy, and as part of the mandate of the AVN, scientists, engineers and students are to be trained, to be able to man radio telescopes that will be built under the phase two of the SKA.
A lot of educational and training programs have to be rolled out thence.
To be able to make great use of this radio telescope and others that would be built in Ghana in the second phase of the SKA project, a lot of scientists, engineers, technicians and students have to be trained in various aspects of astronomy. This can then be used to model other features of the antenna.
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Ansah-Narh et al, It was last used as a telecommunicating antenna in the early s. The conversion process is expected to be completed in Madjitey et al, It would then be capable of performing VLBI observations and maser studies. A lot of numerical estimations of performance and structural mechanic modifications have to be ascertained Ansah-Narh et al, The Kutunse radio antenna 1.
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It specifies the angular width within which the antenna is most sensitive. Hence it tells us the minimum angular extent that a source must have, if we want to resolve its structure. Sources smaller than this width - such as the Sun - will fill only part of the antenna beam, and hence the received signal will be less than if the source was extended Strasbourg, Another important beamwidth is the angular separation between the first nulls of the pattern and it is referred to as first- Null Beamwidth FNBW.
Field pattern in linear scale Balanis Other beamwidths are those where the pattern is dB from the maximum, or any other value. In practice however, the term beamwidth, with no other identification, usually refers to HPBW.
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