Epidemiology Essay Example | Topics and Well Written Essays - 250 words

Epidemiology - Essay Example It is possible to have increased labour force participation by older workers. A slow growth in the labour force shall see health administration retain older workers by offering higher wages; flexible working schedules, increased training toward the older workers. This transition shall increase the dependence of technology in the health care field. Health administration shall invest heavily in research to come up with ways to deal with the economic implication presented by the post-industrial transition. Gaziano observes that the United States shall experience a new epidemiological transition. This new phase is because of a decline in physical activity among the population whereas their total caloric intake increases (Gaziano, 2008). The result is an epidemic of obesity that is already affecting the United States. This stage explains the expected rise in cases of type 2 diabetes, lipid abnormalities, and hypertension associated with obesity. The health administration faces this new challenge when their efforts are focused in reducing cases of degenerative and man-made diseases affecting the present society. Health administration shall invest in programs aimed at raising awareness on the importance of maintain healthy diet and being physically active. Health administration shall rely on school programs to ensure children understand the importance of physical activities. The federal government presently supports the health administration field by ensuring that the school diet promotes healthy living

Business Data Analysis Essay Example | Topics and Well Written Essays - 3000 words

Business Data Analysis - Essay Example Histogram for the First Quarter Average Order Size Figure 1.3. Histogram for the Second Quarter Average Order Size Table 1.2. Relative Frequency Distribution for the First Quarter Average Order Size Order Size Intervals Frequency Relative Frequency 0-20 0 0.00 20-40 0 0.00 40-60 0 0.00 60-80 0 0.00 80-100 2 0.03 100-120 8 0.13 120-140 17 0.27 140-160 19 0.31 160-180 10 0.16 180-200 4 0.06 200-220 1 0.02 220-240 1 0.02    62 1 Table 1.3. Relative Frequency Distribution for the Second Quarter Average Order Size Order Size Intervals Frequency Relative Frequency 0-20 0 0.00 20-40 0 0.00 40-60 0 0.00 60-80 0 0.00 80-100 1 0.02 100-120 10 0.16 120-140 24 0.38 140-160 19 0.30 160-180 5 0.08 180-200 3 0.05 200-220 2 0.03    64 1 (b) Construct similar quarterly charts for the company’s total number of orders per day. ... Relative Frequency Distribution for the Third Quarter Orders Q3 Order Intervals Frequency Relative Frequency 100-110 0 0.00 110-120 1 0.02 120-130 1 0.02 130-140 4 0.06 140-150 2 0.03 150-160 14 0.22 160-170 16 0.25 170-180 13 0.21 180-190 10 0.16 190-200 1 0.02 200-210 1 0.02    63 1 Table 1.5. Relative Frequency Distribution for the Fourth Quarter Orders Q4 Order Intervals Frequency Relative Frequency 100-110 0 0.00 110-120 0 0.00 120-130 2 0.03 130-140 2 0.03 140-150 5 0.08 150-160 10 0.16 160-170 15 0.23 170-180 9 0.14 180-190 8 0.13 190-200 8 0.13 200-210 3 0.05 210-220 1 0.02 220-230 0 0.00 230-240 0 0.00 240-250 1 0.02    64 1 Table 1.6. Relative Frequency Distribution for the First Quarter Orders Q1 Order Intervals Frequency Relative Frequency 100-110 0 0.00 110-120 1 0.02 120-130 1 0.02 130-140 1 0.02 140-150 3 0.05 150-160 3 0.05 160-170 9 0.15 170-180 12 0.19 180-190 14 0.23 190-200 7 0.11 200-210 4 0.06 210-220 5 0.08 220-230 1 0.02 230-240 1 0.02    62 1 Table 1.7. Relative Frequency Distribution for the Second Quarter Orders Q2 Order Intervals Frequency Relative Frequency 100-110 1 0.02 110-120 0 0.00 120-130 0 0.00 130-140 0 0.00 140-150 2 0.03 150-160 7 0.11 160-170 7 0.11 170-180 19 0.30 180-190 13 0.20 190-200 9 0.14 200-210 4 0.06 210-220 1 0.02 220-230 1 0.02    64 1 (c) What changing patterns are evident in the data from quarter to quarter? What are some possible explanations? The histograms and relative frequency distributions of the average order size for the first and second quarters are both uni-modal and negatively skewed. This indicates that data are concentrated to the right of the mean. This supports Laurel’s trending assumptions that â€Å"orders will be more frequent and for smaller amounts than before†. Meanwhile, the histograms