the birth weight (gm) of the infants between MEG and HEG ? H0: ________________________________ H1: ________________________________ State the name of the test: Test Statistic: Define the rejection region: Calculate the p-value: Conclusion in context of the study:
Continuous Probability Distributions
Probability distributions are of two types, which are continuous probability distributions and discrete probability distributions. A continuous probability distribution contains an infinite number of values. For example, if time is infinite: you could count from 0 to a trillion seconds, billion seconds, so on indefinitely. A discrete probability distribution consists of only a countable set of possible values.
Normal Distribution
Suppose we had to design a bathroom weighing scale, how would we decide what should be the range of the weighing machine? Would we take the highest recorded human weight in history and use that as the upper limit for our weighing scale? This may not be a great idea as the sensitivity of the scale would get reduced if the range is too large. At the same time, if we keep the upper limit too low, it may not be usable for a large percentage of the population!
The effects of high- and medium-intensity exercise on the fetus and on the onset and length of labor, birth weight, and Apgar score were studied in healthy athletes who performed a high level of exercise before conception.
Below is a table of 42 women were recruited to the study by newspaper ads and through acquaintances (also known as snowball sampling). They elected to follow either a high- or a medium-intensity exercise program throughout pregnancy until 6 weeks after delivery. Below is a table comparing the two different exercise regimes medium-intensity (MEG) and high-intensity (HEG) on selected neonatal characteristics.
Using the information in the table, test whether there is a statistically significant population
H0: ________________________________
H1: ________________________________
State the name of the test:
Test Statistic:
Define the rejection region:
Calculate the p-value:
Conclusion in context of the study:
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