iven: Ho: Ud = 0 H1: Ud >0 retend the data had been collected from two different sets of mothers - 10 breast feeding mothers, and a different 10 post weaning mothers. Test the given ypothesis again. Report a test statistic. Make a conclusion using a significance level of 0.05. Also, explain why the given study design was better than the ypothetical study design.
Addition Rule of Probability
It simply refers to the likelihood of an event taking place whenever the occurrence of an event is uncertain. The probability of a single event can be calculated by dividing the number of successful trials of that event by the total number of trials.
Expected Value
When a large number of trials are performed for any random variable ‘X’, the predicted result is most likely the mean of all the outcomes for the random variable and it is known as expected value also known as expectation. The expected value, also known as the expectation, is denoted by: E(X).
Probability Distributions
Understanding probability is necessary to know the probability distributions. In statistics, probability is how the uncertainty of an event is measured. This event can be anything. The most common examples include tossing a coin, rolling a die, or choosing a card. Each of these events has multiple possibilities. Every such possibility is measured with the help of probability. To be more precise, the probability is used for calculating the occurrence of events that may or may not happen. Probability does not give sure results. Unless the probability of any event is 1, the different outcomes may or may not happen in real life, regardless of how less or how more their probability is.
Basic Probability
The simple definition of probability it is a chance of the occurrence of an event. It is defined in numerical form and the probability value is between 0 to 1. The probability value 0 indicates that there is no chance of that event occurring and the probability value 1 indicates that the event will occur. Sum of the probability value must be 1. The probability value is never a negative number. If it happens, then recheck the calculation.
![Breast
Post-
Difference
Subject Feeding Weaning = P – B
Breast feeding sometimes results in a temporary loss of bone mass
as calcium is depleted in the mother's body to provide for milk
production. A study by Bezerra et. al in 2004 used a sample
of 10 adolescent mothers aged 15-18 who habitually consumed <
500 mg Ca per day, and measure their total body bone mineral
content (TBBMC, in grams) both during breast feeding and in the
postweaning period". The data are shown on the right.
1
1928
2126
198
2
2549
2885
336
2825
2895
70
4
1924
1942
18
1628
1750
122
2175
2184
7
2114
2164
50
8
2621
2626
a "Bone Mass Is Recovered from Lactation to Postweaning in Adolescent
Mothers with Low Calcium Intakes" (American Journal of Clinical Nutrition
[2004]: 1322-1326)
9
1843
2006
163
10
2541
2627
86
Mean
2214.8
2320.5
105.7
SD
396.7
406.1
103.8](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fe35d795b-3b3a-45a5-a595-ba94ec33b836%2F51309a52-e54e-479c-83f6-80361f1b1b05%2F5m1m6wy9_processed.jpeg&w=3840&q=75)
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