QUESTION 25 The next few questions relate to this example: A researcher is interested in whether an alternative treatment, "Attention Focus Formula", effectively reduces Attention Deficit Disorder (ADD). The researcher has access to 10 children who have all been diagnosed with ADD. He places them on a regimen of "Attention Focus Formula" for a period of six weeks. Afterwards, he gives the children the "Attention Deficit Disorders Evaluation Scale" (ADDES), which is a 43-item test. Population scores on the ADDES are known to have a standard deviation of 12 and a score of 30 is average for children who have a clinical level of ADD. The following ADDES scores were obtained from the 10 children after being given Attention Focus for six weeks. The researcher wants to know if Attention focus Formula was effective in reducing ADD. (use alpha=0.05) Child# 4 6. 8. 10 24 21 25 28 30 29 25 31 22 28 ADDES ScCore This hypothesis test requires a(n): O single Sample Z test O Dependent sample t-test O Independent Sample t-test O single Sample t- test QUESTION 26 A researcher is interested in whether an alternative treatment, "Attention Focus Formula", effectively reduces Attention Deficit Disorder (ADD). The researcher has access to 10 children who have all been diagnosed with ADD. He places them on a regimen of "Attention Focus Formula" for a period of six weeks. Afterwards, he gives the children the "Attention Deficit Disorders Evaluation Scale" (ADDES), which is a 43-item test. Population scores on the ADDES are known to have a standard deviation of 12 and a score of 30 is average for children who have a clinical level of ADD. The following ADDES scores were obtained from Save All Answers Click Save and Submit to save and submit. Click Save All Answers to save all answers. 3.
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.
Question 25
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