You are a researcher who studies children’s behavior in schools – your goal is to decrease problem behaviors (fighting, disrupting class, disrespecting the teacher, etc) so students can learn better. You think that part of the problem is that students aren’t getting enough one-on-one attention, so you set out to see if placing a teacher’s aide in each classroom makes a difference in the number of problem behaviors. You hypothesize that more adults in the classroom will lead to better behaved classrooms. You recruit a total of 20 teachers. You split the teachers into two groups of 10 teachers each. For 10 of the teachers, you place a teacher’s aide in the classroom to help the teacher. The other 10 teachers do not get a teacher’s aide during this stage of the study. For a month, you have all 20 teachers in each classroom record every time a problem behavior occurred. At the end of the month, you have the teachers report to you the tally of the number of problem behaviors that occurred that month. 1. Enter and label the data appropriately in SPSS 2. Choose the appropriate statistical test that should be used to analyze the data and explain why you chose this particular test 3. Analyze the data using the test specified 4. Describe the results 5. Make a conclusion about whether the study’s hypothesis was supported.
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.
The Experiment:
You are a researcher who studies children’s behavior in schools – your goal is to decrease problem behaviors (fighting, disrupting class, disrespecting the teacher, etc) so students can learn better. You think that part of the problem is that students aren’t getting enough one-on-one attention, so you set out to see if placing a teacher’s aide in each classroom makes a difference in the number of problem behaviors. You hypothesize that more adults in the classroom will lead to better behaved classrooms.
You recruit a total of 20 teachers. You split the teachers into two groups of 10 teachers each. For 10 of the teachers, you place a teacher’s aide in the classroom to help the teacher. The other 10 teachers do not get a teacher’s aide during this stage of the study. For a month, you have all 20 teachers in each classroom record every time a problem behavior occurred. At the end of the month, you have the teachers report to you the tally of the number of problem behaviors that occurred that month.
1. Enter and label the data appropriately in SPSS
2. Choose the appropriate statistical test that should be used to analyze the data and explain why you chose this particular test
3. Analyze the data using the test specified
4. Describe the results
5. Make a conclusion about whether the study’s hypothesis was supported.
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