A teacher believes that students who study more than four hours for her tests will do better than students who do not study for her tests. To test this belief, the teacher recruited n=8 students. She had the n=8 students take one of her tests without studying. Without studying, the mean score on the test was M1=85, with a sample standard deviation of s1=5. Then the teacher had the same n=8 students take one of her tests after studying for four hours. After studying for four hours, the mean score on the test was M2=75, with a sample standard deviation of s2=4. The correlation between the 8 students' scores on the first test and the 8 students' scores on the second test was r = +.96. Perform a t-test between correlated samples by answering the questions below. Use an alpha-level of α=.05. 1. What is the research hypothesis, H1? 2. What is the null hypothesis, H0? 3. What is the degrees of freedom for this problem, df? 4. What is the critical value of t, tcrit? (Be sure to use a + or a - sign for your answer.) 5. What is the mean of the distribution of the difference between correlated sample means, μM1-M2? 6. What is the standard deviation of the distribution of the difference between correlated sample means, σM1-M2? 7. What is the z-score of the difference between sample means, M1-M2? 7. Based on the relation between the critical value of t and the t-score of the difference between sample means, can you reject the null hypothesis? 8. Based on whether or not you can reject the null hypothesis, can you accept the research hypothesis?
Compound Probability
Compound probability can be defined as the probability of the two events which are independent. It can be defined as the multiplication of the probability of two events that are not dependent.
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Probability theory is a branch of mathematics that deals with the subject of probability. Although there are many different concepts of probability, probability theory expresses the definition mathematically through a series of axioms. Usually, these axioms express probability in terms of a probability space, which assigns a measure with values ranging from 0 to 1 to a set of outcomes known as the sample space. An event is a subset of these outcomes that is described.
Conditional Probability
By definition, the term probability is expressed as a part of mathematics where the chance of an event that may either occur or not is evaluated and expressed in numerical terms. The range of the value within which probability can be expressed is between 0 and 1. The higher the chance of an event occurring, the closer is its value to be 1. If the probability of an event is 1, it means that the event will happen under all considered circumstances. Similarly, if the probability is exactly 0, then no matter the situation, the event will never occur.
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