20 3D 50 70 10D 11D 120 130 140 150 160 17 180 190 20 21 220 23 24 25 26 For 6 months we worked with a group of 15 severely mentally handicapped individuals in an attempt to teach them self-care through imitation. For a second 6- month period, we used physically guided practice with the same individuals. For each 6-month session, we collected ratings on the level of required assistance (high 3Dbad) for each person. The data for each individual follows (on the next page). Was the assistance significantly reduced in the second 6-month period? (use alpha=0.05) %3D Subject # 4 6. 7. 8. 9. 10 11 12 13 15 1 Imitation 14 11 19 4 9. 12 14 17 18 6. 15 3 6. 9. 16 10 13 1 6. Physical guidance 10 13 Given your the obtained statistic that you calculated, if you were conducting a hypothesis test on this scenario, what would Step 4 and 5 look like? Since tobt = -2.23 < tcrit = +1.761 then we would reject the Null and conclude that the amount of assistance needed with physical guidance was significantly less %3D than the amount needed with intimidation. Since tobt = 2.23 > tcrit = -1.761 then we would fail to reject the Null and conclude that the amount of assistance needed with physical guidance was not %3D significantly less than the amount needed with intimidation. Since tobt = -2.23 < tcrit = -1.761 then we would reject the Null and conclude that the amount of assistance needed with physical guidance was significantly less %3D than the amount needed with intimidation. Since zobt =-28 < zcrit= -1.645 then we would reject the Null and conclude that the amount of assistance needed with physical guidance was significantly less than the amount needed with intimidation. QUESTION 24 Calculate r for the above hypothesis test example. Provide your answer rounded to two decimal places. Jhy Save All Answers Click Save and Submit to save and submit. Click Save All Answers to save all answers. 483

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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.