Descriptives VALUE 95% Confidence Interval for Mean N. Mean Std. Deviation Std. Error Lower Bound Upper Bound Minimum Maximum 1. 50 47.26000 8.642113 1.222179 44.80394 49.71606 27.000 63.000 50 31.00000 5.525451 781417 29.42968 32.57032 21.000 47.000 50 28.94000 9.990628 1.412888 26.10069 31.77931 6.000 47.000 Total 150 35.73333 11.619624 948738 33.85861 37.60805 6.000 63.000 Test of Homogeneity of Variances Levene Statistic df1 df2 Sig. VALUE Based on Mean 7.260 147 .001 Based on Median 7.254 147 .001 Based on Median and 7.254 131.102 .001 with adjusted df Based on trimmed mean 7.259 147 001 ANOVA VALUE Sum of Squares df Mean Square Sig. Between Groups 10070.893 5035.447 73.679 .000 Within Groups 10046.440 147 68.343 Total 20117.333 149
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.
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