Given this data and the R2 value being R2 = 0.446 How can you interpret the results of this ANOVA
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.
Given this data and the R2 value being
R2 = 0.446
How can you interpret the results of this ANOVA?
![Oneway
[Dataseto]
Descriptives
Recall
95% Confidence Interval for
Mean
Std. Error Lower Bound
Upper Bound Minimum
Mean
Std. Deviation
Maximum
1.00
10
7,0000
1.82574
57735
5.6939
8.3061
4.00
10.00
2.00
10
6.9000
2.13177
.67412
5.3750
8.4250
3.00
11.00
3.00
10
11.0000
2.49444
.78881
9.2156
12.7844
6.00
14.00
4.00
10
13.4000
4.50185
1.42361
10.1796
16.6204
9.00
23.00
5.00
10
12.0000
3.74166
1.18322
9.3234
14.6766
5.00
19.00
Total
50
10.0600
4.00719
56670
8.9212
11.1988
3.00
23.00
Tests of Homogeneity of Variances
Levene
Statistic
df1
df2
Sig.
Recall
Based on Mean
2.529
4
45
.054
Based on Median
.893
4
45
.476
Based on Median and
.893
4
25.456
.482
with adjusted df
Based on trimmed mean
2.183
4
45
.086](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Feef72c94-d59d-478e-9030-e3b119ce1179%2F95a1faa0-c9e8-4860-959b-8b2f1f5b52ce%2Fgv802h7_processed.png&w=3840&q=75)
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