The range is the difference between the highest score and the lowest score in the distribution.
What is the difference between the highest and lowest scores?
The difference refers to the mathematical operation of subtraction, or removing a certain amount from a number. In this question, they are referring to the difference between the highest and lowest scores, which means highest score – lowest score = difference.
What is the difference between highest and lowest temperature?
Answer: The difference between the high and low temperature in the thermometer is 23°F. Step-by-step explanation: Given information: Highest temperature = 20°F and the lowest temperature = -3°F.
What is the most frequent score in a distribution?
The median has equal numbers of values both above and below it. The mode is the most frequent value in the distribution. It turns out that if the distribution is a nice symmetric distribution, (that is, the left half is the mirror image of the right half of the curve) all three have the same value.
Which of the following measures of variation is more easily affected by the extreme scores?
Since the variance represents the squared differences, the standard deviation represents the true differences and is therefore easier to interpret and much more commonly used. Since the standard deviation relies on the mean of the distribution, however, it is also affected by extreme scores in a skewed distribution.
In which type of distribution are the mean median and mode equal quizlet?
The mean , the median, and the mode will have the same value when the distribution is unimodal and symmetrical. Under what circumstances is the mode the preferred measure of central tendency? The mode is preferred when the scores are measured on a nominal scale.
Is 0.75 a positive temperature?
0.75 is between 0 and 1; this means it is greater than 0, so it is a positive number.
What are the six seasons in Indian climate?
Traditionally, North Indians note six seasons or Ritu, each about two months long. These are the spring season (Sanskrit: vasanta), summer (grīṣma), monsoon season (varṣā), autumn (śarada), winter (hemanta), and prevernal season (śiśira). These are based on the astronomical division of the twelve months into six parts.
Which place is the hottest?
Death Valley, California
According to the World Meteorological Organization’s Global Weather & Climate Extremes Archive, temperatures in Death Valley reached international extremes when they hit 134 degrees Fahrenheit in 1913 — the hottest temperature recorded anywhere in the world.
Why is the mean sensitive to extreme scores?
The mean is sensitive to extreme scores when population samples are small. For example, for a class of 20 students, if there were two students who scored well above the others, the mean will be skewed higher than the rest of the scores might indicate. Means are better used with larger sample sizes.
Which one is most influenced by extreme scores?
In these cases, the mean is clearly not representative of the distribution. So the median is a better measure of the central tendency. Extreme scores strongly affect the mean, but not the median.
Is the mean influenced by extreme scores?
the mean is pulled in the direction of the extreme score. the mean is not affected by the score. the mean will be larger than the median.
What is the best measure of variation?
The interquartile range is the best measure of variability for skewed distributions or data sets with outliers.
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MSE is calculated by:
- measuring the distance of the observed y-values from the predicted y-values at each value of x;
- squaring each of these distances;
- calculating the mean of each of the squared distances.
How do you determine the best measure of variation?
It’s the easiest measure of variability to calculate. To find the range, simply subtract the lowest value from the highest value in the data set. Range example You have 8 data points from Sample A. The highest value (H) is 324 and the lowest (L) is 72.
How do you tell if a distribution is positively or negatively skewed?
These taperings are known as “tails.” Negative skew refers to a longer or fatter tail on the left side of the distribution, while positive skew refers to a longer or fatter tail on the right. The mean of positively skewed data will be greater than the median.