Consider the following data: 24 43 47 18 28 18 39 34 51 50 34 39 39 18 23 33 29 17 17 41 47 42 35 51 40 41 45 (a) Find the number of classes needed to construct a histogram. Number of classes (b) Find the class length. (Round your answer to the nearest whole number.) Class length Co 3
Inverse Normal Distribution
The method used for finding the corresponding z-critical value in a normal distribution using the known probability is said to be an inverse normal distribution. The inverse normal distribution is a continuous probability distribution with a family of two parameters.
Mean, Median, Mode
It is a descriptive summary of a data set. It can be defined by using some of the measures. The central tendencies do not provide information regarding individual data from the dataset. However, they give a summary of the data set. The central tendency or measure of central tendency is a central or typical value for a probability distribution.
Z-Scores
A z-score is a unit of measurement used in statistics to describe the position of a raw score in terms of its distance from the mean, measured with reference to standard deviation from the mean. Z-scores are useful in statistics because they allow comparison between two scores that belong to different normal distributions.
 alt="Consider the following data:
24
43
47
18
28
18
39
34
18
17
50
39
43
34
23
47
33
29
17
41
51
42
35
51
40
41
45
(a) Find the number of classes needed to construct a histogram.
Number of classes
(b) Find the class length. (Round your answer to the nearest whole number.)
Class length
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 alt="(d) Tally the number of values in each class and develop a frequency distribution. (Round your midpoint and percent answers to 1
decimal place.)
Data
Cumulative
Lower
Upper
Midpoint
Width
Frequency
Percent
Frequency
Percent
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