Use the table, in (i) to draw the following graph: a. Histogram b. Frequency Polygon c. Cumulative Frequency curve (or Ogive). Use the graph to estimate the semi-interquartile range d. Boxplots iv. v. Calculate the following measures of Location: a. Mean b. Mode c. Median Calculate the following measures of variability vi. a. Variance b. Standard deviation
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.
![The paper "Study on the Life Distribution of Microdrills" (J. of Engr. Manufacture,
2002: 301–305) reported the following observations, listed in increasing order, on
drill lifetime (number of holes that a drill machines before it breaks) when holes
were drilled in a certain brass alloy
11
14
20
23
31
36
39
44
47
50
59
61
65
67
68
71
74
76
78
79
81
84
85
89
91
93
96
99
101
104
105
105
112
118
123
136
139 141
148
158
161
168
184 206 248 263 289 322 388 513
i. Construct the frequency table using the following classes: 0-50, 51-100, etc.
ii. What is the range of the data?
iii. In a tabular Form, calculate the
a. Class Mark.
b. Relative Frequency
c. Cumulative Frequency
d. Relative Cumulative Frequency
iv. Use the table, in (i) to draw the following graph:
a. Histogram
b. Frequency Polygon
c. Cumulative Frequency curve (or Ogive). Use the graph to estimate the
semi-interquartile range
d. Boxplots
v. Calculate the following measures of Location:
а. Мean
b. Mode
c. Median
Calculate the following measures of variability
vi.
a. Variance
b. Standard
iation](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F20f20621-f372-440f-83e7-62adbb59a696%2F703c0de1-025f-4c42-8b51-fd73eee1ab5b%2Fvcbv8w8_processed.jpeg&w=3840&q=75)
![Abra him Ale hh
20120402
Assume Xbe therandon vriehh refresenhing the drill
Prefare a frequency table by considering the closses as o
lol-159
the frequnency coresponding to aparticular class is the
of X Lyingin that class.
Class
O-50
frequency
51-100
l0-150
151-200
201- 250
2
2.
251-300
301-350
351-400
Yo1 -450
451-500
501-550
) in the dutaset the mina'nmu value of x
given
99ue of X is 513.
the
range of dataset is be given by the diff
data rabue andminimmm data value thatis
Substitud](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F20f20621-f372-440f-83e7-62adbb59a696%2F703c0de1-025f-4c42-8b51-fd73eee1ab5b%2Fk7dyv2r_processed.jpeg&w=3840&q=75)
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