The performance of students at a local community was recorded and categorized based on student's faculty. The gathered data was then analyzed by a statistician and the results obtained using MINITAB are shown below: Expected counts are printed below observed counts High Low Average Total Science 12 30 52 94 (15.67) (29.24) (49.09) Humanities 14 20 30 ** (10.67) (19.91) (33.42) Law 4 6 12 22 (6.84) (11.49) Total 30 56 94 180 Chi-sq = 0.858 + 0.020 + *** + 1.042 0.000 + 0.350 + 0.030 + 0.104 + 0.023 =2.600

The performance of students at a local community was recorded and categorized based on student's faculty. The gathered data was then analyzed by a statistician and the results obtained using MINITAB are shown below: Expected counts are printed below observed counts High Low Average Total Science 12 30 52 94 (15.67) (29.24) (49.09) Humanities 14 20 30 (10.67) (19.91) (33.42) Law 4 6 12 22 (6.84) (11.49) Total 30 56 94 180 Chi-sq = 0.858 + 0.020 + * + 1.042 0.000 + 0.350 + 0.030 + 0.104 + 0.023 =2.600

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Concept explainers

Confidence Intervals

When we calculate intervals in probability and statistics, it can be simply termed as finding out a confidence interval. The confidence interval is usually calculated from the data set which is observed. The value of the parameter that needs to be calculated is present here only.

Question

State the conclusion for the test. Give reason for your answer.

The performance of students at a local community was recorded and categorized based on student's
faculty. The gathered data was then analyzed by a statistician and the results obtained using
MINITAB are shown below:
Expected counts are printed below observed counts
High
Low
Average
Total
Science
12
30
52
94
(15.67)
(29.24)
(49.09)
Humanities
14
20
30
**
(10.67)
(19.91)
(33.42)
Law
4
6
12
22
(*)
(6.84)
(11.49)
Total
30
56
94
180
Chi-sq =
0.858 +
0.020 +
*** +
1.042
0.000 +
0.350 +
0.030 +
0.104 +
0.023
=2.600

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