XYZ Mat 120 Module 1 Lesson 1 2 — Transcript

Full transcript

1. 0:00this is module 1 lesson 1.2 we're
2. 0:03talking about types of data
3. 0:05there are two main types of data they're
4. 0:07quantitative
5. 0:08and qualitative the quantitative are
6. 0:11numerical values that can be ordered or
7. 0:13ranked
8. 0:14the two types of quantitative data are
9. 0:16discrete
10. 0:17and continuous discrete is countable
11. 0:21they're the natural numbers they don't
12. 0:23have fractions and decimals
13. 0:25things like numbers of children in your
14. 0:27family numbers of students in this class
15. 0:30numbers of calls you received on your
16. 0:32cell phone yesterday
17. 0:34those are things that do not have any
18. 0:36fractions or decimal possibilities
19. 0:38the continuous is when you measure so
20. 0:41therefore you can have fractions and
21. 0:43decimals for example your normal body
22. 0:45temperature is 98.6
23. 0:47your lifetime on your battery calculator
24. 0:49could be 2.5 years
25. 0:51could be 2 years but also it could be
26. 0:54more than that you could have the
27. 0:55fraction or decimal
28. 0:56the weights of newborn infants those are
29. 0:59pounds and
30. 1:00ounces so that would be fractions and
31. 1:02decimals
32. 1:03the gallons of water in the swimming
33. 1:04pool so that all would fall into the
34. 1:07continuous category
35. 1:09the other type of data is qualitative
36. 1:11this has nothing to do necessarily with
37. 1:12numbers
38. 1:13it's placed in categories so examples
39. 1:17are
40. 1:17gender eye color types of car you drive
41. 1:21color a car you drive anything you can
42. 1:23put in a category
43. 1:26so for our homework problems the data
44. 1:28you collect is the number of twitter
45. 1:31followers since it's the number it's
46. 1:33quantitative because we're putting it in
47. 1:36a category numerically but then if you
48. 1:39collect data
49. 1:40for restaurant ratings superior good
50. 1:43average porn fare we're just
51. 1:44ranking things this is qualitative so
52. 1:47we're just putting in
53. 1:48categories
54. 1:52now because of the difficulty of
55. 1:54weighing a bear in the woods
56. 1:56researchers caught and measured 54 bears
57. 1:58they recorded
58. 1:59weight neck size length and sex they
59. 2:01hoped to find a way to estimate weight
60. 2:03from the other more easily determine
61. 2:05quantities
62. 2:06so look at the quantitative variables
63. 2:09which one are quantitative variables for
64. 2:11this study
65. 2:12well sex is not because that would be
66. 2:14male or female so that would be a
67. 2:16category
68. 2:17that would be qualitative weight is
69. 2:20numerical so that would be
70. 2:22quantitative length is also numerical so
71. 2:25that would be quantitative
72. 2:27next size would be a numerical value
73. 2:30quantitative
74. 2:31and then the bear like the type of beard
75. 2:33we're going to put that in a category
76. 2:35so that would be qualitative
77. 2:39then we have levels of measurement the
78. 2:41first level of measurement is the
79. 2:43nominal level of measurement
80. 2:45this is names labels and categories for
81. 2:47instance
82. 2:48college major nationality political
83. 2:50preference anything you put in a
84. 2:52category
85. 2:53is a nominal level of measurement it's
86. 2:56qualitative data in the nominal category
87. 3:01ordinal is when you put data in some
88. 3:03kind of order for example grades a b and
89. 3:06c
90. 3:07rating scales poor fair good ranking of
91. 3:10college teams for second and third
92. 3:12anything that you
93. 3:13order is ordinal data interval
94. 3:17is data where a difference between
95. 3:20meaning value
96. 3:21between values is meaningful but 0 is
97. 3:23not a starting point that's kind of the
98. 3:25key here to to identify these for
99. 3:28example
100. 3:29on an sat score 0 is not your starting
101. 3:32point it doesn't mean anything to say
102. 3:33your sat score
103. 3:35was 0 or 5 or 10 because those are
104. 3:37always in the hundreds
105. 3:39iq score the average iq score is 100
106. 3:43so that doesn't start from zero
107. 3:45temperature outside
108. 3:46could be negatives if you live up north
109. 3:48then you could have a negative
110. 3:49temperature so you don't start with
111. 3:51zero body temperature is another one
112. 3:53because 98.6 is the normal body
113. 3:55temperature
114. 3:57ratio is where it's interval data
115. 4:01where 0 is the starting point for
116. 4:04example when you're born
117. 4:05they're going to give height and weight
118. 4:07and so your
119. 4:09weight is always pounds and ounces and
120. 4:11then your height
121. 4:12would be inches generally but you could
122. 4:16have you know 20
123. 4:1721.5 or whatever so that starts from
124. 4:20zero
125. 4:21age when you're born you know that
126. 4:24builds on
127. 4:25hours days weeks months and so age would
128. 4:29be ratio because that bills from zero
129. 4:31and your salary also bills from zero
130. 4:35so here's a homework example which level
131. 4:38of measurement
132. 4:39so gender gender is just naming that's
133. 4:42nominal we're going to put it in the
134. 4:43nominal category
135. 4:46wage per hour that starts from zero
136. 4:49remember so we're going to make that one
137. 4:50ratio because it starts from
138. 4:52zero age also starts from zero so that
139. 4:56one is ratio also
140. 4:59habits on a ranking scale of always
141. 5:02sometimes a never so if we're putting
142. 5:04order to this then that one would be
143. 5:06ordinal
144. 5:08temperature in celsius now remember this
145. 5:10is like your temperature outside it
146. 5:12doesn't have
147. 5:13anything to do with starting at zero so
148. 5:15in celsius
149. 5:17then the the normal temperature is a
150. 5:20little bit different from the fahrenheit
151. 5:21but it's still the same idea
152. 5:24that would be interval letter grade that
153. 5:27one where you notice we're putting it in
154. 5:29orders
155. 5:30a b c d or f and so that would be
156. 5:33ordinal so make sure that you understand
157. 5:36the levels of measurement
158. 5:38because each of these are a little bit
159. 5:41different
160. 5:42and then the last one this one's a
161. 5:44little vague
162. 5:46is this discrete or continuous outside
163. 5:49temperature well remember discrete has
164. 5:52no decimals or fractions
165. 5:54continuous can have
166. 5:57decimals and fractions now when you come
167. 5:59to this problem in your homework
168. 6:01you might not get this exact problem
169. 6:03there are a lot of them there generated
170. 6:05but if you do get this one you might get
171. 6:08a little bit thrown off we know that
172. 6:09when the
173. 6:10meteorologist says the temperature they
174. 6:13generally say it's going to be 96 you
175. 6:15generally do not see fractions and
176. 6:17decimals
177. 6:18but with their models can they have
178. 6:22fractions and decimals
179. 6:24for outside temperature they can
180. 6:28and they probably do so we're going to
181. 6:30make this one continuous and that would
182. 6:32be the answer to this if you're doing
183. 6:34this one in your homework
184. 6:37because it's not reported as fractions
185. 6:39and decimals but it
186. 6:40can be recorded as fractions and
187. 6:44decimals
188. 6:45now body temperature obviously is
189. 6:47fractions and decimals so that would be
190. 6:49continuous for sure and that's easier to
191. 6:51see
192. 6:52so this one i threw this one in here
193. 6:54because it's a little bit vague
194. 6:56they want you to put continuous for this
195. 6:58because the temperature
196. 6:59could be written as fractions and
197. 7:02decimals