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2020-2021 SLA- Math 215 - Shared screen with speaker view
Breanna Held
13:20
Hello!
hairston
13:34
hello
Nidhi Goyal
13:53
hello
Brian Mason
14:23
hello
Julius Ngwa
18:22
Hello Everyone
Julius Ngwa
18:49
Mute Microphones
Janeesha Harcourt
19:15
none here
hairston
19:15
no
Brian Mason
19:19
no
Breanna Held
19:25
no
Julius Ngwa
19:43
Math 215: Somewhat Straightforward
Julius Ngwa
19:53
Challenge: Volume of Material
Julius Ngwa
20:25
Keep Track of the Material: Summary for Each Chapter
Julius Ngwa
20:34
Formulas Required
Julius Ngwa
23:29
Collect The Data
Julius Ngwa
23:32
Analyze the Data
Julius Ngwa
23:41
Draw Inference about the Data
Julius Ngwa
25:40
Population: US Citizens
Julius Ngwa
25:51
Tylenol
Julius Ngwa
25:55
Effective Treatment
Julius Ngwa
26:41
Goal: The Sample should be a good representation of the Population
Julius Ngwa
27:21
Sample as oppose to population
Julius Ngwa
27:23
1) Cost
Julius Ngwa
27:34
2) Time and Logistics
Julius Ngwa
31:17
57% was based on the entire Population of ALL the Teachers
Julius Ngwa
31:24
Parameter = 57%
Julius Ngwa
31:26
Result
Julius Ngwa
31:40
Sample of 100 Patients
Julius Ngwa
32:08
Result 78% Statistic because it's based on the Sample
Julius Ngwa
33:19
Statistic should be close to the Parameter
Julius Ngwa
34:02
Statistic is not a good representation of the Parameter
Julius Ngwa
34:08
Introduced Bias
Julius Ngwa
34:44
How do we select a Sample
Julius Ngwa
36:05
Coin Toss
Julius Ngwa
36:19
Everyone has an equal chance of being selected
Julius Ngwa
37:43
Size of Population (N = 10)
Julius Ngwa
37:53
Subset Sample (n = 5)(
Julius Ngwa
38:10
Generate Random Numbers
Julius Ngwa
38:33
Selection Proces
Julius Ngwa
38:50
=RANDBETWEEN
Julius Ngwa
38:53
=RAND
Julius Ngwa
40:04
Top 5 Students would selected as my sample
Julius Ngwa
40:28
Large Database: All the Residents of Ohio (n 5 Million)
Julius Ngwa
40:43
Select a Subset of 10,000 Residents
Julius Ngwa
40:56
Select your Sample
Julius Ngwa
41:09
Each Resident in Ohio would have an equal chance of being selected
Julius Ngwa
41:26
Avoid any Bias in the Selection Process
Julius Ngwa
41:47
Simple Random Sample Process
hairston
42:00
no
Aimee
42:14
That makes sense!
Nidhi Goyal
42:30
how can we select random persons? with same command?
Julius Ngwa
43:21
Seed
Julius Ngwa
43:36
Seed = 20
Julius Ngwa
43:49
Will always be the same
Julius Ngwa
44:16
Replicate your Study
Julius Ngwa
44:20
Same Seed
Julius Ngwa
44:27
Different participants
Nidhi Goyal
44:44
ok, Thank you !
Julius Ngwa
45:03
Same Seed
Julius Ngwa
45:21
Factory
Julius Ngwa
45:34
Cars that are Defective
Julius Ngwa
45:37
Assembly Line
Julius Ngwa
46:14
Subset of Cars to Verify if those cars are defective
Julius Ngwa
46:28
intervals of 10
Julius Ngwa
47:10
Sample from the entire population
hairston
47:25
question
Julius Ngwa
49:32
Easy to Get
Julius Ngwa
49:41
Friends for the Study
Julius Ngwa
49:46
Family Members
Julius Ngwa
49:57
Spread of a Virus
Julius Ngwa
50:10
Infected Participants
Julius Ngwa
50:40
Introducing Bias
Julius Ngwa
53:30
Each Group should be represented in the Sample
Julius Ngwa
53:55
% in the Entire Population: Mimic in the Selection Process
Julius Ngwa
55:49
All the Residents in those Zipcodes
Julius Ngwa
56:01
Not all the Zipcodes are represented
Julius Ngwa
56:20
Once a group is selected then everyone in those groups would be used for the analysis
Julius Ngwa
56:38
Cluster Sampling
Julius Ngwa
59:11
Each member of those families selected were used in the Study
Julius Ngwa
59:19
Selecting the Sample for the Study
Julius Ngwa
01:04:33
Experiment to Test a New Drug
Julius Ngwa
01:06:18
Total of 200 People
Julius Ngwa
01:06:33
Randomly assigned to take Tylenol or Placebo
Julius Ngwa
01:07:06
Tylenol is effective
Julius Ngwa
01:07:47
1) Treatment Groups: Tylenol vs Placebo
Julius Ngwa
01:08:27
Pain Relief
Julius Ngwa
01:08:48
2) Outcome of the Study
Julius Ngwa
01:09:03
3) Study Participants (n = 200)
Julius Ngwa
01:09:17
Subjects of the Study
Julius Ngwa
01:09:33
To assess the effectiveness of a new method for teaching arithmetic to elementary school children, a simple random sample of 30 first graders were taught with the new method, and another simple random sample of 30 first graders were taught with the currently used method. At the end of eight weeks, the children were given a test to assess their knowledge. What are the treatments in this study? Explain why this a randomized experiment.
Julius Ngwa
01:11:42
Randomized or Experimental Study
Julius Ngwa
01:11:50
1) Treatment Groups
Julius Ngwa
01:11:56
2) Participants of the Study
Julius Ngwa
01:12:00
3) Outcome of the Study
Julius Ngwa
01:13:21
Researcher has little or no control of the process
Julius Ngwa
01:13:52
Play pattern of Kids in a Kindergarden
Julius Ngwa
01:14:02
Patterns of Animals
Julius Ngwa
01:14:12
Collecting your Data
Julius Ngwa
01:15:05
Forward in TIme
Julius Ngwa
01:15:20
5 Years
Julius Ngwa
01:15:49
Decide what Data I want to Collect
Julius Ngwa
01:16:34
Snapshot of the Data
Julius Ngwa
01:16:49
Backwards in the Time
Julius Ngwa
01:17:25
Restricted to only the data that was collected in that period of Time
Julius Ngwa
01:18:04
Heart Disesase
Julius Ngwa
01:18:14
Hospital in the City of Columbus
Julius Ngwa
01:19:10
Strengths and their Weaknesses
Julius Ngwa
01:19:45
Disease = Cases
Julius Ngwa
01:19:53
Without the Disease = Controls
Durga Khatiwada
01:20:04
gn everyone I have to go to work
Julius Ngwa
01:21:39
First and Last Names for Attendance
eludaway
01:21:40
Erik Ludaway
Aimee
01:21:40
Aimee Sutton
Brian Mason
01:21:42
Brian Mason
Nidhi Goyal
01:21:42
Nidhi Goyal
Julius Ngwa
01:21:45
6 minutes Break
Breanna Held
01:21:51
Breanna Held
hairston
01:21:51
Inez Hairston
Janeesha Harcourt
01:22:01
Janeesha Harcourt
Julius Ngwa
01:29:39
Dataset
Julius Ngwa
01:31:22
Dataset or Dataframe
Julius Ngwa
01:31:43
1st Column: ID Column
Julius Ngwa
01:31:57
Names of Participants; IDs of the Participants
Julius Ngwa
01:32:13
De-identify the participants
Julius Ngwa
01:32:44
Variables in the Study
Julius Ngwa
01:33:06
Gender Age, BMI Levels of Educations: Variables in the Study
Julius Ngwa
01:33:14
Describe the Partiicipants in the Study
Julius Ngwa
01:33:40
Data points
Julius Ngwa
01:33:45
Variables in the Study
Julius Ngwa
01:33:49
ID Column
Julius Ngwa
01:34:09
Types of Variables in our Study:
Julius Ngwa
01:35:29
Age
Julius Ngwa
01:36:40
Discrete: Count
Julius Ngwa
01:36:46
Whole Numbers only
Julius Ngwa
01:37:10
Vehicles in a Parking Lot
Julius Ngwa
01:37:39
Height
Julius Ngwa
01:38:52
Size of Cans: Small Medium or Large
Julius Ngwa
01:38:55
Ordinal
Janeesha Harcourt
01:42:48
wouldn't small, med, lg be ordinal
Julius Ngwa
01:45:35
Summarize our Data
Julius Ngwa
01:45:42
Collected our Data
Julius Ngwa
01:45:51
Graphs we can use to Summarize our Data
Julius Ngwa
01:47:02
n = 50
Julius Ngwa
01:47:22
Tally the Data
Julius Ngwa
01:47:28
Frequency Distribution
Julius Ngwa
01:49:01
Pie-Chart
Julius Ngwa
01:52:04
Data was Collected
Julius Ngwa
01:52:12
Draw a Graph to Analyze the Data
Julius Ngwa
01:52:18
Make Inference about the Data
Janeesha Harcourt
01:52:35
no
Aimee
01:52:37
Nope!
hairston
01:52:43
good
Brian Mason
01:52:47
no
Nidhi Goyal
01:55:47
is there any difference between pie or bar chart?
Nidhi Goyal
01:55:57
or its usage?
Julius Ngwa
01:56:21
Circle with the Distribution of the Proportions
Julius Ngwa
01:56:35
Bar Graphs: Columns
Julius Ngwa
01:56:45
20 different Categories
hairston
01:56:52
question
Julius Ngwa
01:56:52
Pie Chart
Nidhi Goyal
01:57:54
ok, got it!
Nidhi Goyal
01:57:57
thank u
Julius Ngwa
01:58:54
In Millions
Julius Ngwa
01:59:07
Side-by-Side Bar Graph
Julius Ngwa
02:01:37
Yahoo was Flat
Julius Ngwa
02:01:42
MSN
Julius Ngwa
02:01:57
Facebook almost doubled
Julius Ngwa
02:02:13
Google had the most views for 2009 and 2010
Julius Ngwa
02:02:26
MSN + Yahoo combined was less than Google
Julius Ngwa
02:03:40
Dot Plot
Julius Ngwa
02:04:42
Min = 0
Julius Ngwa
02:04:50
Largest = 15
Julius Ngwa
02:04:55
Scale or Range
Julius Ngwa
02:05:19
Intervals of 1
Julius Ngwa
02:06:06
Make Inference based on the Dots
Julius Ngwa
02:06:18
Majority had 2 Children
Julius Ngwa
02:06:34
0 - 6 Bulk of the Data is
Julius Ngwa
02:06:43
Outliers
Julius Ngwa
02:06:56
15 Children Worth Noting
Julius Ngwa
02:07:20
Statements are Inferences about our Data or Conclusions
Julius Ngwa
02:07:43
1000 people
Julius Ngwa
02:07:53
Plot that Graphical
Julius Ngwa
02:08:12
Time Series Graph
Julius Ngwa
02:08:36
Indices for the Dow 2000 to 2009
Julius Ngwa
02:08:50
Different Years over Time (Time Series)
Julius Ngwa
02:09:51
Time Series to represent this Data
Julius Ngwa
02:13:08
Steep Decline
Julius Ngwa
02:13:31
Statements about the Data
eludaway
02:13:59
This was great! Thank you! GN
Aimee
02:13:59
Thank you so much - have a great week!
Janeesha Harcourt
02:14:01
Thank you
Brian Mason
02:14:05
Thank you
Breanna Held
02:14:08
Thank you
Nidhi Goyal
02:14:42
sorry my in between
Nidhi Goyal
02:15:30
is class done?
Nidhi Goyal
02:16:38
Thank you for class!
Julius Ngwa
02:20:15
sla@franklin.edu