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2020-2021 Workshop Room 1 - Shared screen with speaker view
Julius Ngwa
13:36
Syntax
Julius Ngwa
15:39
92.2%
Julius Ngwa
15:48
.922
Julius Ngwa
19:42
,023
Julius Ngwa
19:47
2.3%
Julius Ngwa
20:51
Invnorm: Given the % and told to find the Values
Julius Ngwa
21:18
IQ Scores of Students
Julius Ngwa
22:35
Given the %
Julius Ngwa
22:44
Told to find the Value Corresponding to that %
Julius Ngwa
22:51
Invnorm
Carol Powell
25:49
no questions
Julius Ngwa
28:07
Estimate = 50%
Julius Ngwa
28:20
Confidence Interval (47%, 53%)
Julius Ngwa
28:59
Confidence Interval
Julius Ngwa
29:07
Level of Confidence
Julius Ngwa
29:29
80%
Julius Ngwa
29:32
90%
Julius Ngwa
29:34
95%
Julius Ngwa
29:37
99%
Julius Ngwa
29:42
Level of Confidence
Julius Ngwa
30:48
Proportion of Students that will pass the Statistics Class
Julius Ngwa
31:24
X = 40
Julius Ngwa
31:27
n = 50
Julius Ngwa
31:34
C-level 95%
Julius Ngwa
32:13
I Prop Z Interval
Julius Ngwa
32:20
Prop = Proportion
Julius Ngwa
32:27
Interval = Confidence Interval
Julius Ngwa
35:29
Estimate = 80%
Julius Ngwa
35:48
(.689, .911)
Julius Ngwa
35:57
(68.9%, 91.1%)
Julius Ngwa
36:11
95% Confident
Julius Ngwa
36:22
Estimate
Julius Ngwa
36:51
Confidence Interval (Proportion)
Julius Ngwa
37:00
Confidence Interval (Mean)
Julius Ngwa
40:20
A simple random sample of 6 boxes is found to contain a sample mean of 20.25 ounces of cereal. It is known from past experience that the fill weights are normally distributed with a standard deviation of 0.2 ounce. Construct a 90% confidence interval for the mean fill weight.
Julius Ngwa
41:01
Dealing Mean
Julius Ngwa
41:12
Population Standard Deviation
Julius Ngwa
41:22
90% Confidence Interval
Carol Powell
43:51
no questions
Julius Ngwa
44:24
(20.12, 20.38)
Julius Ngwa
44:35
Confidence Interval for the Mean
Julius Ngwa
44:56
Zinterval - Population Standard Deviation
Julius Ngwa
45:10
Sample Standard Deviation - Tinterval
Julius Ngwa
46:03
A sample of 123 people aged 18โ€“22 reported the number of hours they spent on the Internet in an average week. The sample mean was 8.20 hours, with a sample standard deviation of 9.84 hours. Assume this is a simple random sample from the population of people aged 18โ€“22 in the U.S. Construct a 95% confidence interval for ยต, the population mean number of hours per week spent on the Internet by people aged 18โ€“22 in the U.S.
Julius Ngwa
49:40
(6.44, 9.96)
Julius Ngwa
50:10
Chi-Square
Julius Ngwa
50:43
Two Categorical Data
Julius Ngwa
50:56
Relationship is between these two categorial Data
Julius Ngwa
51:10
Chi-square Test to determine that relationship
Julius Ngwa
51:20
P-value and Test Statistic
Julius Ngwa
53:32
Count Data
Julius Ngwa
53:39
Gender vs. Smoking Statuss
Julius Ngwa
54:21
2 x 3 Table = 2 x 3 Matrix
Julius Ngwa
54:28
20 30 50
Julius Ngwa
54:33
10 20 70
Julius Ngwa
55:21
2nd X-1
Julius Ngwa
55:28
(MATRIX)
Julius Ngwa
55:37
Matrix
Julius Ngwa
55:51
Edit
Julius Ngwa
57:06
STAT
Julius Ngwa
57:14
TESTS
Julius Ngwa
57:23
X-square Test
Julius Ngwa
58:44
Test Statistics = 8.667
Julius Ngwa
58:52
p-value = .013
Julius Ngwa
58:59
Make Inference
Julius Ngwa
01:00:04
Scatter Diagram
Julius Ngwa
01:01:58
Relationship Between Size vs. Selling Price of the House
Julius Ngwa
01:05:49
2nd Y= (Top)
Julius Ngwa
01:05:55
STAT PLOT
Julius Ngwa
01:07:47
ZOOM
Julius Ngwa
01:07:52
ZOOM STAT
Julius Ngwa
01:09:37
Statistics you can perfomr
Julius Ngwa
01:09:42
Linear Regression Analysis
Julius Ngwa
01:09:54
Chapter 11: Linear Regression
Julius Ngwa
01:10:17
Linear Regression
Julius Ngwa
01:10:20
XList
Julius Ngwa
01:10:25
L1
Julius Ngwa
01:10:29
Ylists: L2
Julius Ngwa
01:10:39
STAT
Julius Ngwa
01:10:47
CALC
Julius Ngwa
01:10:59
4: Linear Regression
Julius Ngwa
01:11:44
intercept (a) = .099
Julius Ngwa
01:11:52
Slope (b) = 160.19
Julius Ngwa
01:12:29
r and r-square did not show
Julius Ngwa
01:12:44
Diagnostics are OFF
Julius Ngwa
01:13:27
2nd 0
Julius Ngwa
01:13:45
Catalog of your Calculator
Julius Ngwa
01:14:01
Diagnostics ON
Julius Ngwa
01:14:30
Done
Julius Ngwa
01:14:51
STAT
Julius Ngwa
01:15:02
CALC
Julius Ngwa
01:15:37
4 Values
Julius Ngwa
01:15:45
a intercept
Julius Ngwa
01:15:49
b slope
Julius Ngwa
01:16:02
r-square Coefficient of Determinaton
Julius Ngwa
01:16:08
r Correlation Coefficient
Julius Ngwa
01:16:16
Linear Regression
Julius Ngwa
01:16:25
Chapter 11
Julius Ngwa
01:17:14
STAT
Julius Ngwa
01:17:22
Press Edit
Julius Ngwa
01:17:35
STAT
Julius Ngwa
01:17:39
CALC
Julius Ngwa
01:17:47
1 VAR STAT
Julius Ngwa
01:17:59
LinReg(ax + b)
Julius Ngwa
01:18:40
TESTS
Julius Ngwa
01:19:13
Statistical Tests
Julius Ngwa
01:19:24
2nd VARS
Julius Ngwa
01:19:35
2nd Mode = Quit
Julius Ngwa
01:19:47
2nd VARS
Julius Ngwa
01:20:56
Matrix: Chi-square Tests
Julius Ngwa
01:21:23
Sense of Whats available
Julius Ngwa
01:21:30
Manually
Carol Powell
01:22:06
No questions, thanks
Julius Ngwa
01:22:40
https://www.surveymonkey.com/r/Advanced_TI_83_84_Stats_Part_2_FA20