Assignment #4 | Logan, Jordan D
Page: 131
1. First angle system
12. First thread dimension -20UNC-1B
2. SI metric system
= Outside thread diameter. 20 UNC= 20 threads
3a. +0.4 mm b.+0.02 in
per inch. 2B = internal threads and 2nd class of fit
4. 346.08 mm
Assignment #6 147 149 153 154 | Jordan Logan
Pages: 147
1. cutting plane line
15. 2.06 in
2. cutting plane and is used to obtain sectional view 16. 1.00 in
3. revolved and removed section
17. 2.44 in
4. .375in height .16 in deep
18. Hatching is only in on
Assignment #7 p. 169 | Jordan Logan
Page: 169
1. a. 4.25 in b. 3.25 in
2. 2 - 20 UNF 2A
2- 2in for diameter thread 20= 20 threads per in UNF= United Fined Thread series 2A= second
class fit external threading
3. A= primary datum C= tertary datum M= materi
Assignment #3 Pgs. 75,79,83,93,105 | Logan, Jordan D
Pg: 75
1. Lef
14. 2.12 in
2. Top
15. 2
3. Front
16. 1 in
4. Hidden
17. 1.75 in
5. F
18. 3.54 in
6. Object
19. 4x.188
7. L
20. V0.44x60o
8. Center
21. 1 in
9. O
22. 2.88 in
10. Extension
23. 1.26 in
11.
Assignment #1.pages 9,14,17,20,21 | Logan, Jordan D
Page:9
1. No details, Dimensions.
2. All information about an object is furnished to everyone globally.
3. a. ANSI
b. ISO
4. a. Lines
b. Dimensions
c. Sections
5. Lines can be fuzzy or distorted.
6. a. D
This is a picture of the Seminary building
located at the downtown location of Jefferson
Community Technical College. The seminary
building has the same style as the gothic style.
Specific architectural elements that the
seminary building has that gothic
Assignment #2 p 33,35,43,47,51,57 | Logan, Jordan D
Page: 33
1. 4
11. G
2. Cast iron
12. P
3. 4-57
13. K
4. 2.75 in
14. N
5. 1.50 in
15. E
6. 1.63 in
16. C
7. 1.25 in
17. Object line
8. .38 in
18. Dimension line
9. H
19. Q
10. Top, front, right side view
Nominal Measure
Example of nominal measurement could be eye color, hair color and occupation. These valus
cannot be placed into an order.
What is color are your eyes? Blue, Green, Brown
What race do you identify with? Caucasian, African American, Hispanic
In the journal, provide the name for each type and provide an example of that sampling. Describe the
situations where you think each type might be best used and what, if any, shortcomings it may
have. When you are reading to write in your journal, follow
Religion: Key Issue 3
Why Do Religions Organize Space in Distinctive Patterns?
Rubenstein, pp. 207-212
1. In what two ways do religious structures often stand out in a landscape?
PLACES OF WORSHIP
2. For what two reasons does a church, the physical struc
Lorenzos Oil
4) In the movie Lorenzos oil, the disease Lorenzo is diagnosed with, ALD,
causes the myelin to be stripped or eroded. This, along with Lorenzos inability to
metabolize fatty acids, leads to the worsening of his condition. Later in the movie,
Existentialist
(Movies, art, songs people, and
poetry)
Sydney&Aliyah
Space Oddity, David Bowie
https:/www.youtube.com/watch?v=9_M3uw29U1U
Space Oddity is a story telling of an astronaut who has lost
all contact with earth. He is completely alone and the
The Forgetting Pill
Jonah Lehrer
Wired
September 2010, pg.86
Sydney Novak
p.1
The Forgetting Pill by Jonah Lehrer, describes the scientific breakthrough of a method to forget
bad memories. This article describes how Karim Nadar, a young neuroscientist dis
Visual Arts in the
70s
Photography, Film, Fashion, and Artwork
Photography as a Visual Art
Richard Avedons Photography
Lead Cameraman for Harpers Bazaar and Vogue
Famously photographs Marilyn Monroe and Twiggy
Ernest Cole captures historical & cultura
Sydney Novak 1
Mr. Witte
Pre AP LA 9
7 April 2014
Insanity
Police search Vigorously for Escaped Mental Hospital Patient read the front page of the
newspaper. The patients picture was below. He had an oddly shaped face and peculiar features;
long nose, cur
Existentialist
(Movies, art, songs people, and poetry)
Sydney&Aliyah
Space Oddity, David Bowie
https:/www.youtube.com/watch?v=9_M3uw29U1U
Space Oddity is a story telling of an astronaut who has lost
all contact with earth. He is completely alone and the
STA 220
Section 3.3 - Measures of Variation
Variation - the amount that the data values vary among themselves.
How spread out is the data?
Examgle: A testing lab wishes to test two experimental brands of outdoor paint to see
how long each will last before
STA 220
Section 2-4
Graphs That Enlighten and Graphs that Deceive
Graphs that Enlighten:
Scatterplots:
Sometimes we have data that are paired in a way that matches each value from one
data set with a corresponding value for a second data set. A scatterplo
STA 220
Section 4.2-Probability
Definitions:
Probability That likelihood that an event will occur.
Rare Event Rule for Inferential Statistics
If, under a given assumption (such as a lottery being fair), the probability of a
particular observed event (such
STA 220
Section 3.2 - Measures of Center
A measure of center is a value at the middle of a data set.
Mean: The arithmetic mean of a list of values is obtained by adding the values
and dividing by the number of values.
Example: Researchers conducted a stu
STA 220
Section 3.4 Measures of Relative Standing and Boxplots
In this section we will look at a data values position in the data set relative to all the
other values in the set.
The z score, or standardized value, is the number of standard deviations th
STA 220 Section 1-3
Types of Data
Parameter/Statistic
A parameter is a numerical measurement describing some characteristic of a population.
Population Parameter
Example:
The average (mean) GPA of all JCTC students is 2.465
A statistic is a numerical meas
STA 220
Section 2.2 Frequency Distributions
In Chapter 2, we will look at the branch of statistics called descriptive statistics. With
descriptive statistics, we summarize or describe the important characteristics of a
known set of data. Later in the seme
STA 220
Section 1-4: Collecting Sample Data
v if sample data are not collected in an appropriate way, the data may be
completely useless.
- Randomness typically plays a crucial role in determining which data to collect.
Basics of Collecting Data
In an obs
STA 220 Sections 1-1 and 1-2
Preview/Statistical and Critical Thinking
Some terms:
> Data are collections of observations, such as measurements, genders, or survey responses.
(A single data value is called a datum, a term that does not see very much use.)
STA 220
Section 2.3 Histograms
A histogram is a graph consisting of bars of equal width drawn adjacent to each other
(unless there are gaps in the data). The horizontal scale represents classes of
quantitative data values and the vertical scale represents