MTH 125
Lab 1 Sampling Methods
Name _Jenna Weaver_
Others in your group:
Systematic Sampling
1. An annual meeting for computer programmers was held in a convention center. A
total of 1298 programmers were in attendance. On the last day of the presentation
MTH 125
Lab 6 Normal Distributions and Empirical Rule
Name: Shianne Fortner
For a certain law school, the entering students have an average LSAT score of about 700
with a standard deviation of about 40. The smoothed density histogram of the LSAT
scores ap
Min 10
max 26
Handspan
Handspan Cumulative Frequency Distribution Table
Class Limits Class Boundaries
Tally
Frequency Less Than Cumulative Frequencey
1114
10.514.5

2
10.5
0
1518
14.518.5
 
8
14.5
2
1922
18.522.5
 
10
18.5
10
2326
22.526.5

For the survey questions, I decided that pie charts would be a simple and easy to read
graph choice. With only two class options for each questions, the pie chart will be free
of clutter and represent the data well. I did not have to omit or alter any
Height and Handspan Scatter Plot
Height Data
Height Data
182
163
187
Height Frequency Distribution Table
170
Class Limits Class Boundaries
Tally
Frequency
167
145149
144.5149.5
0
167
150154
149.5154.5

1
167
155159
154.5159.5

1
185
160164
159.5
Min 10
max 26
Handspan
Handspan Cumulative Frequency Distribution Table
Class Limits Class Boundaries
Tally
Frequency Less Than Cumulative Frequencey
1114
10.514.5

2
10.5
0
1518
14.518.5
 
8
14.5
2
1922
18.522.5
 
10
18.5
10
2326
22.526.5

Handspan
Data (cm)
11
20
22
15
18
16
23
26
21
10
16
18
20
19
20
25
17
19
19
18
20
15
21
Min 10
max 26
Handspan
Handspan Cumulative Frequency Distribution Table
Class Limits Class Boundaries
Tally
Frequency Less Than Cumulative Frequencey
1114
10.514.5

Height and Handspan Scatter Plot
Height Data
Height Data
182
163
187
Height Frequency Distribution Table
Class Limits Class Boundaries
Tally
Frequency
170
145149
144.5149.5
0
167
150154
149.5154.5

1
167
155159
154.5159.5

1
167
160164
159.5164.
Math 125
Lab 2 Data Collection
Name _
1. You will use the data attached to this lab.
2. Make a frequency distribution for each variable. You will have 8 separate
frequency distributions.
3. Decide which type of graph would best represent each variable.
4.