Guided Exercise 2 Describing Student Survey Data
Varun Sharat
Question 1:
I picked the first student from table 1 whose identification number (ID) was 1.
The second column, Year, represents currently
Stats homework #2 Szu Chen Lee 604438589
3.16
Group A would have the larger standard deviation because of the high frequency of data points
not close to the center. There are more observations farthes
Lab 2
204487746
Junxiang Kenneth Zhou
Question 1:
The above scatter plot depicts a relationship between at_bats and runs, with at_bats as the
predictor variable and runs as the response variable. As c
Chapters 4
Describing the Relation Between Two Variables
Learning Objectives
1. Construct and interpret scatter diagrams
2. Compute and interpret correlation coefficients
3. Compute and interpret leas
Lab 1
204487746
Junxiang Kenneth Zhou
Question 1:
The unit of observation is the birth of the baby.
Number of variables recorded: 23
Numerical
Weeks
Birthweight
Apgar1
Fage
Mage
Feduc
Meduc
TotPreg
Vi
Stats Homework 7; Szu Chen Lee 604438589
7.54
a. (0.73, 0.77). By using the kind of survey we used to estimate this percentage, there is a 95%
chance that we are correct when we say that the number of
Stats 10 Homework 6
Szu Chen Lee 604438589
A1: P(Z>1)= 0.32 because 1- (P(Z<1)= 0.32. The probability of z less than 1 is 0.68 which means
that the probability of z greater than 1 is 0.32 because P(Z>
HW 3 Stats 10
Szu Chen Lee 604438589
1.30
We cannot conclude pedestrians are safer in Hillsborough weekend because we do not know
the population of each county. Miami Dade county can be exponentially
/ 151A-STATS10-1 / Week 4 / Quiz 3: Due Monday, July 20, 2015 @ 8:00 AM
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Arman Sharif | UID: 404-406-853
Kim | Dis. 2B
Lab 5: Compared to What?
1. The distributions appear unimodal and have positive skews, with a slightly
stronger skew evident in the smokers baby birthweig
/ 151A-STATS10-1 / Week 6 / Quiz 5 Due Monday July 27, 2015 @ 8:00 AM
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Quiz 6 Thursday July 30, 2015 @ 10:00 am
/ 151A-STATS10-1 / Week 6 / Quiz 6 Thursday July 30, 2015 @ 10:00 am
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Stats 10 Lab2 Szu Chen Lee 604438589
1. The graph predicts that the more at bats a team has, the more runs it will score. There is a
moderately linear trend shown from the increase of runs due to the
MIDTERM ONE BEDDO
STATISTICS 10 SPRING 2003
NAME: Egan iamin 3"me
SECTION: Thurs : Sam -3 :10
INSTRUCTIONS:
YOU MUST SHOW YOUR WORK FOR FULL CREDIT. PLEASE CIRCLE YOUR
FINAL ANSWER.
GOOD LUCK!
m IQ sc
Stats hw 3
Andrew Leonard, ID: 004480492. Section 3D, TA: Qian Xiaq.
Chapter 3
3.16. Group B, because the majority of the data is clustered around the center,
meaning less variation.
3.30. a. 95% of
Stats Lab 3
Andrew Leonard, ID: 004480492. Section 3D, TA: Qian Xiaq.
1. 44% of attempted baskets are successful.
2. A typical streak was 0 or maybe 1. The shape is unimodal and skewed right, and the
Stats Ch 2 hw
Andrew Leonard, ID: 004480492. Section 3D, TA: Qian Xiaq.
ch. 1 1.54: No. From an observational study, no results of causation can be drawn.
1.59: a. Treatment variable: medicaid. Resp
Phoebe Siew Lin Tan
Professor Vivian Lew
TA Peng Jun Huang, 1A
Statistics 10
2 June 2015
Lab 5: Inference for Categorical Data
1. In the first paragraph, several key findings are reported. Do these pe
Chapter Three
Organizing and Summarizing Data
Learning Objectives:
1. Organize qualitative data using
a) Frequency and relative frequency table,
b) Bar graph,
c) Pie graph and
d) Pareto graph.
2. Orga
Stats 10 Homework 5
Szu Chen Lee 604438589
A1.
A) .074
B) .04
C) .011
A2. 8:30 am
A3. 120/259= 46%
A4. 42/120= 35%
A5. A statistic is that there is a total of 259 trips recorded.
A6. 2 events that are
Lab 4
Junxiang Kenneth Zhou
204487746
DIS 1C
Question 1
According to the ribbon chart above, it seems like treatment and outcome are dependent. Compared to
the patients who received only bed rest, a s
Chapters 8
Objectives:
1.
Check Assumption/Conditions
2.
Use the right Model/Test
3.
Determine the null and alternative
hypotheses
4.
Explain Type I and Type II errors
5.
State conclusions to hypothes
Phoebe Siew Lin Tan
Professor Vivian Lew
TA Peng Jun Huang, 1A
Stats 10
14 April 2015
Lab 2: Normal Distribution
1. Now lets consider some of the other variables in the body dimensions data set. Using
Phoebe Siew Lin Tan
Professor Vivian Lew
TA Peng Jun Huang, 1A
Stats 10
13 April 2015
Lab 1: Descriptive Statistics from Survey Data
1. "STATE" - categorical regular
"MONTH" - categorical ordinal
"GEN
Phoebe Siew Lin Tan
Professor Vivian Lew
TA Peng Jun Huang, 1A
Statistics 10
19 May 2015
Lab 4: Inference for Numerical Data
1. What are the cases in this data set? How many cases are there in our sam
Phoebe Siew Lin Tan
Professor Vivian Lew
TA Peng Jun Huang, 1A
Statistics 10
8 June 2015
Lab 6: Introduction to Linear Regression
1. What type of plot would you use to display the relationship between
Chapter 7: Sampling Distribution Models
Sampling distribution of the proportions:
A sampling distribution model for how a sample proportion varies from sample
to sample allows us to quantify that va
Chapters Five and Six
Numerically Summarizing Data
Learning Objectives
1 Describe and compute measures of dispersion
2. Compute measures of location
3. Measures of Dispersion (Spread)
4. Learn to read