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 what year in college the student: Senior, Junior,
Sopho

Stats Homework 1.
Szu chen lee 604438589
1.34: controlled experiments
1.44: a) A confounding variable is age. As people get older, it gets harder to lose weight. This will
affect the results on the relationship between meats and weight loss.
b) A better w

Stats 10 Homework 4 Szu Chen Lee 604438589
4.68
a) positive. It means that that as the independent variable increases, the dependent variable
increases as well. There is a positive trend between the X and Y.
b) r= 0.8769
c) the slope is 11.30; there are 1

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
Visits
Gained
Categorical
Gender
Premie
LowBirthWeight
Ma

Lab2
204487746
JunxiangKennethZhou
Question1:
Theabovescatterplotdepictsarelationshipbetweenat_batsandruns,withat_batsasthe
predictorvariableandrunsastheresponsevariable. Ascanbeseenfromthescatterplot
above, the relationship between at_bats and runs is mo

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 percentages appear to
be sample statistics (derived from

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 farthest from the mean compared to
Group B. Therefore, it has

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 can be seen from the scatter plot
above, the relationshi

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 least square lines
4. Interpret residual plots
Scatter Diag

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
Visits
Gained
Categorical
Gender
Premie
LowBirthWeight
Ma

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 people that had a great deal of
confidence or quite a

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>1) plus P(Z<1) must equal 1.
A2: P(-2 < Z < 2)= 0.95. P

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 larger in terms of
population size and area wise which

/ 151A-STATS10-1 / Week 4 / Quiz 3: Due Monday, July 20, 2015 @ 8:00 AM
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home
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Monday, July 20, 2015, 3:40 AM
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Monday, July 20, 2015, 3:53 AM
12 mins 52 secs
10.00 ou

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 birthweight distribution. The mean
baby birthweight for nonsmoki

/ 151A-STATS10-1 / Week 6 / Quiz 5 Due Monday July 27, 2015 @ 8:00 AM
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Monday, July 27, 2015, 1:27 AM
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Monday, July 27, 2

7/30/2015
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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Lab 3!
Junxiang Kenneth Zhou!
204487746!
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Question 1!
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According to the summary table above, the percentage of attempted baskets that are successful
is 43.6%. !
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Question 2!
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As can be seen from the

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 significantly larger percentage of the patients who rece

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. Organize quantitative data for
1. Discrete Data using
a) Fr

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 mutually exclusive are the number of times the trip to

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 significantly larger percentage of the patients who rece

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 hypothesis tests
An Analogy of A Hypothesis Testing Court Case

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 the figures at
the end of the exercises, match the his