STT 351
Fall 2016 PROBABILITY AND STATISTICS FOR :NG. X. Yang
1
Exam 3 : November 30th
Name : PID:
Instruction: unifunctional calculator is allowed, unjustied answers will not be graded.
Problem 1. (20 pt) Let X denote the proportion of allotted time
STT 351
Fall 2016 PROBABILITY AND STATESTICS FOR ENG. X. Yang
Exam 2 : November 2nd.
50 min. Uni~functionel calculator is allowed. Unjustied answers will not be graded.
Name : Section:
Problem 1. (20 pt) Let X denote the amount of time at book 011 two-h
40M.
STT 351 Section 5
Fall 2016 PROBABILITY AND STATISTICS FOR. ENG. X. Y.
Exam 1
September 28th
Duration : 50 min.
Problem 1._ (-16 points) Given a data set of height (meter) of 5 kids
D = cfw_1.1,1.2,1.3,1.0,1.1
0 Find the sample mean
' 5:
"F i 1. . li
ASSIGNMENT 4
Sec
Sec
Sec
Sec
7.3: 32, 38
7.4: 44
8.1: 2(b,e,g), 6, 12
8.2 30
The due date is Friday, November 18 (in class). No late copy will be
accepted.
Please include details in your answer to these problems.
Date: November 9, 2016.
1
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STT-200
Fall 2016
LECTURE 21:
Confidence Intervals.
BRIEF REVIEW of LECTURE 20:
Q: In which cases t-Distribution is used?
A: when the population standard deviation is unknown
and the distribution of the population is normal
Q: In which cases t-Distributio
STT-200
Fall 2016
LECTURE 22:
Confidence Intervals,
Sample Size Determination.
BRIEF REVIEW of LECTURE 21:
Q: What is a Confidence Interval?
A: its a range that is believed to include an unknown
population parameter
Q: Does a Confidence Interval always in
STT-200
Fall 2016
LECTURE 23:
Testing Hypothesis.
Hypothesis.
Hypothesis is an assertion about one or more unknown
Population Parameters.
EXAMPLE: Population Mean, Population Proportion, etc.
The main goal in many research studies is to check
whether the
STT-200
Fall 2016
RECITATION 9:
Sampling Distributions,
Confidence Intervals.
PROBLEM 1:
Average weekly family expenditure on the entertainment
for
a Population in a given region is $25. Assume Normally
Distributed Population. If a random sample of 22 fam
Random Variable- numerical variable whose values are associated with outcomes of a random experiment (one and only
one value is assigned to each sample point)
Discrete- assumes a countable number of values (finite many, or countably infinitely values)
Has
Statistics- scientific study of data (which is the observed information or fact form, datum: ex- tall or short)
o Want to collect data, organize/summarize/present, find patterns/specific features in data, analysis/interpret, make inferences
o Descriptive
Parameter- measure of a population (, , p) (usually unknown, always fixed)
Sample statistic- measure of a sample (xx , s, pp ) (depends on sample, variable)
Population distribution vs. sampling distribution
Variable of interest- the measure that we take ,
Homework 2
birth_data <- read.csv("http:/blue.for.msu.edu/STT301/data/BirthData.csv",
header = TRUE)
library(ggplot2)
library(dplyr)
Attaching package: 'dplyr'
The following objects are masked from 'package:stats':
filter, lag
The following objects are ma
Here is my code to generate several maps that show crime types. I think both blue and red
seems good in the maps, maybe we will use more colors in our final map (with several layers).
In addition, please check my code since I can not knit HTML on my deskt
GTFS Feed
Transitland Global GTFS Feed Registry
TransitFeeds Public GTFS Feed Archive
Google Publicly Available GTFS Feed Archive
Detroit Specific Transportation Data
Data Driven Detroit
Data.detroit.gov
*Detroit DDOT GTFS
Weekly Boarding
Crime Data
https
Homework 3 Grading
Andrew Finley
October 26, 2016
A large part of the homework grade on this assignment will depend on whether your functions get the
correct answers in the test cases. You can determine this by inserting your functions in the code chunks
STT 200 - STATISTICAL METHODS
LECTURE 002
HOMEWORK ASSIGNMENT NUMBER 4
DUE DATE: MONDAY NOVEMBER 28, 2016
Scantrons for Homework Assignment Number 4 will be passed out during the
class meeting of Wednesday November 23, 2016.
Each questian in this assignme
Final Examination Practice Exercises Sheet 11
STT 200 . STATISTICAL METHODS
Lecture 2
FALL 2016
PART I:
0 Confidence Intervals For One Sample Proportions
a Condence Intervals For The Difference Between Two Sample Proportions
1. A pollster Wishes to estima
Final Examination Practice Sheet 1
STT 200 _. STATISTICAL METHODS
Lecture 2
FALL 2016
o Exercises on Sampling Distribution for One Sample Proportion
QUESTIONS 1 _ 2
Information on a packet of seeds claims that the germination rate is 84%. The packet conta
STT 315
Graded HW #4
(13 pts, Due Oct 25 at Start of Recitation; Late submissions will be penalized. Show your work.)
Name _ PID _ Section _
These problems are based on concepts covered in lecture, Chapter 4: Sections 10, 11 and Chapter 5: Sections 1 thru
STT-200
2016
Fall
LECTURE 16:
Continuous Random Variables.
BRIEF REVIEW:
Q: What is a Random Variable?
A: its an uncertain quantity whose values depend on
chance. In other words the value taken by a random
variable depend on the outcome of a event
Q: What
STT-200
2016
Fall
LECTURE 12:
Discrete Random Variables,
Probability Models.
REVIEW of LECTURE 11:
Q: How do we find Expected Value of Discrete Random
Variable?
A: we multiply each one of its values by the
corresponding probabilities and add them all up
Q
Table Z
Areas under the
standard Normal curve
Second decimal place in z
0.09 0.08 0.07 0.06 0.05 0.04 0.03 0.02 0.01 0.00 2
0.00001 3.9
0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 0.0001 3.8
0.0001 0.0001 0.0001 0.0001 0.0001 0.00
STT-200
Fall 2016
LECTURE 17:
Continuous Random Variables.
REVIEW of LECTURE 16:
Q: What is a Continuous Random Variable?
A: its a random variable that can take on any value in
the interval of numbers
Q: What are the properties of a Probability Density
Fu
Stats
Stats Lecture 1
People are always taking data on us
People make mistakes using statistics due to many things
o Change of information
o Not all info gathered was used
o Misinterpretation of the results
To agree with previously conducted studies
To