Section 4.5 Hypothesis Testing via Confidence Intervals
Bootstrap Distribution
Randomization Distribution
Our best guess at the distribution of sample
statistics
Our best guess at the distribution of sample
statistics, if 0 were true
Centered around the o
Section 3.3 Bootstrap Confidence Intervals
Problem: In practice, only one sample is taken. So how do we obtain a sampling
distribution?
Solution: _ can be used to simulate a sampling distribution.
Garbage Weight Example: The weight of discarded garbage fo
Section 2.6 Linear Regression
Example: evening temperature (y) vs. cricket chirps per minute (x)
A regression line is
A straight line that best fits the data in the scatterplot
The general form for the equation of a regression line:
^
Y= a+bx
A= intercept
Section 2.5 Scatterplots and Correlation
A scatterplot is
The graph of the relationship between two quantitative variables
Example: GPA (y) vs. Number of Hours Spent Studying Per Week (x)
Direction of Association
There is a positive association between t
STA 296: Statistical Methods and Motivations
Week 9 Pre-Class Activities, Spring 2017
Submission: Upload and submit your solutions on Canvas before the deadline for your
section. Make sure the document you upload has file extension .doc, .docx, or .pdf.
S
Section 3.1 Sampling Distributions
From Chapter 1: _Statistical_ _Inference_ is the
process of drawing conclusions about the entire population based on
information in a sample.
A parameter is
A number that describes some aspect of the population
A statist
STA 296: Statistical Methods and Motivations
Week 10 Pre-Class Activities, Spring 2017
Submission: Upload and submit your solutions on Canvas before the deadline for your
section. Make sure the document you upload has file extension .doc, .docx, or .pdf.
STA 296: Statistical Methods and Motivations
Week 1 Pre-Class Activities, Spring 2017
Submission: Upload and submit your solutions on Canvas before the deadline for your
section. For this week, it is not necessary to take a picture of the workbook pages (
Solutions to the STA 210 Review Questions for Exam #1
This review does not cover all of the material on the exam. Questions on the exam will
come from the material covered in the first three sections of notes (I. A., I. B., and I. C.).
1. If you are summa
Sta296
Section 3.2
Understanding and Interpreting Confidence Intervals
An Interval estimate gives a range of plausible values for a population parameter
One common form for an interval estimate is statistic +/- margin of error
-where the margin of error r
Mata pelajaran
Tarikh
Kelas
Nilai
Tajuk
Masa
Standard pembelajaran
Penakulan moral
Perasaan moral
Perlakuan moral
AKTIVITI PENGAJARAN DAN PEMBELAJARAN
SET INDUKSI
AKTIVITI
PENUTUP
EMK
BAHAN BANTU MENGAJAR
PENILAIAN PnP
REFLEKSI
Pendidikan moral
Unit 1: ke
Rob Fisher
STA 296
Project
Q1:
Q2: Is it categorical or quantitative: Quantitative
The explanatory variable: Speed
The response variable: Distance
Q3:
Where Bo is the estimate of intercept, and B1 is the estimate of slope.
Q4:
Call:
lm(formula = dist ~ sp
Joseph Harris
Professor Koebcke
STA 210 Section 023
09/26/15
My topic is about a students college life. I asked three questions on my survey; (1) Do
you miss high school. (This question is a YES or NO response. (2) On a scale of 1-10 with 1
being the leas
Peter Salsich
Section 9
Table 10
Beyond the Numbers 3.27
1) It is the most simple
2) Step 1: set type 1 error rates, Step 2: compute standard score, Score 3: look up p-value, Score 4:
make your decision
3) -2.2076
4) 0.0116, rejected because it is less th
Peter Salsich
Section 9
Table 10
BtN 2.6
Exhibit 1
1. Random as a noun or random meaning odd. I use it to describe things that happen but dont
really make sense.
Exhibit 2
1. DMRM RMRW RWDW
DMRW RMDW
DMDW
2. 1 out of 6
3. 1 out of 3
Exhibit 3
1. The popul
Peter Salsich
Section 9
Table 10
BtN 2.14
1. (51.3, 54.7)
2. The statement could be changed to a majority of the Americans asked
3. No because you can only be 95% confident that it would fit within the margin of error that is
above 50%
4. Families are mor
Peter Salsich
Section 9
Table 10
BtN 2.21
Exhibit 1
1. Area of board = 1,152 in
Area of hole = 18.84 in
18.84/1,152 = .016 = 16% chance that you would hit the hole
Exhibit 2
1. Board A because the hole is larger and therefor I have a better chance of hitt
Peter Salsich
Section 9
Table 10
Beyond the Numbers 1.25
1.
2.
3.
4.
5.
How much sleep someone gets and how tired they are in the morning
How much someone likes a food and how much they eat it
Bar chart
Males vs. females time spent on homework, males vs.
Peter Salsich
Section 9
Table 10
BtN 2.22 Exhibit 1
1.
2.
3.
4.
81.5%
13.5%
2.35%
I study about 10 hours a week on average, which is 2 standard deviations below the mean.
Peter Salsich
Section 9
Table 10
Beyond the Numbers 3.13
1. When results from a hypothesis test suggest that HA is true when in fact HO is.
2. To test how likely a hypothesis is to be correct.
3. A false positive, called alpha level, is typically taken to
Peter Salsich
Section 9
Table 10
Beyond the Numbers 3.21
1. Practical significance is the difference large enough for people to car clinically. Statistical
significance is too large to be chance.
2. 8% fewer cancers in treatment
3. 171 lbs, down 5%
4. It
Peter Salsich
Section 9
Table 10
BtN 2.26
Exhibit 1
1. Sampling variability
2. 50% women
3. Some people might be embarrassed to admit this so they would not reply honestly
Exhibit 2
1. The previous semester survey seems to include every kid in the school,
Peter Salsich
Section 9
Table 10
Beyond the Numbers 1.6
Ex. 1
1. The figure is wrong. 300,000 copies per hour divided by 60 minutes equals 5,000 copies per
minutes, not 50,000.
Ex. 2
1. The letter writer seems incorrect in claiming that the cases of domes
Peter Salsich
Section 9
Table 10
BtN 2.13
1. Sampling variability is a measure of how much the results of a different sample in a study would
be different.
2. Sampling distribution shows all possible results for a statistic in every possible sample and ho
Peter Salsich
Section 9
Table 10
Beyond the Numbers 1.14
1. That online courses are just as effective.
2. There were more students in the in-person class than online so they had a larger sample size.
Also it is easier to cheat on online classes.
3. The ar
Peter Salsich
Section 9
Table 10
Beyond the Numbers 1.31
1.
2.
3.
4.
5.
Human inference point compounding
There was a positive correlation between the two.
The evidence found is cause/effect compared to correlation evidence.
Eating junk food makes you sad
Peter Salsich
Section 9
Table 10
BtN 2.25
1. Non-sampling errors
2. A non-sampling error is an error not caused by an error in sampling.
3. It assumes already that those answering have been unfaithful to their wife, so people who have
not cheated on their
Vocabulary for 10 Benchmark Statistics (Beyond the Numbers 1.4). Find, create, and access Statistics and Probability, Benchmarks, flashcards with Course Hero.
STA Courses with Advice
Showing 1 to {[ numOfCoursesWithAdviceToShow ]} of {[ totalNumCoursesWithAdvice ]}