Test 1 Version B
STAT 3090
Fall 2016
Multiple Choice: (Questions 1 - 20) Answer the following questions on the scantron provided using a #2 pencil.
Bubble the response that best answers the question. Each multiple choice correct response is worth 3 points
Test 1 Version B
STAT 3090
Fall 2016
Multiple Choice: (Questions 1 - 20) Answer the following questions on the scantron provided using a #2 pencil.
Bubble the response that best answers the question. Each multiple choice correct response is worth 3 points
Test 2 Version A
STAT 3090
Fall 2016
Multiple Choice: (Questions 1 - 20) Answer the following questions on the scantron provided using a #2 pencil.
Bubble the response that best answers the question. Each multiple choice correct response is worth 3 points
Appendix A Table A
" Standard Normal Distribution
Numerical entries represent the probability that a standard normal random variable
. x
15 between oo and z where z = ,o: .
or
z 0.09 0.03 0.07 0.06 0.05 0.04 0.03 0.02 0.01 0.00
3.4 0.0002 0.000
Chapter 10: Hypothesis Testing
Types of Error
Type I and Type II Errors
There are two possible decisions that can be made in hypothesis testing:
If the sample data are consistent with the null hypothesis, we "do not
reject H0" and state that there is no
STAT 3090 Spring 2017 Minitab/Excel Project 2
Directions: Answer the following questions using your own words. Please provide any output/screenshots from Minitab
or Excel as appropriate. This project is worth 20 points.
1. According to a well-known resear
STAT 3090 Spring 2017
POW 6
Quiz on:
This problem (either exactly or with slight variations) will be assigned to you on the date
above
You have until the date above to formulate an answer to the problem.
When the problem is assigned you may NOT use your n
Respondent
Owns 401(k)Type Plan
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
No
No
No
No
No
No
Yes
Yes
No
No
Yes
No
Yes
Yes
No
Yes
Yes
No
No
No
No
Yes
No
No
No
Yes
Yes
STAT 3090 Spring 2017
POW 5
Quiz on:
This problem (either exactly or with slight variations) will be assigned to you on the date above
You have until the date above to formulate an answer to the problem.
When the problem is assigned you may NOT use your n
STAT 3090 Spring 2017
Quiz on:
POW 4
This problem (either exactly or with slight variations) will be assigned to you on the date above
You have until the date above to formulate an answer to the problem.
When the problem is assigned you may NOT use your n
STAT 3090 Spring 2017
POW 2
Quiz on:
This problem (either exactly or with slight variations) will be assigned to you on the date above
You have until the date above to formulate an answer to the problem.
When the problem is assigned you may NOT use your n
Confidence Interval for Prop
Conditions for Estimating Population Proportion using Z-Interval
1. Is the sample from the population a random sample OR if an experiment are the treatments randomly assigned to individua
2. Is the distribution of p-hat approx
STAT 3090 Fall 2016 Minitab/Excel Project 2: JT Fleetwood, STAT 3090-24
Directions: Answer the following questions using your own words. Please provide any output/screenshots
from Minitab or Excel as appropriate. This project is worth 20 points.
1. It has
STAT 3090 - Minitab Project 3
JT Fleetwood- STAT 3090-24
Platinum Billiards, Inc. is a retailer of billiard supplies based in Jacksonville, FL. It stands out among billiard
suppliers because the research it does to assure its products are top-notch. One e
(STAT 3090) - Chapters 6 & 7 Fellers notes F 2014 (Oct 20, 2014)
CHAPTER 6
Pg 282: A random variable is the outcome of a random process.
Random variables can only assume one value at a time, and a chance
process always impacts the outcome. In business, ev
Chapter 5 Fellers Class Notes
(Pg 224, Sep 12, 2014)
Probability
Probability examples at this level are either obvious (like the probability of a flipped coin
turning-up heads) or not so obvious (when you need to not panic while finding the correct
formul
Chapter 13
Getting An Equation for a Straight Line
Regression Analysis: Y = fn(X) = a + bX
Y^
=
^
0
+
^
1
X
(Dr. Fellers-Nov 19,
2014)
Question to be answered: Is there a statistically significant, linear relationship between X and Y;
^
^
and if so, what
Calculator Tutorial TI 82/83/84
Provided by Dr. Gary Fellers Oct 7, 2013 Version
1. Entering Data
(You might need to turn the diagnostics ON to do certain calculations. Press the blue (or yellow)
2ND button, press the white 0, scroll down to DiagnosticOn,
WORKSHEET 7: Chapter 9 Confidence Intervals and Sample Size Estimation
NAME: _
SECTION:_Remember: Your page x = my page x
1
A Statistics class decided to study the proportion of purple candies in a random sample of 2500
Skittles. After much time counting
WORKSHEET 9: Chapter 13 Simple Linear Regression
NAME: Jessica Sieron
SECTION:_STAT 3090-13_
Grader: each part counts 12 point
The following data represent the total compensation for 10 randomly selected chief executive officers
(CEOs) and the companys st
WORKSHEET 9: Chapter 13 Simple Linear Regression
NAME: _
SECTION:_
Grader: each part counts 12 point
The following data represent the total compensation for 10 randomly selected chief executive officers
(CEOs) and the companys stock performance in 2011. F
Sampling and Data Collection
Sampling Frame:
The population of interest is Langara students and we are using Langara students in the Langara
cafeteria as our sampling frame. If we had more time, we would have increased our sample size.
By increasing the s
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