THERMOCHEMISTRY CALCULATIONS WORKSHEET 1
Using reaction equation ratios
1. How much heat will be released when 6.44 g of Sulfur reacts with excess O2 according to the following equation?
H = -791.4kJ
2S + 3O2 2SO3
2. How much heat will be released when 4.
Name_Date_Period_
Heat Worksheet
1. If an exothermic reaction releases 86.5 kJ, who may kilocalories of energy are released?
2. If an endothermic process absorbs 256 J, how many kilocalories are absorbed?
3. An exothermic reaction releases 325,000 calorie
Name_Date_Period_
Hesss Law Worksheet
1.
From the following enthalpy changes, calculate the value of H for the reaction C(s) + O2(g)
CO2(g).
C(s) + O2(g) CO (g)
H = -110.5 kJ
CO(g) + O2(g) CO2(g) H = -283.0 kJ
2. From the following enthalpy changes, calc
Oxidation and Reduction Practice
In each of the following equations, indicate the element that has been oxidized and the one that
has been reduced. You should also label the oxidation state of each before and after the
process:
1)
2 Na + FeCl2 2 NaCl + Fe
Dilutions Worksheet
1)
If I add 25 mL of water to 125 mL of a 0.15 M NaOH solution, what will the
molarity of the diluted solution be?
2)
If I add water to 100 mL of a 0.15 M NaOH solution until the final volume is
150 mL, what will the molarity of the di
Stoichiometry Review Worksheet
1.
Balance the following equation: _ K2PtCl4 + _2_ NH3 _ Pt(NH3)2Cl2 + _2_ KCl
Determine the grams of KCl produced (theoretical yield) if you start with 34.5 grams of NH3.
1 mol NH 3 2 mol KCl 74.55 g KCl
34.5 g NH 3
17.
Chapter 1-Statistical Terms
Unit-smallest material from which we collect data
Population- data from all units of measure
Sample-portion or subset of population
Variable-observed property of every unit in the population or sample
2 types of variablesQualit
1. True or False: When we take information contained in the sample and make
statements or predictions about all of the information in the population, we are
utilizing the technique that is known as inferential statistics.
True.
2. Which of the following s
Chapter 7 One Sample Estimation Problems
1. Suppose we want to estimate the average pulse rate of women. A sample of 40 women had a
mean of 76.3 and a standard deviation of 12.5. Construct a 99% confidence interval for the mean
pulse rate of all women.
2.
Chapter 4 Discrete Random Variables
1. Suppose a bookie will give you $6 for every $1 you risk if you pick the winner in 3
ballgames. For every $1 bet, you either lose $1 or gain $6. What is the bookies
expected earnings per dollar wagered?
2. Given the f
Chapter 2 Worksheet
1. Given the following stem and leaf plot:
3
4
5
6
7
8
9
10
2
1
4
5
4
8
2
0
6
8
3
1
6
Stem Unit=hundreds
9
5
1
9
5
8
9
a. How many observations are represented in the plot?
b. What is the largest observation?
c. What is the median?
2.
STA 2023 Statistical Methods I
Instructor: Mrs. Susan Schott
E-Mail: sschott@ucf.edu
Note: I will only respond to knights e-mail
Phone:
Office:
Fall 2015
823-2832 (best way to reach me is email)
TCII 210C
Webcourses: Access to the webcourse component can
Fall 15
Final Exam Review Problem
This is a list of suggested review problems for the cumulative part of the final exam.
Your studying should not be limited to doing only these problems. I would also
suggest going over the class notes to prepare for the e
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Stat 4183
Fall 2011
Home work # 7
Name
Warning: only a sketch of solutions. please spend some time nishing up the numerical calculation, which is required in the exam!
1. An investor enters into an agreement to contribute $6000 immediately and $1000 at th
Stat 4183
Fall 2012
Exam Two
1. A loan of $1000 is being repaid with quarterly payments at the end of each quarter for
5 years at 6% convertible quarterly. Find the outstanding loan balance at the end of
the second year and nd the amount of principal in t
Chapter 7: Estimation Using Confidence Intervals
Two Basic Types of Inferences
1) Estimation- guess the value of the parameter
a. Point Estimate- one value
Ex) guess =7
b. Interval estimate- collection of values
Ex) guess that is between 6 and 8
2) Test
Chapter 5: Continuous Random Variables- random variables that can take on any value in an interval
Section 5.1) Probability Distribution for a Continuous Random Variable
The probability Distribution of a continuous x is a smooth curve located over the val
STA1001C
Student
Course Materials
Course Materials
Table of Contents
Chapter 1 Course Launch, What is Statistics, and Mind Set Activity
Supplement Community Contract . 3
Lesson 1.1: The Statistical Analysis Process. 5
Supplement 1.2: Mindset Activity .17
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STA 3032Probability and Statistics for Engineers
Fall 2015
Instructor Contact
Instructor
Office
Office
Hours
Phone
E-mail
Basma Selim, Ph.D.
Lake Nona COM 313
Tu and Th 5:30 - 6:00 pm and
7:15 7:45pm
Other times by appointment
407.266.1411
basma.selim@ucf
56
CHAPTER Probability
2
Sometimes A and B have no outcomes in common, so that the intersection of
A and B contains no outcomes.
I Let 0 denote the null event (the event consisting of no outcomes whatsoever).
When A n B = 0, A and B are said to be mutuall
Austin Martratt
STA3032
Assignment #1
12. C
Distribution of particle sizes seems to be positively skewed.
12.D
The above graph shows data that is positively skewed, therefore, by comparison both graphs show data
that is positively skewed.
Chapter 7 One Sample Estimation Problems
1. Suppose we want to estimate the average pulse rate of women. A sample of 40 women had a
mean of 76.3 and a standard deviation of 12.5. Construct a 99% confidence interval for the mean
pulse rate of all women.
2.