Use calculations to show what is the effect on the value of the water of hydration should you fail to perform ignition on your crucible. Explain your answer.

Use calculations to show what is the effect on the value of the water of hydration should you fail to completely dry your compound. Explain your answer.

According to the website Rotten Tomatoes, the movie “The Peanuts Movie” received 92 critic reviews. Of these 92 reviews, 79 of them were positive reviews (a fresh tomato) and 13 of them were negative reviews (a rotten tomato.) Test the claim made by 20^th Century Fox, the company which made The Peanuts Movie that more than 80% of all critics gave this movie positive reviews. To this end find the following (at alpha = 0.05):

1. State the Null Hypothesis
2. State the Alternative Hypothesis
3. Find the test statistic
4. State the critical value
5. Make conclusions about your hypothesis test
6. Find the P-value for this sample data

1. If you stored the following binary number (-0.000000100101) as a binary floating point number, what value would be STORED in the exponent section? Also convert A7.11 Hex value to floating point.

2. Number of bits saved using Huffman encoding. From the following characters used in a message with their associated frequency, use Huffman Coding as a compression technique. How many bits will be saved in the message? (Keep in mind that one character is one byte which consists of 8 bits). Draw the associated Huffman Tree to help calculate your answer. Show all your work. (15 points)

Character                                                                                            Frequency

What does theory tell us about the effects of unskilled labor migration into a particular region?Specifically, discuss the intra-regional effects of this immigration on unskilled wages, product mix, and the returns to other factors (including, possibly, skilled labor, capital, and/or land). In your answer, contrast the predictions of the specific factors model with those of the Heckscher-Ohlin model, and state the assumptions you are invoking when discussing each. Finally, drawing on readings and class discussions, summarize the empirical evidence on these predictions.

Perform a Work Flow Analysis for a drive-thru cashier and order taker at a McDonald's restaurant.This means you need a column describing the Raw Inputs/Equipment/Human Resources and one for Activity and one for Output. In other words, think about what raw inputs are needed, what equipment is needed, what knowledge a worker needs to take the drive-thru orders, relay them to the cooking lines, and handle cash/credit from customers when paying. Then, tasks are identified in the Activity section - and what the Output is. This is more than just a list of two items each.

######################LANGUAGE PANDAS####################

#####################MATPLOTLIB###########################

#########################################################

# read ufo.csv into a DataFrame called 'ufo'

# print the head and the tail

# examine the default index, data types, and shape of ufo dataframe

# count the number of missing values in each column

# count total number of null vlaues in the dataframe

# print those rows which has null values

# fill null values,
#if any column is numerical has null value than fill this column with mean of that column

#if any column is categorical than fill this column with most frequent value of that column

# calculate the most frequent value for each of the columns (in a single command)

# what are the four most frequent colors reported?

# for reports in VA, what's the most frequent city?

# show only the UFO reports from Arlington, VA

# show only the UFO reports in which the City is missing

# how many rows remain if you drop all rows with any missing values?

# replace any spaces in the column names with an underscore

# create a new column called 'Location' that includes both City and State
# For example, the 'Location' for the first row would be 'Ithaca, NY'

# map existing values to a different set of values
# like in column 'is_male', convert F value to 0 and M to 1 with pandas

# writing generic code to replace spaces with underscores
# In other words, your code should not reference the specific column names

# convert datatype of column 'time' to the datetime format

ufo.csv file

######################LANGUAGE PANDAS####################

#####################MATPLOTLIB###########################

#########################################################

# read ufo.csv into a DataFrame called 'ufo'

# print the head and the tail

# examine the default index, data types, and shape of ufo dataframe

# count the number of missing values in each column

# count total number of null vlaues in the dataframe

# print those rows which has null values

# fill null values,
#if any column is numerical has null value than fill this column with mean of that column

#if any column is categorical than fill this column with most frequent value of that column

# calculate the most frequent value for each of the columns (in a single command)

# what are the four most frequent colors reported?

# for reports in VA, what's the most frequent city?

# show only the UFO reports from Arlington, VA

# show only the UFO reports in which the City is missing

# how many rows remain if you drop all rows with any missing values?

# replace any spaces in the column names with an underscore

# create a new column called 'Location' that includes both City and State
# For example, the 'Location' for the first row would be 'Ithaca, NY'

# map existing values to a different set of values
# like in column 'is_male', convert F value to 0 and M to 1 with pandas

# writing generic code to replace spaces with underscores
# In other words, your code should not reference the specific column names

# convert datatype of column 'time' to the datetime format

ufo.csv file

1.

In your own words, describe the significance of the Mechanical Equivalence of Heat. How does that relate to Thermodynamics?

2. What is the relationship between Temperature and Heat added to a material? Make sure to detail what happens when the material undergoes a change of phase.

Please questions 1 and 2 thank you

Assign 07 - Linux Forensics

Learning Objectives and Outcomes

• Research information about Linux forensic investigations and appropriate tools.
• Identify and describe three Web sites that provide highly relevant information to Linux forensic investigations.

Assignment Requirements

You are an experienced digital forensics specialist for DigiFirm Investigation Company. DigiFirm is involved in an investigation of a large corporation accused of unauthorized access of a competitor’s database to obtain customer information. The DigiFirm team will be responsible for the forensic investigation of the seized computers that are running Linux.

Chris, your team leader, has asked you to research information and tools that the team can use during the investigations.

For this assignment:

1. Research Web sites that provide information or tools for Linux forensic investigations.
2. Write a report that describes three of the most promising Web sites in detail and discusses why these resources might be helpful in a forensic examination.

Required Resources

• Course textbook
• Internet

Submission Requirements

• Format: Microsoft Word
• Font: Arial, size 12, double-space
• Citation Style: Follow your school’s preferred style guide
• Length: 1–2 pages