Part I: Define the following concepts

1. Write four types of Qur’anic commentaries:

1.

2.

3.

4.

Part II. Define the following concepts:

1. Nabi

2. Ummah

3. Araft

4. Mina

5. Rasul

6. Shari`ah

Part III. Answer the following questions:

1. Who put the Quran together in its current format and when was it done?

2. How many chapters and verses does the Quran have?

3. The Quran can roughly be divided into four different genres. What are they?

4. What does the word Jihad mean in Islam?

5. What does the word “ALLAH” means?

6. What is “Shahadah.”

7. What is the salient feature of the Meccean verses?

8. What is the salient feature of Madinan verses?

9. Who are the five major prophets?

10. What are “Unstable” verses?

In response to the following questions, write clear and concise essays.

1. The Quran appears to reject the crucifixion of Christ. What are some of the reasons for such a rejection? State the reasons and offer your own analysis and interpretation of it.

2. What are the five pillars of Islam and what each one tries to achieve?

Listed below are the numbers of words spoken in a day by each member of eight different randomly selected couples. Complete parts​ (a) and​ (b) below. Male 15 comma 974 26 comma 598 1381 7732 19 comma 399 15 comma 474 14 comma 153 26 comma 609 Female 23 comma 948 13 comma 839 18 comma 810 17 comma 408 13 comma 149 16 comma 801 16 comma 434 18 comma 573 a. Use a 0.01 significance level to test the claim that among​ couples, males speak fewer words in a day than females. In this​ example, mu Subscript d is the mean value of the differences d for the population of all pairs of​ data, where each individual difference d is defined as the words spoken by the male minus words spoken by the female. What are the null and alternative hypotheses for the hypothesis​ test? Upper H 0​: mu Subscript d equals 0 ​word(s) Upper H 1​: mu Subscript d less than 0 ​word(s) ​(Type integers or decimals. Do not​ round.) Identify the test statistic. tequals nothing

QUESTION 1:

Researchers claim that women speak significantly more words per day than men. One estimate is that a woman uses about 20,000 words per day while a man uses about 7,000. To investigate such claims, one study used a special device to record the conversations of male and female university students over a four- day period. From these recordings, the daily word count of the 20 men in the study was determined. Here are their daily word counts:

What value we should remove from observation for applying t procedures?

A 90% confidence interval (±±10) for the mean number of words per day of men at this university is from  to  words.

Is there evidence at the 10% level that the mean number of words per day of men at this university differs from 7000?

QUESTION 2:

You are testing H₀: µ = 100 against H_a: µ < 100 based on an SRS of 16 observations from a Normal population. The data give x¯¯¯x¯ = 9.5 and s = 5.9.

The value of the t statistic (±0.01) is  

When people smoke, the nicotine they absorb is converted to cotinine, which can be measured. A sample of 60 smokers has a mean cotinine level of 172.5 ng/ml. Assuming the σ is known to be 99.5 ng/ml, test the claim that the mean cotinine level of all smokers is equal to 200.0 ng/ml. Use a 0.05 significance level.

1.   Copy and paste the Minitab output for exercise into the document underneath the problem.   You are not also required to do these by hand, unless you want to.  

2. Write the rejection rule word for word as written here, "Reject Ho if the p-value is less than or equal to alpha."

3.   Write the actual p-value and alpha, then either "Reject Ho" or "Do not reject Ho." As an example: 0.0021 ≤ 0.05. True. Reject Ho.

4.    Write an English sentence stating the conclusion, claim, and significance level. As an example: If the claim is "Can we conclude that male business executives are taller, on the average, than the general male population at the  α  = 0.05 level?", and if we found our conclusion to be do not reject Ho, the sentence would be, "There is not enough evidence to conclude that  male business executives are taller, on the average, than the general male population at the  α  = 0.05 level."

Simulation Project

Design a Seven Segment Decoder to decode and display CS and the last 2 numbers of your #900 number (Student ID). Assume the corresponding inputs for the letters and numbers.

Example: If your #900 number is 900123456 take last 2 numbers that is 56 and display 'CS56'

Inputs Assumptions

00- for C

01-for S

10— Last number (6 in the given example)

11— Last but one number (5 in the given example)

1. Write the Truth Table for the circuit for all possible inputs with the corresponding outputs.
2. Draw K-maps for each segment 'a' to 'g' and obtain a simplified logic combination of inputs for each output.
3. Using LogiSim draw a combinational logic circuit for each output signal. Draw a combinational logic circuit using appropriate inputs and a 7- segment display (a to g) as outputs. Mark all the labels and name the circuits.

What to turn in:

1. A short description on what is a seven segment Decoder, Truth table for your design, K Maps for simplified equation should be submitted as a word or pdf document with your name on it. (20 points)
2. Circuit using LogiSim. (10 points)
3. Submit the two files (Both pdf/word and circuit) in Canvas before the due date.

Email 1
Subject: Awk Utility Assessment 1
File: awk-utility-assessment-1.awk
Create awk commands to remove all occurrences of the word "PCC" from the input
stream. Your output should be a copy of each input line, with the word PCC
removed wherever it occurs.
      
Email 2
Subject: Awk Utility Assessment 2
File: awk-utility-assessment-2.awk
Create awk commands to remove the first and last words from each line of the
input (assume all lines contain 3 or more words). Your output should be a
copy of each input line, with the first and last words removed.

Email 3
Subject: Awk Utility Assessment 3
File: awk-utility-assessment-3.awk
Create awk commands to count the number of digits in the input.
Your output should be a single number.

Email 4
Subject: Awk Utility Assessment 4
File: awk-utility-assessment-4.awk
Create awk commands to calculate the sum of all digits in the input.
For example, if the input contains the number 123 in the first line,
and the number 456 in the last line, the output should be 21.
Your output should be a single number.

Write a modularized, menu-driven program to read a file with unknown number of records.

• Input file has unknown number of records of inventory items, but no more than 100; one record per line in the following order: item ID, item name (one word), quantity on hand , and a price
• All fields in the input file are separated by a tab (‘\t’) or a blank ( up to you)
• No error checking of the data required
• Create a menu which allows to
  • print inventory unsorted
  • search for an item by ID or name
  • sort by any field in ascending order (smallest to largest): item ID, item name (one word), quantity on hand , or price. Write one function, that can sort by any field. Do not copy and paste sort code five times into the same function. Tip: use bubble sort. It is easier to modify.
  • quit the program
• A user should be able to run many as many times as user wants
• NO goto, continue, break (except for switch)
• Clearly label the output
• Well document your code (comments)
• Include your test data
• All items are unique

Record sample:

997196478 Stroller 25 134.78

Regular expressions are used in Python for describing and identifying specific patterns. In Python, we use “re” or “Regex” to denote regular expressions.

1. Write the Python Code to return matching analytics word in the following given text.
2. Write the Python Code to return how many times analytics word is provided in this text.

Definitions are useful to the extent they serve a purpose. So, is defining analytics important?

Yes and no. It’s not likely that we’ll ever arrive at a conclusive definition of analytics, but discussing what is and isn’t within its realm provides cohesive boundaries; boundaries that can help analytics emerge as an academic discipline, a field of business or a career. We cogently talk about mathematics even though it covers many varied topics. Analytics hasn’t quite reached that point. Understanding its boundaries can help people considering analytics appreciate what they’re getting into. In particular, it can help companies wanting to pursue analytics understand what will work best in their business. This is especially important given that the growth of analytics is leading consultants and software vendors, many of whom don’t fully grasp what analytics can offer, to jump into the fray.

Source: http://analytics-magazine.org/profit-center-what-is-analytics/

A study was done to explore the number of chocolate bars consumed by 16-year-old girls in a month's time. The results are shown below. Number of Chocolate Bars Consumed 56 46 12 62 39 24 59 51 39 52 28 41 10 64 27 0 34 5 55 32 42 24 14 63 1 63 52 58 52 26 Use the data from the chocolate bar study to answer the following questions. Use SPSS for all calculations. Copy and paste the SPSS output into the word document, highlighting the correct answer. Additionally, type the correct answer into your word document next to the corresponding question. 1. Identify the level of measurement used in this study. 2. Using SPSS, run descriptive statistics on the data: a. Find the mean, median, and mode of the number of chocolate bars consumed by 16-year-old girls in a month. b. Find the variance and standard deviation of the number of chocolate bars consumed by 16-year-old girls in a month. 3. Create a frequency distribution table with six intervals/classes. 4. Create a histogram based on the Frequency table in problem 3.

Java:

The goal is to find the number of unique words found in a story file text.txt but there some conditions

1. each such word must be found in the dictionary WordList.txt file,

2. each such word should not be among the commonly used ones such as a, it, etc. Such forbidden words are listed in a separate file called stopwords.txt.

Output will be the single number which is the number of unique words in the story file. Use only ArrayLists or arrays as data structures for your coding and eliminate anything other than a-z,A-Z, lowercasing each, removing empty strings.

text.txt:

Louisa May Alcott's novel brings to life vividly the life of New England during the nineteenth century. A life that was tranquil, secure, and productive. It is little wonder, for she drew on her own and on her family's experiences for her work. As one of four daughters growing up in Boston.

WordList.txt:

i
we
did
sometimes
oh
travels
here
there
but
now
it
you
not
alone
serves
neighboring
disk
digitized
aardvark
aardwolf
tranquil

secure

productive.
abandon
abandoned
abandonment
abandons

stopwords.txt:

i
me   
my   
myself
we
our
ours   
ourselves
you
your   
yours
yourself   
yourselves   
he   
him
his