1. the annual precipitation measurements (Pi in cm) for M city, over a 20year period are shown in the following table. Determine the mean, standard deviation, and skew coefficient for this series.

2. Determine the mean, standard deviation, and skew coefficient for the log values of annual rainfall for M City, given in Problem 1. Also determine the mean precipitation (in cm) of the log-transformed data.

Please clarify each step of the solution.

1. The annual precipitation measurements (Pi in cm) for M city, over a 20year period are shown in the following table. Determine the mean, standard deviation, and skew coefficient for this series.

2. Determine the mean, standard deviation, and skew coefficient for the log values of annual rainfall for M City, given in Problem 1. Also determine the mean precipitation (in cm) of the log-transformed data.

Please clarify each step of the solution.

Please show excel sheets for the following, answers are provided

The CPI-U for Americans 62 years of age and older (some of your professors and some of your authors are interested in this!) present the following annual inflation rates in percent:

A program at SF State is concerned about their graduation rates. Every year they enroll 400 junior-level students, and they’ve been tracking the percent who manage to finish (graduate from) the program in a timely manner. Below are the data for the past 8 years. Express all calculations to 3 significant figures: ie. 12.3% or 0.123 (also 3-decimal spaces).

• Calculate the proportion of the class that graduates each year.
• What kind of control chart should be used in this situation? pChart Justify Why.
• Compute the 3 sigma control limits

Are we in control, give the control

In Unit 2, you have learned about three different types of distributions: Normal, binomial, and Poisson. You can take data that you collect and plot it out onto graphs to see a visual representation of the data. By simply looking at data on a graph, you can tell a lot about how related your observed data are and if they fit into a normal distribution.

For this submission, you will be given a series of scenarios and small collections of data. You should plot the data or calculate probabilities using excel. Then, you will create your own real or hypothetical scenario to graph and explain.

Answer the following:

• The mean temperature for the month of July in Boston, Massachusetts is 73 degrees Fahrenheit. Plot the following data, which represent the observed mean temperature in Boston over the last 20 years:

  1998	72
  1999	69
  2000	78
  2001	70
  2002	67
  2003	74
  2004	73
  2005	65
  2006	77
  2007	71
  2008	75
  2009	68
  2010	72
  2011	77
  2012	65
  2013	79
  2014	77
  2015	78
  2016	72
  2017	74

  1. Is this a normal distribution? Explain your reasoning.
  2. What is an outlier? Are there any outliers in this distribution? Explain your reasoning fully.
  3. Using the above data, what is the probability that the mean will be over 76 in any given July?
  4. Using the above data, what is the probability that the mean will be over 80 in any given July?
     
• A heatwave is defined as 3 or more days in a row with a high temperature over 90 degrees Fahrenheit. Given the following high temperatures recorded over a period of 20 days, what is the probability that there will be a heatwave in the next 10 days?

  Day 1	93
  Day 2	88
  Day 3	91
  Day 4	86
  Day 5	92
  Day 6	91
  Day 7	90
  Day 8	88
  Day 9	85
  Day 10	91
  Day 11	84
  Day 12	86
  Day 13	85
  Day 14	90
  Day 15	92
  Day 16	89
  Day 17	88
  Day 18	90
  Day 19	88
  Day 20	90

Customer surveys reveal that 40% of customers purchase products online versus in the physical store location. Suppose that this business makes 12 sales in a given day

1. Does this situation fit the parameters for a binomial distribution? Explain why or why not?
2. Find the probability of the 12 sales on a given day exactly 4 are made online
3. Find the probability of the 12 sales fewer than 6 are made online
4. Find the probability of the 12 sales more than 8 are made online

Your own example:

• Choose a company that you have recently seen in the news because it is having some sort of problem or scandal, and complete the following:
  • Discuss the situation, and describe how the company could use distributions and probability statistics to learn more about how the scandal could affect its business.
  • If you were a business analyst for the company, what research would you want to do, and what kind of data would you want to collect to create a distribution?
  • Would this be a standard, binomial, or Poisson distribution? Why?
  • List and discuss at least 3 questions that you would want to create probabilities for (e.g., What is the chance that the company loses 10% of its customers in the next year?).
  • What would you hope to learn from calculating these probabilities?
  • Assuming that upper management does not see the value in expending the time and money necessary to collect data to analyze, make an argument (at least 100 words) convincing them that the expenditure is necessary and explaining some dangers the company could face by not knowing what the data predict.

In Unit 2, you have learned about three different types of distributions: Normal, binomial, and Poisson. You can take data that you collect and plot it out onto graphs to see a visual representation of the data. By simply looking at data on a graph, you can tell a lot about how related your observed data are and if they fit into a normal distribution.

For this submission, you will be given a series of scenarios and small collections of data. You should plot the data or calculate probabilities using excel. Then, you will create your own real or hypothetical scenario to graph and explain.

Answer the following:

• The mean temperature for the month of July in Boston, Massachusetts is 73 degrees Fahrenheit. Plot the following data, which represent the observed mean temperature in Boston over the last 20 years:

  1998	72
  1999	69
  2000	78
  2001	70
  2002	67
  2003	74
  2004	73
  2005	65
  2006	77
  2007	71
  2008	75
  2009	68
  2010	72
  2011	77
  2012	65
  2013	79
  2014	77
  2015	78
  2016	72
  2017	74

  1. Is this a normal distribution? Explain your reasoning.
  2. What is an outlier? Are there any outliers in this distribution? Explain your reasoning fully.
  3. Using the above data, what is the probability that the mean will be over 76 in any given July?
  4. Using the above data, what is the probability that the mean will be over 80 in any given July?
     
• A heatwave is defined as 3 or more days in a row with a high temperature over 90 degrees Fahrenheit. Given the following high temperatures recorded over a period of 20 days, what is the probability that there will be a heatwave in the next 10 days?

  Day 1	93
  Day 2	88
  Day 3	91
  Day 4	86
  Day 5	92
  Day 6	91
  Day 7	90
  Day 8	88
  Day 9	85
  Day 10	91
  Day 11	84
  Day 12	86
  Day 13	85
  Day 14	90
  Day 15	92
  Day 16	89
  Day 17	88
  Day 18	90
  Day 19	88
  Day 20	90

Customer surveys reveal that 40% of customers purchase products online versus in the physical store location. Suppose that this business makes 12 sales in a given day

1. Does this situation fit the parameters for a binomial distribution? Explain why or why not?
2. Find the probability of the 12 sales on a given day exactly 4 are made online
3. Find the probability of the 12 sales fewer than 6 are made online
4. Find the probability of the 12 sales more than 8 are made online

Your own example:

• Choose a company that you have recently seen in the news because it is having some sort of problem or scandal, and complete the following:
  • Discuss the situation, and describe how the company could use distributions and probability statistics to learn more about how the scandal could affect its business.
  • If you were a business analyst for the company, what research would you want to do, and what kind of data would you want to collect to create a distribution?
  • Would this be a standard, binomial, or Poisson distribution? Why?
  • List and discuss at least 3 questions that you would want to create probabilities for (e.g., What is the chance that the company loses 10% of its customers in the next year?).
  • What would you hope to learn from calculating these probabilities?
  • Assuming that upper management does not see the value in expending the time and money necessary to collect data to analyze, make an argument (at least 100 words) convincing them that the expenditure is necessary and explaining some dangers the company could face by not knowing what the data predict.

Create a class called MovieReducerExtremes that implements MediaReducer. Implement a reducer that takes a movie list and an option ("newest" or "oldest"), then return the newest or oldest movie as appropriate.Submit both the MovieReducerExtremes and the Movie class from the first question.

/////Required Output:///////

Newest\n
 2014 AKA Jessica Jones                                       Action         \n
Oldest\n
 1936 Cabaret                                                 Music          \n

Given Files:

Movie.java

public class Movie extends Media {
    public Movie(String name, int year, String genre) {
        super(name, year, genre);
    }

    public String getEra() {
        if (getYear() >= 2000) {
            return "New Millennium Era";
        } else if (getYear() >= 1977) {
            return "Modern Era";
        } else if (getYear() >= 1955) {
            return "Change Era";
        } else if (getYear() >= 1941) {
            return "Golden Era";
        }

        return "Pre-Golden Era";
    }

    public boolean wasReleasedAfter(Media other) {
        return getYear() > other.getYear();
    }

    public boolean wasReleasedBeforeOrInSameYear(Media other) {
        return getYear() <= other.getYear();
    }
}

Demo3.java

import java.io.FileNotFoundException;
import java.util.ArrayList;

public class Demo3 
{

    public static void main(String[] args) throws FileNotFoundException {

        ArrayList movies = MovieLoader.loadAllMovies();

        MediaReducer op = new MovieReducerExtremes();

        System.out.println("Newest");
        System.out.println(op.reduce(movies, "Newest"));
        System.out.println("Oldest");
        System.out.println(op.reduce(movies, "Oldest"));
    }
}

Media.java
public abstract class Media {
    private String name;
    private int year;
    private String genre;

    public Media(String n, int y, String g) {
        name = n;
        year = y;
        genre = g;
    }

    public String getName() {
        return name;
    }

    public int getYear() {
        return year;
    }

    public String getGenre() {
        return genre;
    }

    public String toString() {
        return String.format("%5d %-55s %-15s", year, name, genre);
    }

    //if the media was released on or after the year 2000, return New Millennium Era
    //if the media was released on or after the year 1977, return Modern Era
    //if the media was released on or after the year 1955, return Change Era
    //if the media was released on or after the year 1941, return Golden Era
    //in any other situation, return Pre-Golden Era
    public abstract String getEra();

    //return true if this media has a greater release year than the other's
    public abstract boolean wasReleasedAfter(Media other);

    //return true if this media was a lesser or equal release yearn than the other's
    public abstract boolean wasReleasedBeforeOrInSameYear(Media other);
}

MovieLoader.java

import java.io.File;
import java.io.FileNotFoundException;
import java.util.ArrayList;
import java.util.Scanner;

public class MovieLoader {
    public static ArrayList loadAllMovies() throws FileNotFoundException {
        File f = new File("movie_list.txt");
        Scanner inputFile = new Scanner(f);
        ArrayList result = new ArrayList<>();
        while (inputFile.hasNextLine()) {
            String name = inputFile.nextLine();
            int year = inputFile.nextInt();
            //skip new line
            inputFile.nextLine();
            String genre = inputFile.nextLine();
            Media m = new Movie(name, year, genre);
            result.add(m);
        }
        return result;
    }
}

MediaReducer

import java.util.ArrayList;

public interface MediaReducer {
    public String reduce(ArrayList list, String key);
}

A couple from the movie_list.txt

!Next?
1994
Documentary
#1 Single
2006
Reality-TV
#ByMySide
2012
Drama
#Follow
2011
Mystery
#nitTWITS
2011
Comedy
$#*! My Dad Says
2010
Comedy
$1,000,000 Chance of a Lifetime
1986
Game-Show
$100 Makeover
2010
Reality-TV
$100 Taxi Ride
2001
Documentary
$100,000 Name That Tune
1984
Game-Show
$100,000 Name That Tune
1984
Music
$2 Bill
2002
Documentary
$2 Bill
2002
Music
$2 Bill
2002
Music
$2 Bill
2002
Music
$2 Bill
2002
Music
$25 Million Dollar Hoax
2004
Reality-TV
$40 a Day
2002
Documentary
$5 Cover
2009
Drama
$5 Cover: Seattle
2009
Drama
$50,000 Letterbox
1980
Game-Show
$9.99
2003
Adventure
$weepstake$
1979
Drama
' Horse Trials '
2011
Sport
'80s Videos: A to Z
2009
Music
'Allo 'Allo!
1982
Comedy
'Allo 'Allo!
1982
War
'Conversations with My Wife'
2010
Comedy
'Da Kink in My Hair
2007
Comedy
'Da Kink in My Hair
2007
Drama
'More strasti'
2000
Romance
'Ons Sterrenkookboek'
2007
Documentary
'Orrible
2001
Comedy
'Orrible
2001
Crime
'Orrible
2001
Drama
'S ann an Ile
2009
Documentary
'Sang linggo nAPO sila
1995
Game-Show
'Sang linggo nAPO sila
1995
Musical
'T Wilhelmina
1975
Comedy
'Til Death Do Us Part
2006
Crime
'Til Death Do Us Part
2006
Drama
'Til Death Do Us Part
2006
Fantasy
'Til Death Do Us Part
2006
Romance
'Til Death Do Us Part
2006
Thriller
'Til Death
2006
Comedy
'Untold
2004
Documentary
'Wag kukurap
2004
Horror
'Way Out
1961
Drama
'Way Out
1961
Horror
'Way Out
1961
Sci-Fi
'n Shrink
2009
Comedy
't Is maar TV
1999
Comedy
't Is maar TV
1999
Game-Show
't Is maar een spel
2002
Comedy
't Is maar een spel
2002
Game-Show
't Schaep Met De 5 Pooten
1969
Comedy
't Schaep Met De 5 Pooten
2006
Comedy
't Schaep Met De 5 Pooten
2006
Drama
't Zal je gebeuren...
1998
Drama
't Zonnetje in huis
1993
Comedy
(S)truth
1999
Drama
+ Clair
2001
Documentary
+ Emprendedores mi+d
2010
Documentary
+ Investigadores
2008
Documentary
+ de cin�ma
2001
Documentary
+ de cin�ma
2001
News
... ins Gr�ne! Das Stadt-Land-Lust-Magazin
2010
Documentary
... und basta!
2006
Comedy
... und basta!
2006
Music
... und die Tuba bl�st der Huber
1981
Comedy

1. The General Social Survey polled a sample of 209 people aged 18-30 in the year 2000, asking them how many hours per week they spend on the internet. The sample mean was 6.75 with a standard deviation of 7.71. A second sample of 541 people aged 18-30 was taken in 2006. For this sample, the mean was 7.34 and standard deviation of 10.93. Assume these are simple random samples from populations of people aged 18-30. Can you conclude that the mean number of hours per week spent on the internet increased between 2000 and 2006?

a. Do the hypothesis test with α=0.05 significance level.

b. Construct a 95% confidence interval for the difference in mean number of hours spend per week on the Internet between 2000 and 2006.

c. Calculate the Margin of Error for 95% confidence level.

4. Even though Oracle has the second market share in the database industry (33.7%, behind IBM's 34.1% in 2004), it has chosen to let IBM'DB2 customers use their future products (iFlex, Retek and Fusion). It may seem all the more strange to form this kind of "alliance" with the competitor just ahead of them. Analyze Oracle’s strategy using the theory of lock-in and Compatibility.