QUESTION 1

p < .05 means that the difference between sample means

• the results should be declared “not significant”;
• should be attributed to chance rather than to the independent variable
• both choices are correct
• none of the choices are correct

QUESTION 2

The null hypothesis in a paired samples t test is that the two

• samples have identical means
• populations have different means
• samples have different means
• populations have identical means

QUESTION 3

In an independent samples design, the null hypothesis is that

• the population mean of one group is equal to that of a second group
• the sample mean of one group is equal to that of a second group
• sample mean of one group is larger or smaller than that of a second group
• the population mean of one group is larger or smaller than that of a second group

QUESTION 4

A correlation coefficient of .72 based on 7 pairs is, for a two-tailed test,

a.not significant

b.significant at the .001 level

c.significant at the .05 level

d.significant at the .01 level

5 points

Suppose you obtained a sample from a population different from the one specified by the null hypothesis. On the basis of a t test, you failed to reject the null hypothesis. You have made a

a.Type II error

b.correct decision

c.any of the other alternatives could be; more information is needed

d.Type I error

QUESTION 6

According to your text, the motivation of the agricultural scientists (agronomists) who selected 30:1 as the point separating differences due to chance from those not due to chance, was

a.to maximize the chance that a recommendation to change would be made

b.to minimize a Type II error

c.to minimize the chance of making a false recommendation

d.that tables already existed for odds of 30:1

QUESTION 7

1 – b is the ___ of a statistical test.

a.neither of the descriptive alternatives are correct

b.both of the descriptive alternatives are correct

c.probability of a

d.power

QUESTION 8

Data Set 10-1

A college teacher was assigned 4 freshmen advisees. He administered an attitude scale that measured liberalism-conservatism. Four years later, just before graduation, all 4 took the same scale again. High scores indicate conservative attitude. The following scores were obtained.

Freshman yearSenior year

2615

2223

1714

1510

The proper conclusion for the experiment described in Data Set 10-1 is

a.there was no significant shift in attitudes

b.there was a significant shift in attitudes from conservative to liberal (p < .05)

c.there was a significant shift in attitudes from liberal to conservative (p < .05)

QUESTION 9

Critical values are in the rejection region of the t distribution.

True

False

QUESTION 10

The symbol for an effect size index is ñ (rho).

True

False

QUESTION 11

The numerator of a t test is a difference between means.

True

False

QUESTION 12

If a difference is statistically significant, the null hypothesis was rejected.

True

False

QUESTION 13

The two opposing hypotheses in null hypothesis significance testing are the null hypothesis and the derivative hypothesis.

True

False

SAMPLE ASSIGNMENT

Sample-2

 Differentiate between homogeneous and heterogeneous mixtures
 Differentiate between physical and chemical changes of matter
 Differentiate between physical and chemical properties of matter
 Compare and contrast the three basic physical states of matter with respect to particle
spacing and particle motion
 Differentiate between intensive properties and extensive properties
 Differentiate between kinetic and potential energy

SAMPLE ASSIGNMENT

Sample-2

ICT583 Data Science Applications

1. Use the nycflights13 package and the flights data frame to answer the following questions:

1.1 What month had the highest proportion of canceled flights (the arr_delay variable is NA)? What month had the lowest? Plot the proportion of canceled flights each month and interpret any seasonal patterns. (8 points)

1.2 What plane (specified by the tailnum variable) traveled the most times from New York City airports (JFK, LGA or EWR) in 2013? Plot the number of trips per week. (8 points)

2. Use the Lahman package and the Teams data frame to answer the following questions:
   • Define two new variables in the Teams data frame: batting average (BA) and slugging percentage (SLG). Batting average is the ratio of hits (H) to at-bats (AB), and slugging percentage is total bases divided by at-bats. To compute total bases, you get 1 for a single, 2 for a double, 3 for a triple, and 4 for a home run. (8 points)

2.2 Display the top 15 teams ranked in terms of slugging percentage in MLB history. Repeat this using teams since 1969. (8 points)

2.3 Create a factor called election that divides the yearID into four-year blocks that correspond to U.S. presidential terms (from 1788 to 2017). During which term have the most home runs been hit? (Hint: seq function) (5 points)

3. Using the storms data frame from the nasaweather package:

Create a scatterplot between wind and pressure, with color being used to distinguish the type of storm. You might notice there are lots of overlapping data points in the scatterplot due to a comparatively large sample size, How would you improve your visualization? (5 points)

4. Using the whately_2015 data frame from the macleish package:

Create a data graphic that displays the average temperature over each 10-minute interval (temperature) as a function of time (when). Show both connected line and fitted line (8 points)

ICT583 Data Science Applications

5. Suppose you are rolling two fair dies with success defined as getting a total value 4. If you roll two dies independently for eight times: (10 points)

3.1 What is the probability of observing exactly five successes (five total value 4s) in total? (calculated by hand)

3.2 Use R to confirm the result of Pr(X=5) for the die-roll example.

3.3 Plot the corresponding full probability mass function for X for this die-rolling example.

Part Two – small projects

COVID-19 Pandemic

The COVID-19 outbreak was first identified in December 2019 in Wuhan, China. The WHO declared the outbreak a Public Health Emergency of International Concern on 30 January 2020 and a pandemic on 11 March (Wikipedia). Organizations worldwide have been collecting data so that the government can monitor and learn from this pandemic. You will use the dataset ‘time_series_covid_19_confirmed.csv’ from LMS to explore the COVID-19 data. (20 points)

Note: This data set details can be found via https://www.kaggle.com/sudalairajkumar/novel-corona-virus-2019-dataset#time_series_covid_19_confirmed.csv;

Your data analysis should include but not limited to the answers to the following questions:

1. Create a clear bar chart that displays the latest number of COVID-19 cases of the top 10 countries. Consider how to improve the quality and aesthetics of your visualization.
2. Visualize the confirmed cases worldwide from January to March.
3. Visualize the confirmed cases of COVID-19 in China and the rest of the world from January to March. Can you relate the main changes observed from the plot with the landmark events such as WHO declared a pandemic?
4. Add a smooth trend line using linear regression to measure how fast the number of cases is growing in China after 15 February 2020. How does the rest of the world compare to linear growth?
5. Raise at least one question from your own regarding the COVID-19 pandemic and find answers using the given dataset.

******************************************************************************

Exploration of the bitcoin cryptocurrency market

After Bitcoin was launched in 2009, hundreds of similar projects based on the blockchain technology have emerged. Currently, Bitcoin is the world’s largest cryptocurrency by market capitalization. Meanwhile, the cryptocurrency market is exceptionally volatile and can make you lose all the money easily. You will use the dataset ‘cryptocurrency_market_2017.csv’ from LMS to explore the bitcoin cryptocurrency market.

Your data analysis should include but not limited to the answers to the following questions: (20 points)

1. Are there any cryptocurrencies listed in this dataset that have no known market capitalization (market_cap_usd)? If yes, they can be removed from the dataset.
2. Bitcoin has the largest market capitalization. Let’s compare Bitcoin with the rest of the cryptocurrencies. You can visualize the percentage of market capitalization for the top 10 coins as a barplot. Consider how to improve the plot to make it easier to read and convey more information.
3. Let’s explore the volatility of the cryptocurrencies market. You can select and plot the top 10 (sort by percent_change_24h in ascending order) coins’ 1 hour (percent_change_1h), 24 hours (percent_change_24h) and 7 days percentage change (percent_change_7d).
4. Design the bar plots to best display the daily and weekly biggest gainers and the biggest losers in market capitalization.
5. In general, cryptocurrencies with smaller capitalization are less stable projects, and therefore even riskier investments than the bigger ones. Following the Investopedia’s large capitalization definitions (https://www.investopedia.com/terms/b/bitcoin.asp), let’s find out the coins with large capitalization.
6. Raise at least one question from your own regarding the bitcoin cryptocurrency market and find answers using the given dataset.

DETAILED INSTRUCTIONS

20200910132456mid_term_exercise

Module 2: Exam 2 SM20: Racial and Ethnic Groups in United States History-137-30

In his treaties, Thomas Jefferson created the goal of Native Americans
becoming

What status did Native Americans have in the United States in the 19th
century?

At the Battle of Horseshoe Bend, Andrew Jackson and his troops:

Module 2: Exam 2 SM20

Exam 2 includes content from Modules 2, which includes the Calderon lectures from Modules 2, A
Different Mirror Chapters 4, 5, and 6 and the assigned documents from Voices of a Peoples History
of the United States for Modules 2.
The exam consists of multiple choice questions. Students their notes from the Exam 2 Study Guide
Questions (if you prepared these), the assigned textbooks, and the Calderon lectures to help them
answer the following questions. The exam is NOT timed. However, once you start the exam, you
must finish it.
Students may take the exam TWICE to improve their score, and master the material. Each time, the
questions will remain the same–but the answers will be shuffled into a different order. So, learn the
answer!
Select the BEST answer for the following questions. Work hard and good luck!

Files

Sample-2

Annapolis Company

Annapolis Company purchased a $3,000, 4%, 9-year bond at 95 and held it to maturity. The straight line method of amortization is used for both premiums & discounts. What is the net cash received over the life of the bond investment?   (all money received minus all money paid, round to nearest whole dollar)

Ocean Pines Company had net income $550,000. They also had depreciation expense of $125,000, an increase or (decrease) in accounts receivable of $30,000, and an increase or (decrease) in inventory of $5,000. Ocean Pines prepares their Statement of Cash Flows using the indirect method.  Use this information to determine the dollar value of cash provided or (used) by operating activities. If the total is a use of cash, enter as a negative number.  (a negative number for accounts receivable or inventory indicates that the balance decreased)

On January 2, 2019, All Good Company purchased 9,000 shares of the stock of Big Bad Company, and DID NOT obtain significant influence.  The investment is intended as a long-term investment.  The stock was purchased for $20 per share, and represents a 10% ownership stake.  Big Bad Company made $400,000 of net income in 2019, and paid dividends to All Good Company of $10,000 on December 15, 2019.  On December 31, 2019, Big Bad Company’s stock was trading on the open market for $20.50 per share at the end of the year.  Use this information to determine the unrealized gain or loss on the investment that should be reported at year end by All Good Company.  If it is a loss, enter as a negative number.  Round to nearest whole dollar.

On January 2, 2018, All Good Company purchased 10,000 shares of the stock of Big Bad Company, and DID obtain significant influence.  The investment is intended as a long-term investment.  The stock was purchased for $17 per share, and represents a 30% ownership stake.  Big Bad Company made $500,000 of net income in 2018, and paid dividends to All Good Company of $35,000 on December 15, 2018.  Big Bad Company’s stock was trading on the open market for $14 per share at the end of the year.  Use this information to determine the book value of the investment that should be reported at year end by All Good Company. Round to nearest whole dollar.

Allstar Company signed a $150,000 mortgage on July 1, 2018 for the purchase of their new garage building. The mortgage entailed equal monthly payments of $2,600 at the end of each month. The interest rate is 5.0% per year.  How much interest expense will be paid on August 31, 2018? (Round your answer to the nearest whole dollar.)

On January 2, 2018, Alpaca Company purchased 14,000 shares of the stock of Zebra Company, and did not obtain significant influence.  The investment is intended as a long-term investment.  The stock was purchased for $12 per share, and represents a 10% ownership stake.  Zebra Company made $55,000 of net income in 2018, and paid dividends of 50 cents per share on December 15, 2018.  On December 31, 2018, Zebra Company’s stock was trading on the open market for $15 per share at the end of the year.  Use this information to prepare the General Journal entry(ies) (without explanation) for January 2 purchase and the December 15 & 31, 2018 record of income & gain/loss. If no entry is required then write “No Entry Required.”

Files

quizzz

1. Complete partials with respect to ?” and ?# for the following: ? = &?”.?#

U=2 X1 + X2 + 10X1X2

U=(?#” + ?#)# + (?”?#)+

2. Prove the equal marginal principle/rule for optimization using two goods. Illustrate with a diagram to bring together your analysis.

Remember that one of the crucial steps to proving this is the following intuition: 0 = MUX1.∆ X1+ MUX2.∆ X2

3. Prove that indifference curves cannot intersect.

4. Julio receives utility from consuming food (F) and clothing (C) as given by the utility function U(F,C)=FC. In addition, the price of food is $2 per unit, the price of clothing is $10 per unit, and Julio’s weekly income is $50.

What is Julio’s marginal rate of substitution of food for clothing when utility is maximized? Explain.

5. Suppose instead that Julio is consuming a bundle with more food and less clothing than his utility maximizing bundle. Would his marginal rate of substitution of food for clothing be greater than or less than your answer in part a? Explain.