Question

In: Statistics and Probability

2. Identify the variables mentioned in the narrative paragraph and determine which are categorical and quantitative?...

2. Identify the variables mentioned in the narrative paragraph and determine which are categorical and quantitative?

3. Create one variable to hold a subset of your data set that contains only the Regular Section and one variable for the Sports Section.

4. Use the Plot function to plot each Sections scores and the number of students achieving that score. Use additional Plot Arguments to label the graph and give each axis an appropriate label. Once you have produced your Plots answer the following questions:

a. Comparing and contrasting the point distributions between the two section, looking at both tendency and consistency: Can you say that one section tended to score more points than the other? Justify and explain your answer.

b. Did every student in one section score more points than every student in the other section? If not, explain what a statistical tendency means in this context.

c. What could be one additional variable that was not mentioned in the narrative that could be influencing the point distributions between the two sections?

Count	Score	Section
10	200	Sports
10	205	Sports
20	235	Sports
10	240	Sports
10	250	Sports
10	265	Regular
10	275	Regular
30	285	Sports
10	295	Regular
10	300	Regular
20	300	Sports
10	305	Sports
10	305	Regular
10	310	Regular
10	310	Sports
20	320	Regular
10	305	Regular
10	315	Sports
20	320	Regular
10	325	Regular
10	325	Sports
20	330	Regular
10	330	Sports
30	335	Sports
10	335	Regular
20	340	Regular
10	340	Sports
30	350	Regular
20	360	Regular
10	360	Sports
20	365	Regular
20	365	Sports
10	370	Sports
10	370	Regular
20	375	Regular
10	375	Sports
20	380	Regular
10	395	Sports

Expert Solution

Part 2

The variables 'Count' and 'Section' are categorical, whereas the variable 'Score' is quantitative.

Part 3

The following is the required table for the Regular Section

Count	Score	Section = Regular
10	265	Regular
10	275	Regular
10	295	Regular
10	300	Regular
10	305	Regular
10	310	Regular
20	320	Regular
10	305	Regular
20	320	Regular
10	325	Regular
20	330	Regular
10	335	Regular
20	340	Regular
30	350	Regular
20	360	Regular
20	365	Regular
10	370	Regular
20	375	Regular
20	380	Regular

The following is the required table for the Sports Section

Count	Score	Section = Sports
10	200	Sports
10	205	Sports
20	235	Sports
10	240	Sports
10	250	Sports
30	285	Sports
20	300	Sports
10	305	Sports
10	310	Sports
10	315	Sports
10	325	Sports
10	330	Sports
30	335	Sports
10	340	Sports
10	360	Sports
20	365	Sports
10	370	Sports
10	375	Sports
10	395	Sports

Part 4

a)

Part b)

It is quite apparent that the sports section students have obtained more scores than the regular section students. We can employ a t-test to determine a statistical difference between the scores sectionwise.

orchestra answered 2 years ago

2. For each of the following variables, indicate if it is quantitative or categorical and also...

2. For each of the following variables, indicate if it is quantitative or categorical and also indicate the scale of measurement used for each: The Gender of an individual The Weight(pounds) of a package The Income(dollars) of an individual The Distance(miles) between two cities

Hair Color and Job Title are examples of: continuous variables categorical variables quantitative variables ordinal variables...

Hair Color and Job Title are examples of: continuous variables categorical variables quantitative variables ordinal variables numerical variables discrete variables none of the above

For each of the following variables, determine whether the variable is categorical or numerical. If the...

For each of the following variables, determine whether the variable is categorical or numerical. If the variable is numerical, determine whether the variable is discrete or continuous. In addition, determine the measurement scale. a. Number of times the individual changed jobs in the last 5 years b.Fragrance that the individual wears most frequently c. Amount of gasoline used for driving per month d.Day on which the person is most likely to shop online(Monday, Tuesday, etc.)

Come up with a quantitative variable (not mentioned in the text). Identify the appropriate scale of...

Come up with a quantitative variable (not mentioned in the text). Identify the appropriate scale of measurement. Identify whether this variable is discrete or continuous (or at least theoretically continuous). Identify all of the frequency distribution graphs that would be appropriate for this variable. Come up with a qualitative variable (not mentioned in the text). Identify the appropriate scale of measurement. Identify whether this variable is discrete or continuous (or at least theoretically continuous). Identify all of the frequency distribution...

Briefly explain specifically why categorical and quantitative variables require different methods in order to describe their...

Briefly explain specifically why categorical and quantitative variables require different methods in order to describe their distributions. A correct answer will accurately address BOTH types of variables and clearly explain the REASONS these two types of variables REQUIRE different methods. Be sure to address WHY the methods differ not just WHAT methods are used in each case.

1 For each of the following variables, identify the type of variable (numeric or categorical) and...

1 For each of the following variables, identify the type of variable (numeric or categorical) and level of measurement (nominal, ordinal, interval, or ratio). a. Business size (micro, small, medium, large) b. Airplane ticket price 2 Consider the following sample of data: 1.2 28.4 32.6 17.0 13.5 2.2 38.0 41.4 1.9 14.4 21.8 23.8 a. Calculate the quartiles. b. Calculate the average c. Calculate the standard deviation. 3 Given the following ﬁve-number summary, are there any outliers in the data? Min:...

Models with Categorical Variables A study was done to determine whether the gender of the credit...

Models with Categorical Variables A study was done to determine whether the gender of the credit card holder was an important factor in generating profit for a certain credit card company. The independent variables considered were income, the number of family members, and gender of the card holder. The data can be found in the Excel file “CreditCard.” Run a multiple regression in Minitab to answer the following questions. The Gender dummy variable was created using Male as the base....

3.For each of the following variables, determine whether the variable is categorical or numerical. If the...

3.For each of the following variables, determine whether the variable is categorical or numerical. If the variable is numerical, determine whether the variable is discrete or continuous. In addition, determine the measurement scale. a. Time comma in hours comma spent surfing the Internet per week b. Whether the individual uses a mobile phone to connect to the Internet c. Number of hamburgers ordered in a week d. Where the individual uses social networks to find sought dash after information e....

What is the difference between categorical data and quantitative data? Provide examples of each. Identify a...

What is the difference between categorical data and quantitative data? Provide examples of each. Identify a pair of quantitative variables that are positively correlated, and identify a pair of variables that are negatively correlated. Explain the selection of each pair.

Determine if each variable included in the data set is quantitative (continuous, numerical) or qualitative (categorical)...

Determine if each variable included in the data set is quantitative (continuous, numerical) or qualitative (categorical) and then give its level of measurement: Gender Age Marital Status Highest education level Weight Height Rate general health Rate physical fitness Rate current weight Do you smoke How many cigarettes per day How many alcoholic drinks per day How many caffeine drinks per day Hours sleep week nights Hours sleep weekends How many hours sleep needed Trouble falling asleep? Trouble staying asleep Wake...