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Classifying Data, SM-Bank 024 MC

The school canteen wishes to conduct a survey to find out the preferred sandwich fillings of students so they can ensure they are catering to the likes of the students.

Which of the following survey options would provide the most useful information.

  1. A survey of all students in year 8.
  2. A survey of the total school population.
  3. A survey of 20 boys from each year group.
  4. A survey of 25 students from each year group who regularly buy their lunch at the canteen.
Show Answers Only

\(D\)

Show Worked Solution

\(\text{Considering each option:}\)

A.   \(\text{Not representative of the whole school population.}\)
B. \(\text{Not necessary to survey students who do not use the canteen.}\)
C. \(\text{Not representative of the whole school population.}\)
D. \(\text{Students from each year who use the canteen are surveyed,}\)
  \(\text{so representative of the whole population of canteen users. }\checkmark \)

 

\(\Rightarrow D\)

Filed Under: Classifying Data Tagged With: num-title-ct-core, smc-5075-5-Sampling Methods

Classifying Data, SM-Bank 023 MC

Which of the following would be best conducted as a sample?

  1. The heights of players in the school basketball team.
  2. The number of people attending the 3 pm session of the latest Marvel movie in Gold Class at the local cinema on Friday.
  3. The number of bottles of water were sold at the school athletics carnival.
  4. The most popular streaming platform in Australia.
Show Answers Only

\(D\)

Show Worked Solution

\(\text{Considering each option:}\)

\(\text{A.  You could measure the all players }\longrightarrow\ \text{Census}\)

\(\text{B.  This information would be available from ticket sales }\longrightarrow\ \text{Census}\)

\(\text{C.  Could be determined exactly with a stocktake of remaining bottles }\longrightarrow\ \text{Census}\)

\(\text{D.  It would not be possible to interview every household to determine popularity }\longrightarrow\ \text{Sample}\)
 

\(\Rightarrow D\)

Filed Under: Classifying Data Tagged With: num-title-ct-core, smc-5075-5-Sampling Methods

Classifying Data, SM-Bank 022

Explain the difference between a census and a sample.  (2 marks)

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\(\text{A census surveys the whole population.}\)

\(\text{A sample surveys a section of the population.}\)

Show Worked Solution

\(\text{A census surveys the whole population.}\)

\(\text{A sample surveys a section of the population.}\)

Filed Under: Classifying Data Tagged With: num-title-ct-core, smc-5075-5-Sampling Methods

Classifying Data, SM-Bank 021

Explain why a door-to-door survey conducted between the hours of 9 am and 3 pm on a Tuesday may not give results representative of the population.  (2 marks)

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\(\text{It would not be representative of the whole community.}\)

\(\text{For example day workers and school children would not be included.}\)

Show Worked Solution

\(\text{It would not be representative of the whole community.}\)

\(\text{For example day workers and school children would not be included.}\)

Filed Under: Classifying Data Tagged With: num-title-ct-core, smc-5075-5-Sampling Methods

Classifying Data, SM-Bank 120

The local council is researching possible uses for a large area of land close to an established housing development.

One of the options for the land is a football stadium with a crowd capacity of \(30\ 000\) people.

The council is considering surveying people as they exit an existing football stadium in a neighbouring town.

Give a reason why this survey may not provide reliable data.  (2 marks)

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  • \(\text{Could be biassed towards people who like football}\)
  • \(\text{Should be conducted within the town where the impact will be felt}\)
Show Worked Solution
  • \(\text{Could be biassed towards people who like football}\)
  • \(\text{Should be conducted within the town where the impact will be felt}\)

Filed Under: Classifying Data Tagged With: num-title-ct-core, smc-5075-5-Sampling Methods

Classifying Data, SM-Bank 019

Min is writing a report regarding the capacity of dams in NSW during 2023 projecting in to 2024. He wishes to include rainfall data for the previous 12 months in each of the catchment areas.

Should Min use primary or secondary sources to obtain this informaiton? Give a reason for your answer.  (2 marks)

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\(\text{Secondary Source data}\)

\(\text{Reason: See worked example}\)

Show Worked Solution

\(\text{Secondary source data.}\)

\(\text{It would not be possible for Min to collect this information}\)

\(\text{himself so he would therefore need to rely on already existing}\)

\(\text{secondary source data.}\)

Filed Under: Classifying Data Tagged With: num-title-ct-core, smc-5075-5-Sampling Methods

Classifying Data, SM-Bank 018

Michael is conducting a survey to determine whether his clients are happy with the customer service they receive at his restaurant.

Should Michael use primary or secondary source data for his survey? Give a reason for your answer.  (2 marks)

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\(\text{Primary Source data}\)

\(\text{Reason: See worked example}\)

Show Worked Solution

\(\text{Primary source data.}\)

\(\text{Michael would survey his actual customers}\)

\(\text{to obtain their opinions and is therefore using}\)

\(\text{primary source data.}\)

Filed Under: Classifying Data Tagged With: num-title-ct-core, smc-5075-5-Sampling Methods

Classifying Data, SM-Bank 017

Explain the difference between continuous and discrete data, giving an example of each.  (3 marks)

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\(\text{See worked example}\)

Show Worked Solution

\(\text{Discrete can be assigned a numerical value and can}\)

\(\text{usually be counted.}\)

\(\text{Examples could include:} \)

  • \(\text{The number of people living in a household}\)
  • \(\text{The number of people catching the 4:10 pm train}\)
  • \(\text{The number of cars park at Westfield on Monday}\)

\(\text{Continuous data can be assigned any value in a range}\)

\(\text{and usually involves a measurements.}\)

\(\text{Examples could include:} \)

  • \(\text{The weights of parcels at the post office}\)
  • \(\text{The heights of students in Year 7}\)
  • \(\text{The temperatures recorded at Sydney during March}\)

Filed Under: Classifying Data Tagged With: num-title-ct-core, smc-5075-15-Numerical

Classifying Data, SM-Bank 016 MC

The following question was asked in a survey.

'What month were you born?'

How would the responses be classified?

  1. Categorical, ordinal
  2. Categorical, nominal
  3. Numerical, discrete
  4. Numerical, continuous
Show Answers Only

\(A\)

Show Worked Solution

\(\text{Months are names and so categorical data and}\)

\(\text{they are ordered}\)

\(\longrightarrow\ \text{Categorical, ordinal.}\) 

\(\Rightarrow A\)

Filed Under: Classifying Data Tagged With: num-title-ct-core, smc-5075-10-Categorical

Classifying Data, SM-Bank 015 MC

Organisers were choosing relay teams for the regional athletics carnival.

They asked the following question.

'What were the times for the 15 Years boys relay teams at zone athletics carnivals?'

How would the responses be classified?

  1. Categorical, ordinal
  2. Categorical, nominal
  3. Numerical, discrete
  4. Numerical, continuous
Show Answers Only

\(D\)

Show Worked Solution

\(\text{The times recorded are measurements}\)

\(\text{so all numbers on the scale are possible}\)

\(\longrightarrow\ \text{Numerical, continuous.}\) 

\(\Rightarrow D\)

Filed Under: Classifying Data Tagged With: num-title-ct-core, smc-5075-15-Numerical

Classifying Data, SM-Bank 014 MC

Which of the following is an example of categorical nominal data?

  1. Gold, Silver, Bronze medals
  2. Small, Medium, Large
  3. French Bulldog, Poodle, Cavoodle
  4. First place, Second place
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\(C\)

Show Worked Solution

\(\text{French Bulldog, Poodle and Cavoodle are types of dogs (order not important) }\)

\(\longrightarrow\ \text{categorical nominal}\)

\(\Rightarrow C\)

Filed Under: Classifying Data Tagged With: num-title-ct-core, smc-5075-10-Categorical

Classifying Data, SM-Bank 013

Which of the following is an example of categorical ordinal data?

  1. Pink, Blue, Mauve
  2. Small, Medium, Large
  3. Apple, Pear, Orange
  4. Labrador, Beagle, Poodle
Show Answers Only

\(B\)

Show Worked Solution

\(\text{Small, Medium, Large are categories with an order }\longrightarrow\ \text{categorical ordinal}\)

\(\Rightarrow B\)

Filed Under: Classifying Data Tagged With: num-title-ct-core, smc-5075-10-Categorical

Classifying Data, SM-Bank 012

Which of the following is an example of numerical continuous data?

  1. The weights of babies born in a hospital during the month of May
  2. The types of cars sold at a car yard
  3. The number of funnel-web spiders collected by the Australian Reptile Park in 2023
  4. The colours used in the American flag
Show Answers Only

\(A\)

Show Worked Solution

\(\text{Weights are measurements (quantitative) }\longrightarrow\ \text{numerical continuous}\)

\(\Rightarrow A\)

Filed Under: Classifying Data Tagged With: num-title-ct-core, smc-5075-15-Numerical

Classifying Data, SM-Bank 011 MC

Which of the following is an example of numerical discrete data?

  1. The minimum temperature in each capital city on Monday morning
  2. The number of competitors in a triathlon
  3. The different types of snakes in a reptile display
  4. The lengths of earth worms in a garden
Show Answers Only

\(B\)

Show Worked Solution

\(\text{The number of competitors in a triathlon can be counted }\longrightarrow\ \text{numerical discrete}\)

\(\Rightarrow B\)

Filed Under: Classifying Data Tagged With: num-title-ct-core, smc-5075-15-Numerical

Classifying Data, SM-Bank 010

State whether the following categorical data is nominal or ordinal.

  1. Rating exam questions as easy or hard.  (1 mark)

    --- 1 WORK AREA LINES (style=lined) ---

  2. Listing the colours of cars passing the bus stop during period 3.  (1 mark)

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  3. Recording dietary preferences such as vegan, gluten-free, vegetarian.  (1 mark)

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  4. Receiving an A, B, C, D or E on a report card.  (1 mark)

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a.    \(\text{Ordinal}\)

b.    \(\text{Nominal}\)

c.    \(\text{Nominal}\)

d.    \(\text{Ordinal}\)

Show Worked Solution

a.    \(\text{The data is ranked}\ \longrightarrow\ \text{Ordinal}\)

b.    \(\text{Colours are the names assigned}\ \longrightarrow\ \text{Nominal}\)

c.    \(\text{Preferences are the names assigned}\ \longrightarrow\ \text{Nominal}\)

d.    \(\text{Grades rank the data}\ \longrightarrow\ \text{Ordinal}\)

Filed Under: Classifying Data Tagged With: num-title-ct-core, smc-5075-10-Categorical

Classifying Data, SM-Bank 009

State whether the following data is categorical or numerical.  If numerical, state whether discrete or continuous.

  1. The distance thrown by the 15 years javelin champion.  (1 mark)

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  2. The types of fruit used in a fruit salad.  (1 mark)

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  3. The number of students travelling to the Year 7 camp by bus.  (1 mark)

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a.    \(\text{Numerical continuous}\)

b.    \(\text{Categorical}\)

c.    \(\text{Numerical discrete}\)

Show Worked Solution

a.    \(\text{Data is a measurement}\ \longrightarrow\ \text{Numerical continuous}\)

b.    \(\text{Fruit is grouped into categories or types}\ \longrightarrow\ \text{Categorical}\)

c.    \(\text{Students can be counted}\ \longrightarrow\ \text{Numerical discrete}\)

Filed Under: Classifying Data Tagged With: num-title-ct-core, smc-5075-10-Categorical, smc-5075-15-Numerical

Classifying Data, SM-Bank 008

Match each variable with its classification on the right.  (2 marks)

\begin{array} {ll} \text{A.  Hair colour of students in Year 7} &\text{1.  Numerical discrete} \\\text{B.  Heights of players in the Boomers basketball team} & \text{2.  Categorical ordinal} \\\text{C.  The number of people living in each household in NSW}\  & \text{3.  Numerical continous}\\\text{D.  A, B, C, D, E grades on a report card}  & \text{4.  Categorical nominal}\end{array}

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\(\text{A}\longrightarrow 4,\ \text{B}\longrightarrow 3,\ \text{C}\longrightarrow 1,\ \text{D}\longrightarrow 2\)

Show Worked Solution

\(\text{A. Hair colour is data grouped in categories with no order}\)

\(\therefore\ \text{4. Categorical nominal}\)

\(\text{B. Heights are measurements which are numerical and continuous}\)

\(\therefore\ \text{3. Numerical continous}\)

\(\text{C. The people living in each household are counted}\)

\(\therefore\ \text{1. Numerical discrete}\)

\(\text{D. Grades on a report card are categorical but the order is important}\)

\(\therefore\ \text{2. Categorical ordinal}\)

Filed Under: Classifying Data Tagged With: num-title-ct-core, smc-5075-10-Categorical, smc-5075-15-Numerical

Classifying Data, SM-Bank 007

Classify the following as either categorical or numerical data. 

  1. The colours of the cars entering a shopping centre.  (1 mark)

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  2. The temperatures recorded in Brisbane over a 2 week period.  (1 mark)

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a.    \(\text{categorical}\)

b.    \(\text{numerical}\)

Show Worked Solution

a.    \(\text{Colours of cars are words therefore categorical.}\)

b.    \(\text{Temperatures are measurements therefore numerical.}\)

Filed Under: Classifying Data Tagged With: num-title-ct-core, smc-5075-10-Categorical, smc-5075-15-Numerical

Classifying Data, SM-Bank 006 MC

Which of the following is not an example of categorical data?

  1. A list of religions
  2. Colours of the rainbow
  3. Fruits in a smoothie
  4. Heights of children in Year 8
Show Answers Only

\(D\)

Show Worked Solution

\(\text{Heights are quantitative (measurements) and therefore not categorical.}\)

\(\Rightarrow D\)

Filed Under: Classifying Data Tagged With: num-title-ct-core, smc-5075-10-Categorical

Classifying Data, SM-Bank 005

What is the term used to describe data that is grouped in categories such as gold, silver and copper?  (1 mark)

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\(\text{Categorical}\)

Show Worked Solution

\(\text{The term for data that is not numerical is categorical.}\)

Filed Under: Classifying Data Tagged With: num-title-ct-core, smc-5075-10-Categorical

Classifying Data, SM-Bank 004 MC

The variables age (under 55 years, 55 years and over) and preferred travel destination (domestic, international) are

  1. both categorical variables.
  2. both numerical variables.
  3. a numerical variable and a categorical variable respectively.
  4. a categorical variable and a numerical variable respectively.
Show Answers Only

\(A\)

Show Worked Solution

\(\text{Age is a categorical ordinal variable}\)

\(\text{because it is categorical data that can}\)

\(\text{have an order.}\)

\(\text{Preferred travel destination is a categorical}\)

\(\text{nominal value because the data has a name.}\)
 

\(\Rightarrow A\)

Filed Under: Classifying Data Tagged With: num-title-ct-core, smc-5075-10-Categorical, smc-5075-15-Numerical

Classifying Data, SM-Bank 003

The variables blood pressure (low, normal, high) and age (under 50 years, 50 years or over) are

  1. both nominal variables.
  2. both ordinal variables.
  3. a nominal variable and an ordinal variable respectively.
  4. an ordinal variable and a nominal variable respectively.
Show Answers Only

\(B\)

Show Worked Solution

\(\text{Blood pressure is an ordinal variable}\)

\(\text{because it is categorical data that can}\)

\(\text{have an order.}\)

\(\text{Under 50 and over 50, likewise, is an}\)

\(\text{ordinal variable.}\)
 

\(\Rightarrow B\)

Filed Under: Classifying Data Tagged With: num-title-ct-core, smc-5075-10-Categorical, smc-5075-15-Numerical

Classifying Data, SM-Bank 002 MC

The variables recovery time after exercise (in minutes) and fitness level (below average, average, above average) are

  1. both numerical.
  2. an ordinal variable and a nominal variable respectively.
  3. a numerical variable and a nominal variable respectively.
  4. a numerical variable and an ordinal variable respectively.
Show Answers Only

\(D\)

Show Worked Solution

\(\text{Recovery time in minutes → numerical variable}\)

\(\text{Fitness level → ordinal (categories that can be ordered)}\)

\(\Rightarrow D\)

Filed Under: Classifying Data Tagged With: num-title-ct-core, smc-5075-10-Categorical, smc-5075-15-Numerical

Classifying Data, SM-Bank 001 MC

The variables

region (city, urban, rural)

population density (number of people per square kilometre)

  1. are both categorical.
  2. are both numerical. 
  3. are categorical and numerical respectively.
  4. are numerical and categorical respectively.
Show Answers Only

\(C\)

Show Worked Solution

\(\text{Region is a categorical variable and population}\)

\(\text{density is a numerical variable (i.e. it can be}\)

\(\text{represented by countable numbers).}\)

\(\Rightarrow C\)

Filed Under: Classifying Data Tagged With: num-title-ct-core, smc-5075-10-Categorical, smc-5075-15-Numerical

Statistics, STD1 S1 2021 HSC 2 MC

A survey of which of the following would provide data that are both categorical and
nominal?

  1. Hair colour
  2. Height in centimetres
  3. Number of people present at a concert
  4. Size of coffee cup classified as small, medium or large
Show Answers Only

`A`

Show Worked Solution

`text(By elimination:)`

♦♦ Mean mark 25%.

`text{Qualitative (not quantitative)}`

`text{→ Eliminate B and C}`

`text(Nominal data is not ordered)`

`text{→ Eliminate D}`

`=> A`

Filed Under: Classifying Data, Classifying Data (Std 1), Classifying Data (Std 2), Data Classification, Investigation and Sampling Methods (Std2-2027) Tagged With: Band 5, num-title-ct-core, num-title-qs-hsc, smc-1127-20-Classifying Data, smc-4223-30-Categorical data, smc-5075-10-Categorical, smc-6309-20-Data Classification, smc-820-20-Classifying Data

Statistics, STD2 S1 SM-Bank 1 MC

A survey asked the following question for students born in Australia:

"Which State or Territory were you born in?"

How would the responses be classified?

  1. Categorical, ordinal
  2. Categorical, nominal
  3. Numerical, discrete
  4. Numerical, continuous
Show Answers Only

`B`

Show Worked Solution

`text{The data is categorical (not numerical) since}`

`text(the name of a State is required.)`

`text(This data cannot be ordered.)`

`=> B`

Filed Under: Classifying Data, Classifying Data (Std 1), Classifying Data (Std 2), Classifying Data (Y12), Data Classification, Investigation and Sampling Methods (Std2-2027) Tagged With: Band 3, common-content, num-title-ct-core, num-title-qs-hsc, smc-1127-20-Classifying Data, smc-5075-10-Categorical, smc-6309-20-Data Classification, smc-820-20-Classifying Data

Statistics, STD2 S1 2018 HSC 3 MC

A survey asked the following question.

'How many brothers do you have?'

How would the responses be classified?

  1. Categorical, ordinal
  2. Categorical, nominal
  3. Numerical, discrete
  4. Numerical, continuous
Show Answers Only

`text(C)`

Show Worked Solution

`text(The number of brothers a person has is)`

`text(an exact whole number.)`

`:.\ text(Classification is numerical, discrete.)`

`=>\ text(C)`

Filed Under: Classifying Data, Classifying Data (Std 1), Classifying Data (Std 2), Classifying Data (Y12), Data Classification, Investigation and Sampling Methods (Std2-2027) Tagged With: Band 4, common-content, num-title-ct-core, num-title-qs-hsc, smc-1127-20-Classifying Data, smc-5075-15-Numerical, smc-6309-20-Data Classification, smc-820-20-Classifying Data

Statistics, STD2 S1 2016 HSC 7 MC

Which set of data is classified as categorical and nominal?

  1. blue, green, yellow
  2. small, medium, large
  3. 5.2 cm, 6 cm, 7.21 cm
  4. 4 people, 5 people, 9 people 
Show Answers Only

`A`

Show Worked Solution

`text(Categorical and nominal data is)`

♦♦ Mean mark 26%.

`text(qualitative and not ordered.)`

`=> A`

Filed Under: Classifying Data, Classifying Data (Std 1), Classifying Data (Std 2), Classifying Data (Y12), Data Classification, Investigation and Sampling Methods (Std2-2027), DS1 - Stats and society Tagged With: Band 6, common-content, num-title-ct-core, num-title-qs-hsc, smc-1127-20-Classifying Data, smc-5075-10-Categorical, smc-6309-20-Data Classification, smc-820-20-Classifying Data

Statistics, STD2 S1 2015 HSC 4 MC

On a school report, a student’s record of completing homework is graded using the following codes.

C = consistently
U = usually
S = sometimes
R = rarely
N = never

What type of data is this?

  1. Categorical, ordinal
  2. Categorical, nominal
  3. Numerical, continuous
  4. Numerical, discrete
Show Answers Only

`A`

Show Worked Solution

`text(The data has been grouped into categories and)`

`text(because each category can be ranked, it is ordinal.)`

`⇒ A`

Filed Under: Classifying Data, Classifying Data (Std 1), Classifying Data (Std 2), Classifying Data (Y12), Data Classification, Investigation and Sampling Methods (Std2-2027), DS1 - Stats and society Tagged With: Band 4, common-content, num-title-ct-core, num-title-qs-hsc, smc-1127-20-Classifying Data, smc-5075-10-Categorical, smc-6309-20-Data Classification, smc-820-20-Classifying Data

Statistics, STD2 S1 2009 HSC 3 MC

The eye colours of a sample of children were recorded.

When analysing this data, which of the following could be found?

  1. Mean
  2. Median
  3. Mode
  4. Range
Show Answers Only

`C`

Show Worked Solution

`text(Eye colour is categorical data)`

`:.\ text(Only the mode can be found)`

`=>  C`

Filed Under: Classifying Data, Classifying Data (Std 1), Classifying Data (Std 2), Classifying Data (Y12), Data Analysis, Data Classification, Investigation and Sampling Methods (Std2-2027), DS1 - Stats and society, Measures of Centre and Spread (Std2-2027), Summary Statistics - No Graph (Std 2), Summary Statistics - No graph (Y12), Summary Statistics (no graph), Summary Statistics (Std 1) Tagged With: Band 3, common-content, num-title-ct-core, num-title-qs-hsc, smc-1127-20-Classifying Data, smc-1131-10-Mean, smc-1131-20-Median and Mode, smc-4224-45-Mean/median/mode/range, smc-5075-10-Categorical, smc-6309-20-Data Classification, smc-6312-10-Mean, smc-6312-20-Median and Mode, smc-820-20-Classifying Data, smc-824-10-Mean, smc-824-20-Median and Mode, smc-999-10-Mean, smc-999-20-Median and Mode

Statistics, STD2 S1 2013 HSC 8 MC

A high school has 100 students in each year group, Year 7 to Year 12. A survey is to be conducted to determine the average number of text messages sent per month by students at the school.

Which of the following would provide the most representative sample for this survey?

  1. All Year 7 students
  2. All physics students in Year 11 and 12
  3. 20 students chosen at random from each year group
  4. 120 students chosen at random from the school roll
Show Answers Only

`C`

Show Worked Solution

`text(The best sample would have an equal amount)`

`text(of people in each year randomly selected.)`

`=>\ C`

Filed Under: Classifying Data, Classifying Data (Std 1), Classifying Data (Std 2), Data Classification, Investigation and Sampling Methods (Std2-2027), DS1 - Stats and society Tagged With: Band 2, common-content, num-title-ct-core, num-title-qs-hsc, smc-1127-10-Sampling Methods, smc-5075-5-Sampling Methods, smc-6309-10-Sampling Methods, smc-820-10-Sampling Methods

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