Question

**

Q1/ Identify each of the following statistics as either descriptive or inferential. For each, give a reason to support your response.

1 The average age of students in our statistics class is 20 years old.

2 The average age of undergraduate students in the CUNY system is 20 years old.

3 Seventy-three percent of sixth-graders have cell-phones.   

4 The salary of LeBron James is greater than the average salary of his teammates.   

5 Eighteen of the twenty three eighth-graders in Mr. Robson's algebra class have smart phones.

6 Less than 50% of all american households have two televisions.

Q2/ Classify the following data as nominal, ordinal, interval or ratio. For each, give a reason to support your response.

1   Date of high-school graduation

2   The numbers on the Lakers' jerseys

3   Ranking of the planets by distance from sun

4   Distance of planets from sun

5   Height of children in an elementary school

6   Waiting number at DMV

7   Year at high-school

8   Weight of chickens at a poultry farm

9   Longitude of stars in the night sky

10 Social security number

**Please make it clear so I can understand it.....Thank you

Answer 1

Ans.

firstly we know what is Descriptive statistics and Inferential statistics

Descriptive statistics: It is a statistics summarized the data .

the measures are population Average, median,mode,graphs

Inferential Statistics: it gives inference about data from sample

the measures are samples,sample averages

Q.1)

1)Descriptive statistics: because it is a average of total class means population.

2)Descriptive statistics: because it is a average of total undergraduate students in CUNY means population.

3)Inferential Statistics: because it is informative gives in percentages.it is no. whose reflect information.

4)Inferential Statistics: because he gives comparision of salary it is a informative.

5)Descriptive Statistics: it is information about whole american population therefore it is a Descriptive statistics.

Q.2)

first know

Nominal Scale:defined as a scale used for labeling variables into distinct classifications and doesn’t involve a quantitative value or order

Ordinal Scale:defined as a variable measurement scale used to simply depict the order of variables

Interval Scale:defined as a numerical scale where the order of the variables is known as well as the difference between these variables.this data contain date,time.

Interval Scale Examples

• There are situations where attitude scales are considered to be interval scales.
• Apart from the temperature scale, time is also a very common example of interval scale as the values are already established, constant and measurable.
• Calendar years and time also fall under this category of measurement scales.
• Likert scale, Net Promoter Score, Semantic Differential Scale, Bipolar Matrix Table etc. are the most-used interval scale examples.

Ratio Scale: defined as a variable measurement scale that not only produces the order of variables but also makes the difference between variables known along with information on the value of true zero

1)Interval Scale: contain Numerical data and date.

2)Interval scale: because it contain information.

3)Ordinal Scale: its contain order sun,jupiter etc.

4)Interval Scale; it may be 1-2 light year etc.

5)Ratio Scale: because it may be lass than 5 ft,between 5-6 then its ratio.

6)Ratio Scale: because it may be lass than 5 ft,between 5-6 then its ratio.

7)Interval Scale: contain year

8)Ratio Scale: because it may be lass than 5 ft,between 5-6 then its ratio

9)Interval Scale: it is may be no.

10)interval scale: it is numerical value.