Chapter 6 Analysis Of Time Series Statistics 12th Class Punjab MCQ Tests
12th Class Statistics Chapter 6 MCQ Tests
Chapter 6 of 12th Class Statistics has 16 questions. If you take an online MCQ test, the system will randomly choose the questions. If you want to take the quiz by chapter then click the start test button.
Total Questions: 16
Total Marks: 16
Time: 20 Mins
Total Questions: 16
Total Marks: 16
Time: 20 Mins
20Min : 00 Sec Remaining
Question # 1
The graph of time series is called:
Question # 2
Moving average is extremely useful in forecasting in case of:
Question # 3
Find the trend line from the following data using semi-average method:
Question # 4
A time series consists of variations of form:
Question # 5
A complete cycle passes through how many stages?
Question # 6
In time series seasonal variations can occur within a period of:
Question # 7
The data is divided into two equal parts in:
Question # 8
Assume that a time series with annual data for the years 1988-1996 is described well by the second degree equation Y=5+3X+9X2. Based only on this secular trend, what is the forecast value for 1997?
Question # 9
The secular trend is measured by the method of semi-averages when:
Question # 10
Adjacent observations in time series data (excluding white noise) are independent and identically distributed (IID). Tis statement is:
Question # 11
The following are the productions in corresponding year of one local company. Fit a parabolic trend.
Question # 12
Which of the following is an example of time series problem?
1. Estimating number of hotel rooms booking in next 6 months.
2. Estimating the total sales in next 3 years of an insurance company.
3. Estimating the number of calls for the next one week.
Question # 13
Suppose, you are a data scientist and you observed the views on the articles increases during the months of Jan-Mar. Whereas the views during Nov-Dec decrease. Does the above statement represent seasonality?
Question # 14
what is the value of b in estimating a 2nd degree parabola for the years 1960-1967?
Question # 15
Secular trend can be measured by:
Question # 16
An orderly set of data arranged in accordance with their time of occurrence is known as:
Total Questions
12345678910111213141516
Question # 1
The graph of time series is called:
Question # 2
Moving average is extremely useful in forecasting in case of:
Question # 3
Find the trend line from the following data using semi-average method:
Question # 4
A time series consists of variations of form:
Question # 5
A complete cycle passes through how many stages?
Question # 6
In time series seasonal variations can occur within a period of:
Question # 7
The data is divided into two equal parts in:
Question # 8
Assume that a time series with annual data for the years 1988-1996 is described well by the second degree equation Y=5+3X+9X2. Based only on this secular trend, what is the forecast value for 1997?
Question # 9
The secular trend is measured by the method of semi-averages when:
Question # 10
Adjacent observations in time series data (excluding white noise) are independent and identically distributed (IID). Tis statement is:
Question # 11
The following are the productions in corresponding year of one local company. Fit a parabolic trend.
Question # 12
Which of the following is an example of time series problem?
1. Estimating number of hotel rooms booking in next 6 months.
2. Estimating the total sales in next 3 years of an insurance company.
3. Estimating the number of calls for the next one week.
Question # 13
Suppose, you are a data scientist and you observed the views on the articles increases during the months of Jan-Mar. Whereas the views during Nov-Dec decrease. Does the above statement represent seasonality?
Question # 14
what is the value of b in estimating a 2nd degree parabola for the years 1960-1967?
Question # 15
Secular trend can be measured by:
Question # 16
An orderly set of data arranged in accordance with their time of occurrence is known as:
Total Questions
12345678910111213141516
Statistics MCQ Test by Topics
Statistics
- Representation and Exploration of Data
- Measure of Central Tendency or Averages
- Measures of Dispersion
- Index Numbers
- Regression and Correlation Analysis
- Analysis of Time Series
- Set Theory
- Introduction to Probability
- Random Variables and Distributions
- Binomial and Hypergeometric Distributions
- The Normal Distribution
- Sampling and Sampling Distributions
- Statistical Inference:Estimation
- Statistical Inference:Hypothesis Testing
- Association of Attributes
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Updated on: 10-05-2026
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