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Froggy Jumps

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Time Series Data Analysis

Créé par

AKMAL SHAFIQ BADARUL AZAM

Malaysia

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#	Jeux	Précision	temps
1	AKMAL SHAFIQ BADARUL AZAM 14 Mai 2026	% 100	01:28
2	Geebella 13 Décembre 2025	% 80	01:43
3	mario 13 Décembre 2025	% 80	01:48
4	Ather 26 Mai 2025	% 70	01:31
5	atiqah 13 Décembre 2025	% 60	02:34

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Froggy Jumps STA JumpVersion en ligne Time Series Data Analysis par AKMAL SHAFIQ BADARUL AZAM 1 Time series data is collected and recorded at: a Random points in time b Regular intervals c Only yearly intervals 2 Seasonality in a time series refers to: a One-time events b Patterns that repeat irregularly c Patterns that repeat at regular intervals 3 A trend in time series data reflects: a Short-term fluctuations b Long-term movements c Seasonal changes 4 Irregular variation in time series data is: a Predictable using past data b Unpredictable and caused by unforeseen events c Caused by seasonal effects 5 Cyclical variation is often related to: a Business and economic cycles b Daily weather changes c Seasonal holidays 6 Increasing ice cream sales every summer is an example of: a Seasonal variation b Trend c Irregular variation 7 Cyclical variation occurs over: a Fixed and regular time intervals b Unpredictable random times c Variable intervals related to economic conditions 8 An increase in mobile phone usage over years is an example of: a Seasonal variation b Irregular variation c Trend 9 Power outage during exam week is considered: a Seasonal variation b Cyclical variation c Irregular variation 10 Seasonal variation is only caused by: a Weather changes b Holidays, festivals, and academic terms c Random events

Froggy Jumps

STA JumpVersion en ligne

Time Series Data Analysis

par AKMAL SHAFIQ BADARUL AZAM

Time series data is collected and recorded at:

Random points in time

Regular intervals

Only yearly intervals

Seasonality in a time series refers to:

One-time events

Patterns that repeat irregularly

Patterns that repeat at regular intervals

A trend in time series data reflects:

Short-term fluctuations

Long-term movements

Seasonal changes

Irregular variation in time series data is:

Predictable using past data

Unpredictable and caused by unforeseen events

Caused by seasonal effects

Cyclical variation is often related to:

Business and economic cycles

Daily weather changes

Seasonal holidays

Increasing ice cream sales every summer is an example of:

Seasonal variation

Trend

Irregular variation

Cyclical variation occurs over:

Fixed and regular time intervals

Unpredictable random times

Variable intervals related to economic conditions

An increase in mobile phone usage over years is an example of:

Seasonal variation

Irregular variation

Trend

Power outage during exam week is considered:

Seasonal variation

Cyclical variation

Irregular variation

Seasonal variation is only caused by:

Weather changes

Holidays, festivals, and academic terms

Random events

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STA Jump

Froggy Jumps

À propos de cette activité

Créé par

Téléchargez la version pour jouer sur papier

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Froggy Jumps

STA JumpVersion en ligne

par AKMAL SHAFIQ BADARUL AZAM

Time series data is collected and recorded at:

Seasonality in a time series refers to:

A trend in time series data reflects:

Irregular variation in time series data is:

Cyclical variation is often related to:

Increasing ice cream sales every summer is an example of:

Cyclical variation occurs over:

An increase in mobile phone usage over years is an example of:

Power outage during exam week is considered:

Seasonal variation is only caused by:

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