Statistical =FORECAST.ETS.CONFINT(target_date, values, timeline, [confidence_level], [seasonality], [data_completion], [aggregation])

Quiz =FORECAST.ETS.CONFINT — 10 Questions

10 quiz questions about =FORECAST.ETS.CONFINT — test syntax, arguments, examples & errors!

Questions: 10 questions 15 questions Random 10 or 15 questions from the pool + shuffled options each time

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Progress — 10 questions 1 of 10

Question 1 of 10 1/10

What is the type of argument “seasonality” in =FORECAST.ETS.CONFINT?

Question 2 of 10 2/10

Which function is related to =FORECAST.ETS.CONFINT?

Question 3 of 10 3/10

What is the fix for #N/A in =FORECAST.ETS.CONFINT?

Question 4 of 10 4/10

Is argument “confidence_level” required in =FORECAST.ETS.CONFINT?

Question 5 of 10 5/10

How many arguments does =FORECAST.ETS.CONFINT have in total?

Question 6 of 10 6/10

What is the fix for #VALUE! in =FORECAST.ETS.CONFINT?

Question 7 of 10 7/10

What is the type of argument “target_date” in =FORECAST.ETS.CONFINT?

Question 8 of 10 8/10

What usually causes #VALUE! in =FORECAST.ETS.CONFINT?

Question 9 of 10 9/10

Which is the correct syntax of =FORECAST.ETS.CONFINT?

Question 10 of 10 10/10

In =FORECAST.ETS.CONFINT, which is argument #3?

Click a question to see the answer.

1. What is the type of argument “seasonality” in =FORECAST.ETS.CONFINT?

A. Mixed
B. Text
C. Number ✓
D. Date

Explanation: Type of “seasonality” is “Number”.

2. Which function is related to =FORECAST.ETS.CONFINT?

A. FORECAST-ETS ✓
B. CUBERANKEDMEMBER
C. FIXED
D. BETADIST

Explanation: “FORECAST-ETS” is related to FORECAST.ETS.CONFINT.

3. What is the fix for #N/A in =FORECAST.ETS.CONFINT?

A. Make the two ranges the same size ✓
B. خط زمانی شامل مقادیر تکراری است.
C. Output is always a dynamic array
D. Select entire column for best performance

Explanation: If the ranges of the timeline and values aren't of same size, FORECAST.ETS.CONFINT will return the #N/A error. — Fix: Make the two ranges the same size

4. Is argument “confidence_level” required in =FORECAST.ETS.CONFINT?

A. —
B. No ✓
C. Yes
D. No

Explanation: “confidence_level” is optional.

5. How many arguments does =FORECAST.ETS.CONFINT have in total?

A. 7 ✓
B. 6
C. 8
D. 9

Explanation: =FORECAST.ETS.CONFINT has 3 required, 4 optional (7 total).

6. What is the fix for #VALUE! in =FORECAST.ETS.CONFINT?

A. مقادیر تکراری را از خط زمانی حذف کنید. ✓
B. Text is always ignored
C. اندازه محدوده‌های خط زمانی و مقادیر یکسان نیست.
D. Select entire column for best performance

Explanation: If timeline contains duplicate values, FORECAST.ETS.CONFINT will return the #VALUE! error. — Fix: مقادیر تکراری را از خط زمانی حذف کنید.

7. What is the type of argument “target_date” in =FORECAST.ETS.CONFINT?

A. Date ✓
B. Reference
C. Number
D. Value

Explanation: Type of “target_date” is “Date”.

8. What usually causes #VALUE! in =FORECAST.ETS.CONFINT?

A. Volatile and recalculates every time
B. Select entire column for best performance
C. Only works in old versions
D. If timeline contains duplicate values, FORECAST.ETS.CONFINT will return the #VALUE! error. ✓

Explanation: If timeline contains duplicate values, FORECAST.ETS.CONFINT will return the #VALUE! error. — Fix: مقادیر تکراری را از خط زمانی حذف کنید.

9. Which is the correct syntax of =FORECAST.ETS.CONFINT?

A. =FORECAST.ETS.CONFINT(target_date, values, timeline, [confidence_level], [seasonality], [data_completion], [aggregation]) ✓
B. =FORECAST-ETS(target_date, values, timeline, [confidence_level], [seasonality], [data_completion], [aggregation])
C. FORECAST.ETS.CONFINT(target_date, values, timeline, [confidence_level], [seasonality], [data_completion], [aggregation])
D. =FORECAST.ETS.CONFINT(target_date, values, timeline, [confidence_level], [seasonality], [data_completion], [aggregation], 0)

Explanation: Correct syntax: =FORECAST.ETS.CONFINT(target_date, values, timeline, [confidence_level], [seasonality], [data_completion], [aggregation])

10. In =FORECAST.ETS.CONFINT, which is argument #3?

A. values
B. confidence_level
C. seasonality
D. timeline ✓

Explanation: Argument #3 is “timeline”.