In a hypothesis test, the probability of making the wrong decision when the null hypothesis is true is called Option 1: Cofidence level Option 2: Cofidence interval Option 3: significance level Option 4: standard error

The answer is 'significance level'. View full solution:

CUET Mathematics - In a hypothesis test, the probability of making the wrong decision when the null hypothesis is true is called | PYQs + Solutions

CUET Mathematics 2026 14th May Shift 2

Applied Mathematics

Easy

applied

Cofidence level

Cofidence interval

significance level

standard error

✅ Correct Option: 3

Related questions:

15 June Shift 2

Which of the following statements are true ?

(A) Central limit theorem states that the sampling distribution of the mean $(\bar{x})$ approaches a normal distribution as the sample size increases.

(B) As per Central Limit Theorem, when the sample size increases, the mean $(\bar{x})$ for the data becomes closer to the mean of overall population.

Choose the correct answer from the options given below :

23 May Shift 3

In the formula for Z-test statistic $Z = \frac{\bar{x} - \mu_0}{\frac{\sigma}{\sqrt{n}}}$ , mark the incorrect statement.

23 May Shift 3

The following data is available for two independent sample:

	SAMPLE-1	SAMPLE-2
sample size	8	10
sample mean	191	199
sample standard deviation	10	12

Then the value of t-statistic is :

CUET Mathematics 2026 14th May Shift 2 PYQs

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