When p value is less then alpha then we will

• A) Reject the Null Hypothesis
• B) Don’t Reject the Null Hypothesis
• C)
• D)

P- value for the left tail test is

• A) Left tailed Test: P-value =NORM.S.DIST(${z_\alpha }$, TRUE)
• B) Left tailed Test: P-value =1 - NORM.S.DIST(${z_\alpha }$, TRUE)
• C)
• D)

QQ plot is used to check

• A) Normality
• B) Mean
• C)
• D)

P- value for the two tailed test is

• A) Two tailed Test: P-value = $2(1 - NORM.S.DIST( \left| {{z_\alpha }} \right|, TRUE)$
• B) Two tailed Test: P-value = $1 - NORM.S.DIST( \left| {{z_\alpha }} \right|, TRUE)$
• C)
• D)

If the sample size is less then 30 and the standard deviation is unknown then we will apply

• A) T-test
• B) Both a and b
• C) Z- test
• D) F-test

Do not rejecting the null hypothesis when it's actually false is

• A) Level of significance
• B) Power of a test
• C) Type II error
• D) Type I error

Test statistics for Z-test is

• A) $z = \frac{{\mu - \bar x}}{{\frac{\sigma }{{\sqrt n }}}}$
• B) $z = \frac{{\bar x - x}}{{\frac{\sigma }{{\sqrt n }}}}$
• C) $z = \frac{{\bar x - \mu }}{{\frac{\sigma }{{\sqrt n }}}}$
• D) $z = \frac{{\bar x + \mu }}{{\frac{\sigma }{{\sqrt n }}}}$

F test is used for

• A) Three and more than three means testing
• B) Singles or two mean testing
• C)
• D)

A …… can only be used if the population standard deviation is known

• A) Z- test
• B) T-test
• C)
• D)

Alternative hypothesis is denoted by

• A) ${H_0}$
• B) ${H_1}$
• C)
• D)

Null hypothesis is denoted by

• A) ${H_0}$
• B) ${H_1}$
• C)
• D)

If Many of the Observation lies on the line or closest to the line

• A) Doesn’t follows the Normal distribution
• B) Follows the Normal distribution
• C)
• D)

There are basically …. types of errors

• A) Three
• B) Two
• C) Four
• D) Five

Z-test and T-test are used for

• A) Singles or two mean testing
• B) Three and more then three means
• C)
• D)

=NORM.S.DIST function. Returns the

• A) Chi distribution
• B) Standard normal distribution
• C) Normal distribution
• D) Poisson distribution

Function to generate random numbers from normal distribution is

• A) =NORM.INV(rand(), mean, standard deviation)
• B) =NORM.INV(rand(), standard deviation, mean)
• C) =NORM.INV(rand(), mean, median)
• D) =NORM.S.DIST(rand(), mean, variance)

Standard normal distribution has a mean ….. and a standard deviation …..

• A) Zero, One
• B) One, Two
• C) Zero, Two
• D) One, Zero

Rejecting the null hypothesis when it's actually true is

• A) Type II error
• B) Type I error
• C) Level of significance
• D) Power of a test

If the sample size is large (n>30) and the standard deviation is unknown then we will apply

• A) Z- test
• B) F-test
• C)
• D)

Function to generate random numbers from normal distribution is

• A) =NORM.INV(rand(), standard deviation, mean)
• B) =NORM.INV(rand(), mean, median)
• C) =NORM.INV(rand(), mean, standard deviation)
• D) =NORM.S.DIST(rand(), mean, variance)