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Lecture S1C Replacement 1

Total questions: 34

Worksheet time: 20mins

Name
Class
Date
1.

Choose the correct sign

'probability more than 7'

a)

P(X>7)

b)

P(X<7)

c)

P(X≥7)

d)

P(X≤7)

2.

If X~Po(1.8), find P(2≤X≤4)

a)

0.4285

b)

0.7983

c)

0.5008

d)

0.7260

3.

The random variable Y has binomial distribution Y~B(10,0.4). Find P(3<Y<6)

a)

0.6665

b)

0.7779

c)

0.4515

d)

0.2508

4.
If the expected value is negative, are you expected to win?
a)
yes
b)
no
5.

for binomial @ poisson distribution,  P(X>4)P\left(X>4\right)  

a)

direct use stat. table

b)

 1−P(X≤4)1-P\left(X\le4\right)  

c)

 P(X≥5)P\left(X\ge5\right)  

6.

For discrete distribution, P(5<X<11)=?P\left(5<X<11\right)=? 



a)

 P(X≥6)−P(X≥11)P\left(X\ge6\right)-P\left(X\ge11\right)  

b)

 P(X≥5)−P(X≥10)P\left(X\ge5\right)-P\left(X\ge10\right)  

c)

 P(X≥6)−P(X≥12)P\left(X\ge6\right)-P\left(X\ge12\right)  

7.

Given probability density distribution,  P(1<X<3.2)P\left(1<X<3.2\right) is 

a)

 f(3.2)−f(1)f\left(3.2\right)-f\left(1\right)  

b)

 1−∫13.2f(x)dx1-\int_1^{3.2}f\left(x\right)dx  

c)

 ∫13.2f(x)dx\int_1^{3.2}f\left(x\right)dx  

8.

Given cumulative distribution for continuous random variables, find  P(X>2)P\left(X>2\right)  

a)

 F(2)F\left(2\right)  

b)

 1−F(2)1-F\left(2\right)  

c)

 ∫02f(x)dx\int_0^2f\left(x\right)dx  

9.

Given  F(x)F\left(x\right)  for discrete random variables, find  P(X<6)P\left(X<6\right)  

a)

 F(5)F\left(5\right)  

b)

 F(6)F\left(6\right)  

c)

 1−F(6)1-F\left(6\right)  

10.

Given X∼N(30,36)X\sim N\left(30,36\right)  , find  P(X<33)P\left(X<33\right)  

a)

0.5

b)

0.6915

c)

0.3085

11.

Given Z∼N(0,1)Z\sim N\left(0,1\right) , find  P(−0.13<Z<1.23)P\left(-0.13<Z<1.23\right)   

a)

 P(Z>1.23)−P(Z>0.13)P\left(Z>1.23\right)-P\left(Z>0.13\right)  

b)

 P(Z>0.13)−P(Z>1.23)P\left(Z>0.13\right)-P\left(Z>1.23\right)  

c)

 1−P(Z>0.13)−P(Z>1.23)1-P\left(Z>0.13\right)-P\left(Z>1.23\right)  

12.

Given Z∼N(0,1)Z\sim N\left(0,1\right) , find  P(∣Z∣>1.5)P\left(\left|Z\right|>1.5\right)   

a)

 P(Z>1.5)+P(Z<−1.5)P\left(Z>1.5\right)+P\left(Z<-1.5\right)  

b)

 P(−1.5<Z<1.5)P\left(-1.5<Z<1.5\right)  

c)

 P(Z>−1.5)+P(Z<1.5)P\left(Z>-1.5\right)+P\left(Z<1.5\right)  

13.

 X∼B(250,0.2)X\sim B\left(250,0.2\right)  , write it approximation distribution

a)

 X∼N(200,50)X\sim N\left(200,50\right)  

b)

 X∼N(50,40)X\sim N\left(50,40\right)  

c)

 X∼N(50,1600)X\sim N\left(50,1600\right)  

14.

 P(X>3)P\left(X>3\right)  write the continuity correction of the

a)

 P(X>3.5)P\left(X>3.5\right)  

b)

 P(X>2.5)P\left(X>2.5\right)  

c)

 P(Z>3.5)P\left(Z>3.5\right)  

d)

 P(X>4)P\left(X>4\right)  

15.

Which is the formula of median of grouped data?

a)

Lk+(d1d1+d2)CL_k+\left(\frac{d_1}{d_1+d_2}\right)C

b)

Lk+(N2−Fk−1fk)CL_k+\left(\frac{\frac{N}{2}-F_{k-1}}{f_k}\right)C

c)

∑fxF\frac{\sum_{ }^{ }fx}{F}

16.

Comment this distribution?

a)

negatively skewed

b)

positively skewed

c)

symmetrical

17.

Give the reason why this distribution is positive skewed?

a)

Q2−Q1<Q3−Q2Q_2-Q_1<Q_3-Q_2

b)

Q2−Q1>Q3−Q2Q_2-Q_1>Q_3-Q_2

c)

Q1−Q2>Q2−Q3Q_1-Q_2>Q_2-Q_3

18.

What is median class?

a)

30 - 40

b)

40 - 50

c)

50 - 60

19.

What is size class of the data

a)

9

b)

10

c)

11

20.

Which is the formula of mode of grouped data?

a)

Lk+(d1d1+d2)CL_k+\left(\frac{d_1}{d_1+d_2}\right)C

b)

Lk+(N2−Fk−1fk)CL_k+\left(\frac{\frac{N}{2}-F_{k-1}}{f_k}\right)C

c)

∑fxF\frac{\sum_{ }^{ }fx}{F}

21.

Find the first quartiles class?

a)

20 - 30

b)

30 - 40

c)

40 - 50

22.

Formula range for grouped data?

a)

lower boundary class of largest class - lower boundary class of smallest class

b)

upper boundary largest class - lower boundary smallest class

c)

midpoint of largest class - midpoint of smallest class

23.

size class of this data?

a)

9

b)

10

c)

11

24.

lower boundary of median class?

a)

40.5

b)

39.5

c)

40

25.

What is the observation of  Q1Q_1  class?

a)

20 - 29 

b)

30 - 39

c)

40 - 49

26.

A fair dice is tossed. Calculate the probability of obtaining a prime number?

a)

36\frac{3}{6} @ 12\frac{1}{2}

b)

46\frac{4}{6} @ 23\frac{2}{3}

c)

26\frac{2}{6} @ 13\frac{1}{3}

27.

Find the probability between 20 and 35

a)

P(20<X<35)P\left(20<X<35\right)

b)

P(20≤X≤35)P\left(20\le X\le35\right)

28.

Given  X∼N(12.2,6.25)X\sim N\left(12.2,6.25\right)  . Find  P(X<10)P\left(X<10\right)  .

a)

0.1587

b)

0.3446

c)

0.1401

29.

 P(11<X≤18)P\left(11<X\le18\right)  what is the continuity correction for

a)

 P(10.5<X<17.5)P\left(10.5<X<17.5\right)  

b)

 P(11.5<X<18.5)P\left(11.5<X<18.5\right)  

c)

 P(10.5<X<18.5)P\left(10.5<X<18.5\right)  

30.

 P(1.74<Z≤2.33)=?P\left(1.74<Z\le2.33\right)=?  

a)

 1−P(Z>1.74)−P(Z≥2.33)1-P\left(Z>1.74\right)-P\left(Z\ge2.33\right)  

b)

 P(Z>1.74)−P(Z≥2.33)P\left(Z>1.74\right)-P\left(Z\ge2.33\right)  

c)

 P(Z≥2.33)−P(Z>1.74)P\left(Z\ge2.33\right)-P\left(Z>1.74\right)  

31.

Given X∼B(150,0.3)X\sim B\left(150,0.3\right)  , Find  P(X>42)P\left(X>42\right)  . Which is correct?

a)

 P(Z>−0.45)P\left(Z>-0.45\right)  

b)

 P(Z>−0.53)P\left(Z>-0.53\right)  

c)

 P(Z>−0.62)P\left(Z>-0.62\right)  

32.

Given that 90% of the candidates who take a English oral test will pass. On a certain day, 12 students take the test.

What suitable distribution should be use?

a)

Poisson

b)

Binomial

c)

Normal

d)

Normal approximation

33.

If 7% of the students in the school has weights more than  mm  kg.
Meaning?

a)

 P(X≥m)=0.07P\left(X\ge m\right)=0.07  

b)

 P(X≥m)=0.07P\left(X\ge m\right)=0.07  

c)

 P(X>m)=0.07P\left(X>m\right)=0.07  

d)

 P(X>7)=tP\left(X>7\right)=t  

34.

In a survey it is found that one out of four families own a Proton Wira car. If there is 2800 families. Calculate the mean and standard deviation.

a)

μ=700 , σ=525\mu=700\ ,\ \sigma=525

b)

μ=700, σ=22.91\mu=700,\ \sigma=22.91

c)

μ=2100 , σ=22.91\mu=2100\ ,\ \sigma=22.91