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Statistics and Probability

Total questions: 25

Worksheet time: 20mins

Name
Class
Date
1.

Which of these values is a parameter?

a)

x

b)

x‾\overline{x}

c)

myu

d)

z

2.

What do you call to the processes involved in making conclusions about population values?

a)

Estimating parameters

b)

hypothesis testing

c)

inferential statistics

d)

descriptive statistics

3.

Subsets of populations are called ______.

a)

averages

b)

estimates

c)

elements

d)

Samples

4.

Which of the following best represents the central value of a set of data?

a)

variance

b)

average

c)

standard deviation

d)

proportion

5.

What do you call a single value that may refer to a parameter value?

a)

Z statistic

b)

point estimate

c)

interval estimate

d)

T statistic

6.

The _________ is a range of values that contains the parameter value.

a)

Confidence limits

b)

confidence coefficient

c)

confidence interval

d)

confidence level

7.

Which of the following shows graphical results in making inferences about population values?

a)

Pie graph

b)

normal curve

c)

trend line

d)

bar graph

8.

Which of the following are the 95% confidence coefficients?

a)

±1.65

b)

±1.96

c)

±2.33

d)

±2.58

9.

Which of the following are the 99% confidence coefficients?

a)

± 1.645

b)

±1.96

c)

±2.33

d)

±2.58

10.

When α=0.01, the critical values are _____.

a)

±2.58

b)

±2.33

c)

±1.96

d)

± 1.645

11.

The maximum error of the estimate is found by ______.

a)

Adding zα/2 by standard deviation of the sample means

b)

Subtracting zα/2 by standard deviation of the sample means

c)

Multiplying zα/2 by standard deviation of the sample means

d)

Dividing zα/2 by standard deviation of the sample means

12.

When n<30 and the population standard deviation is not known, what is the appropriate distribution?

a)

z

b)

t

c)

r

d)

p

13.

When n≥30 and the population standard deviation is known, what is the appropriate distribution?

a)

z

b)

t

c)

r

d)

p

14.

In a t distribution, the critical values are based on ______.

a)

n

b)

z

c)

t

d)

df

15.

When X=50 and n=215, what is the value of ṕ?

a)

0.23

b)

4.3

c)

50

d)

215

16.

When X=120 and n=406, what is the value of q?

a)

0.30

b)

20.3

c)

120

d)

0.70

17.

What is the value resulting from subtracting the maximum error from the sample mean?

a)

Lower limit of the interval estimate

b)

upper limit of the interval estimate

c)

Point estimate

d)

interval estimate

18.

Which of the following illustrates confidence level?

a)

32.8

b)

30-39

c)

90%

d)

90%-94%

19.

The mean gasoline consumption of 10 cars is 28 liters with a standard deviation of 1.6 liters. Using 95% confidence level, what is α?

a)

95%

b)

28

c)

1.6

d)

0.05

20.

The mean gasoline consumption of 10 cars is 28 liters with a standard deviation of 1.6 liters.Using 95% confidence level, what is the point estimate of µ?

a)

95%

b)

28

c)

10

d)

1.6

21.

The area under the normal curve is ___.

a)

1

b)

0.99

c)

0.95

d)

0.5

22.

In a standard normal distribution, the mean is ___ and the standard deviation is ____.

a)

1,0

b)

0,1

c)

1,1

d)

0,0

23.

In a learning style study, 1200 respondents were asked if they can assimilate concepts while watching television. 586 said Yes. Find population proportion ṕ?

a)

1200

b)

586

c)

0.51

d)

0.49

24.

95% is an example of confidence interval

a)

TRUE

b)

FALSE

25.

An interval estimate is a range of values.

a)

TRUE

b)

FALSE