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ID: 3363873 • Letter: F

Question

file:///C:/Users/V%20T%20PATEL/Downloads/test3_sample%20(1).pdf

this is website do the ture and false question

Part

I.

True or False (

4

points each, 40 points in total)

1.

The statistic

x

is a point estimate of the parameter

.

2.

Estimating a population parameter by a single number is called

interval estimation

.

3.

When the population mean

is estimated with a small sample (

n

< 30), the Central Limit

Theorem does not apply

.

4.

A sample is large if the interval

[

p

,

p

+

]

lies wholly within the interval [0, 1]

.

5.

The maximum sample size

n

needed to estimate a population mean

to within

E

units at 100(1

)% confidence level is

22

/2

2

()

z

n

E

(rounded up)

.

6.

A hypothesis about the value of a population parameter is an assertion about its value

.

7.

An

alternative hypothesis is the statement about the population parameter that is assumed to be

true unless there is convincing evidence to the contrary

.

8.

The observed significance of a test of hypotheses is the area of the tail of the distribution cut

of

f by the test statistic

.

9.

In systematic hypothesis testing procedure using

p

-

value approach,

H

0

is rejected if

p

-

value >

significance level

.

10.

To perform a small sample hypothesis test concerning a single population mean, when

is

unknown, the population must be Student’s

t

-

distributed

.

.

Explanation / Answer

1.

The statistic x is a point estimate of the parameter .

ANswer : true

2.

Estimating a population parameter by a single number is called interval estimation.

No it is point estimate.

Answer : false

3.

When the population mean is estimated with a small sample (n < 30), the Central Limit Theorem does not apply.

Answer : true