Statistical Inference

Statistical Inference

University

15 Qs

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Statistical Inference

Statistical Inference

Assessment

Quiz

Business

University

Practice Problem

Hard

Created by

naz shah

Used 2+ times

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15 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the purpose of taking a sample instead of a census?

To eliminate sampling error

To reduce costs and time

To collect data from every element

To ensure perfect information about the population

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does the null hypothesis (H0) represent?

A statement that is always true

A conclusion drawn from the sample data

A tentative conjecture about a population parameter

The opposite of the alternative hypothesis

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is a characteristic of a simple random sample?

Samples are taken from only one subgroup of the population

Each sample of size n has the same probability of being selected

All elements are selected based on convenience

Each element has a different probability of being selected

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the expected value of the sample mean (x)?

It is always less than the population mean

It is always equal to the population mean (m)

It is the same as the sample standard deviation

It can be greater than the population mean

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the purpose of the t distribution in hypothesis testing?

To ensure the sample size is always large

To estimate the population mean when the standard deviation is unknown

To provide a narrower margin of error

To replace the need for a sample

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the margin of error in an interval estimate?

The value added and subtracted from the point estimate

The range of values that the population parameter can take

The standard deviation of the sample

The difference between the sample mean and population mean

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following conditions must be satisfied for the sampling distribution of p to be approximated by a normal distribution?

n < 30 and p < 0.5

np < 5 and n(1-p) < 5

np > 5 and n(1-p) > 5

n must be equal to the population size

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