1. It is a rule or method that leads to decision to accept or reject the hypothesis when sample values are gathered from the population under study. A. Estimation C. Hypothesis Testing D. Test Statistic B. Hypothesis 2. What mathematical model is appropriate for decision-making about population proportion? A. Graphical representation C. z- statistic B. Normal curve D. None of these 3. This refers to an intelligent guess, an assumption, or a claim about a population parameter which may either be true or false. A. Hypothesis B. Test statistic C. Decision D. Interpretation
1. It is a rule or method that leads to decision to accept or reject the hypothesis when sample values are gathered from the population under study. A. Estimation C. Hypothesis Testing D. Test Statistic B. Hypothesis 2. What mathematical model is appropriate for decision-making about population proportion? A. Graphical representation C. z- statistic B. Normal curve D. None of these 3. This refers to an intelligent guess, an assumption, or a claim about a population parameter which may either be true or false. A. Hypothesis B. Test statistic C. Decision D. Interpretation
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Transcribed Image Text:1. It is a rule or method that leads to decision to accept or reject the hypothesis when
sample values are gathered from the population under study.
A. Estimation
C. Hypothesis Testing
D. Test Statistic
В. Нурothesis
2. What mathematical model is appropriate for decision-making about population
proportion?
A. Graphical representation
B. Normal curve
C. z- statistic
D. None of these
3. This refers to an intelligent guess, an assumption, or a claim about a population
parameter which may either be true or false.
A. Hypothesis
B. Test statistic
C. Decision
D. Interpretation
4. The probability of rejecting the null hypothesis when it is true is called,
A. Level of Confidence
C. Power of the test
D. Estimate interval
B. Level of Significance
5. What is the purpose of hypothesis testing?
A. To collect sample data and use them to formulate hypotheses about a
population.
B. To draw conclusions about population and then collect sample data to support
the conclusions.
C. To draw conclusions about populations from sample data.
D. To draw conclusions about the known value of population parameter
6. Which of the following statements is true when the null hypothesis is rejected?
A. There is significant difference between the parameters being compared.
B. There is no significant difference between the parameters being compared.
C. The conclusion is guaranteed.
D. The conclusion is not guaranteed.
7. If in the z-test of proportions, the computed z is found on the rejection region then
this means that:
A. The sample proportion is equal to the hypothesized proportion.
B. The sample proportion is eaual to the population proportion.
C. The sample proportion is not equal to the hypothesized proportion.
D. The sample proportion is not equal to the population proportion
43
8. What is the value of a for the 95% confidence level of a two-tailed test?
A. 0.01
С. 0.10
B. 0.05
D. 0.025
9. If p = 0.3, p = 0.4, n = 50 what is the value of z?
A. 0.45
В. 0.63
С. 1.54
D. 0.55
10. Under the normal curve, the middle part represents
A. Confidence level
B. Confidence interval
C. Acceptance region
D. All of these
11. In conducting hypothesis test, our point of investigation or the hypothesis that we are
testing is always the
a. claim
b. null
c. alternative
d. evidence
12
The critical value determines the
regions.
a. rejected and non-
rejected regions
c. tail of the curve
d. hypothesis to be
b. area under the
curve
proven
13 Suppose you have conducted a hypothesis test and the claim is represented bv H.. Your
test statistic falls on the non-rejected region on the graph. Which of the following is a
correct interpretation in the context of the claim?
a. there is enough evidence to support the claim
b. there is enough evidence to reject the claim
c. there is not enough evidence to support the claim
d. there is not enough evidence to reject the claim
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