If the null hypothesis is false, increasing the level of significance for a spec

Question

If the null hypothesis is false, increasing the level of significance for a specified sample size will increase the probability of rejecting the null hypothesis.

Question 4 options:

False

Question 5 (3 points)

In a hypothesis test , the p-value is 0.043. This means that the null hypothesis would be rejected at the 0.05 significance level.

Question 5 options:

Question 6 (3 points)

In a hypothesis testing problem:

Question 6 options:

the null hypothesis will not be rejected unless the data are not unusual (given that the hypothesis is true).

the null hypothesis will not be rejected unless the p-value indicates the data are very unusual (given that the hypothesis is true).

the null hypothesis will not be rejected only if the probability of observing the data provide convincing evidence that it is true.

the null hypothesis is also called the research hypothesis; the alternative hypothesis often represents the status quo.

the null hypothesis is the hypothesis that we would like to prove; the alternative hypothesis is also called the research hypothesis.

The risk of a Type II error is directly controlled in a hypothesis test by establishing a specific significance level.

Question 8 options:

False

uestion 9 (3 points)

Which of the following is not true about the null hypothesis:

Question 9 options:

Question 10 (3 points)

Question 10 options:

Question 11 (3 points)

Acceptance sampling (defined):

Question 11 options:

Question 12 (3 points)

Which of the following is true about a test statistic:

Question 12 options:

True

False

Question 5 (3 points)

In a hypothesis test , the p-value is 0.043. This means that the null hypothesis would be rejected at the 0.05 significance level.

Question 5 options:

True False

Question 6 (3 points)

In a hypothesis testing problem:

Question 6 options:

the null hypothesis will not be rejected unless the data are not unusual (given that the hypothesis is true).

the null hypothesis will not be rejected unless the p-value indicates the data are very unusual (given that the hypothesis is true).

the null hypothesis will not be rejected only if the probability of observing the data provide convincing evidence that it is true.

the null hypothesis is also called the research hypothesis; the alternative hypothesis often represents the status quo.

the null hypothesis is the hypothesis that we would like to prove; the alternative hypothesis is also called the research hypothesis.

The risk of a Type II error is directly controlled in a hypothesis test by establishing a specific significance level.

Question 8 options:

True

False

uestion 9 (3 points)

Which of the following is not true about the null hypothesis:

Question 9 options:

a) Usually the null hypothesis is a statement of "no effect" or "no difference" b) Either the null hypothesis is rejected or accepted c) The null hypothesis is contrasted with the alternative hypothesis, denoted by Ha or H1 d) A null hypothesis must be sufficiently specific to define the sampling distribution for the sampling statistic which is used to calculate the p-value e) All of the above are true

Question 10 (3 points)

Margin of error of a confidence interval (defined):
I. the value added or subtracted from the sample mean which determines the length of the interval
II.   
III.  

Question 10 options:

a) Only I is correct b) Only II is correct c) Only III is correct d) Both I and II are correct e) Both I and III are correct

Question 11 (3 points)

Acceptance sampling (defined):

Question 11 options:

a) Acceptance sampling means the alternate hypothesis, Ha, is accepted b) Acceptance sampling is "the middle of the road" approach between no inspection and 100% inspection c) Acceptance sampling is failing to reject the null hypothesis, d) Acceptance sampling is using confidence levels to either accept or reject the null hypothesis, H0 e) None of the above is acceptance sampling

Question 12 (3 points)

Which of the following is true about a test statistic:

Question 12 options:

a) Its value is used to decide whether or not the null hypothesis should be rejected in our test hypothesis b) A test statistic is a quantity calculated from our sample of data c) The choice of a test statistic will depend on the assumed probability model and the hypotheses under question. d) All of the above are true e) None of the above are true

Explanation / Answer

Q4.

the value of |z | at los 5% is 1.645

increasing the level of significance decrease the z tab evalue there by increases the chances of rejecting the null hypothesis.

[ANSWER] true

Q5.
value of p0.05 > 0.043, here we reject Ho
[ANSWER] true
Q10.
Margin of Error = Z a/2 * (sd/ Sqrt(n))
Where,
x = Mean
sd = Standard Deviation
a = 1 - (Confidence Level/100)
Za/2 = Z-table value
[ANSWER] d)Both I and II are correct

Q12.

d)    All of the above are true

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