Question

- True or false? Why?

- The bigger the sample size, the more accurate the reported average of the sample.
- Type I error is when we accept a false null hypothesis
- A maintained hypothesis that is considered to be true unless sufficient evidence to the contrary is obtained is called the null hypothesis

- Dyanna is the quality control manager of a candy producing
factory. She has measured the weight of 25 boxes of candies. The
**average**of the weights of these 25 boxes is 250, and the**standard deviation**of them is 12. She is going to provide a label for the weights of boxes with 95% confidence.**What is the range of the weights**that she should report?

- Afra has taken 200 items in a factory and found that 12 of them
are defective. What is the percentage of all defective products in
that factory if Afra is supposed to provide the result with
**90% confidence**?

- Helen is reading a news article that 75% ± 12% of students from Acsenda find a well-paid job after they finish their studies. What sample size is used in this study?

Answer #1

a. True. The bigger the sample size, the more accurate the reported average of the sample. Since increasing sample size decreases the standard error of the sample mean. Reduction in the standard error indicates that reported average of sample is more accurate.

b.False. Type I error occurred when we reject the true null hypothesis.

c. True. We assume that the null hypothesis is true unless we have enough evidence to reject it. In a hypothesis testing problem we are in favour of rejecting the null hypothesis.

Therefore, a maintained hypothesis that is considered to be true unless sufficient evidence to the contrary is obtained is called the null hypothesis

1) True or false? Why? a) The smaller the sample size,
the more accurate the reported average of the sample. b) Type II
error is when we accept a false null hypothesis c) A maintained
hypothesis that is considered to be true unless sufficient evidence
to the contrary is obtained is called the alternative
hypothesis.

Dyanna
is the quality control manager of a candy producing factory. She
has measured the weight of 25 boxes of candies. The
average
of the weights of these 25 boxes is 250, and the
standard deviation
of them is 12. She is going to provide a label for the weights of
boxes with 95% confidence.
What is the range of the weightsthat
she should report?

True or false? A larger sample size produces a longer confidence
interval for μ.
False. As the sample size increases, the maximal error
decreases, resulting in a shorter confidence interval.True. As the
sample size increases, the maximal error decreases, resulting in a
longer confidence interval. True. As the
sample size increases, the maximal error increases, resulting in a
longer confidence interval.False. As the sample size increases, the
maximal error increases, resulting in a shorter confidence
interval.
True or false? If the...

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True or False
2. For a chi-square test, if the observed number of cases in
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True or False
1. A two-tailed hypothesis will have more statistical power than
a one-tailed hypothesis.
True or False

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2.I wish to question the validity of a business assumption. If I
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True...

need answer to these true-false questions.
1-) When the sample size n is moderately large, say n > 10 or
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2-) If Cp >1, the process uses up more than 100% of the
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3-) An assumption in the performance properties of x̅ and R
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A graduate student believed that, on the average, college
students spend more time on the Internet compared to the rest of
the population. She conducted a study to determine if her
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TRUE OR FALSE:
1. The sampling distribution of (X-bar) is
always a normal distribution according to the Central limit
theorem.
4. If the sampled population is a normal distribution, then the
sampling distribution of (X-bar is normal only for a
large enough sample size.
5. If p=.8 and n=50, then we can conclude that the sampling
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8. Assuming the same level of significancea, as the
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1) The process of inferring a population parameter from sample
data is?
2) [x] is the probability distribution of values that might be
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3) The sample standard deviation (s) divided by the
square root of the sample size (n) is the [x]
4 The [x] confidence interval provides a most-plausible range
for a parameter. On average, these values calculated from
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19 time...

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