Statistics Confidence Quiz
Statistics Confidence Quiz
Test your knowledge of statistics with this engaging quiz! In 18 challenging questions, you'll explore key concepts such as confidence intervals, hypothesis testing, and probability distributions.
- Multiple choice and checkbox questions
- Designed for students and professionals alike
- Ideal for brushing up on your statistics skills
Assuming the random variable X is normally distributed, compute the upper limit of the 95% confidence interval for the population mean if a random sample of size n=11 produces a sample mean of 38 and sample standard deviation of 5.2
41.30
40.70
40.84
41.49
Compared to the standard normal distribution, the student?s t distribution is flatter and wider.
True
False
Which type of values must you be working with if the population standard deviation is known?
T-values
Z-values
W-values
X-values
A quality control engineer is interested in estimating the proportion of defective items coming off a production line. In a sample of 100 items, 50 are defective. Calculate the upper limit of a 95% confidence interval estimate for the proportion of defectives from this production line
0.604
0.595
0.598
0.582
Consider the continuous random variable, X, that is uniformly distributed between 6 and 15. Compute the probability that X lies between 8 and 10.
0.11
0.89
0.22
0.40
0.50
Suppose X is distributed normal with mean 10 and population standard deviation 2. What is the probability that X lies between 7 and 11?
0.6356
0.7583
0.0668
0.6247
0.6915
Find the margin of error for the mean weight of medium Antonios pizza if the sample size n=6 produces a sampel standard deviation of 7.5g, assuming 95% confidence
8.04
7.87
7.63
8.62
8.21
The --------- is the difference between the estimator and the corresponding population parameter
Range
Sample mean
Bias
Estimate
Sampling error
An -------- is a statistic derived from the sampling distribution to make inferences about a population parameter (before the is drawn)
Estimate
Observation
Random sample
Estimator
Population mean
Why is the z-score good for comparison of different data?
It is always symmetric measure
Most of the normalized data lies within -3 and 3
The mean is always 0
It is a unit free measure
The standard deviation is always one
The sampling distribution of the sample mean is the distribution of the sample means from all possible samples given size
True
False
For a given sample size, the higher the confidence level, the
Smaller the confidence interval width
Greater the confidence interval width
None of the above
A sampling distribution describes the distribution of
Either a parameter or a statistic
Neither a parameter nor a statistic
A statistic
A parameter
The following is an example of a ------ hypothesis test: u < u0, u > u0
Left-tailed test
Two-tailed test
Right-tailed test
Alternative-tailed test
Null-tailed test
The null and alternative hypotheses should be constructed so that they are ----- and collectively exhuastive
Mutually exclusive
Proportional
Parametized
Standardized
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