RES-ECON EXAM-3
The null and alternative hypotheses should be constructed so that they are mutually exclusive and ------. Proportional Parameterized Collectively exhaustive Standardized
Collectively exhaustive
A(n) ----------- is the value of the ----------- when evaluated with a particular sample. Observation, Estimator Estimator, Population Mean Estimate, Estimator Estimator, Estimate Population mean, Estimator
ESTIMATE, ESTIMATOR
Compared to the standard normal distribution, the Student's t distribution is narrower. True False
False
If a population is with mean μ and standard deviation σ, then the random variable X approaches a normal distribution with mean μ and standard deviation as the sample size gets large, regardless of whether the population distribution is distributed normal. True False
False
Which of the following is a valid alternative hypothesis? H1: μ ≤ 0 H1: μ ≠ 0 H1: μ ≥ 0 H1: μ = 0
H1: μ ≠ 0
The standard error of the sample mean ------------ as the sample size ------------. Increases, decreases Decreases, decrease Increases, increase
Increases, decreases
Which of the following is not a characteristic of the t distribution? It is a symmetric distribution It is a continuous distribution It has mean of zero It approaches the normal distribution as the degrees of freedom decreases None of the Above
It approaches the normal distribution as the degrees of freedom decreases
Which of the following is NOT true about the normal distribution? The mean tells you where its center is Its shape looks like a rectangle It is a continuous random variable It is symmetrical
Its shape looks like a rectangle
The Following is an example of a ---------- hypothesis test. H0: μ ≥ μ0 H1: μ < μ0 Right-Tailed Test Null-Tailed Test Two-Tailed Test Left-Tailed test Alternative-Tailed Test
LEFT-TAILED TEST
The ------------- is the difference between the sample mean and sampling error. Bias Estimate Population mean Sample standard deviation Range
POPULATION MEAN
For a given level of confidence, the larger the sample size, the Larger the standard error Greater the confidence interval width. Smaller the confidence interval width. Larger the margin of error.
Smaller the confidence interval width.
Which type of values must you be working with if the population standard deviation is unknown? W-values Z-values T-values X-values
T-VALUES
The width of a confidence interval for μ is not affected by: The standard deviation. The sample size. The confidence level. The sample mean.
The sample mean.
Which of the following is not true about a continuous random variable? The total area under the curve is equal to 1 We know exactly what the distribution looks like for any continuous random variable The probability of any single point occurring is 0 The probability of any interval occurring is non-negative
We know exactly what the distribution looks like for any continuous random variable