QMB 3200 EXAMS 2 SETS ANSWERS AND
QUESTIONS SET A+
✔✔For a two tailed test, the p-value is the probability of obtaining a value for the test
statistic as: - ✔✔unlikely as that provided by the sample
✔✔The probability of making a Type 1 error when the null hypothesis is true as an
equality is called the: - ✔✔level of significance??
✔✔The P value: - ✔✔must be a number between 0 and 1
✔✔If two large independent random samples are taken from two populations, the
sampling distribution of the difference between the two sample means: - ✔✔can be
approximated by a normal distribution
✔✔Suppose we have a t distribution based upon two sample means with unknown
population standard deviations, which we are unwilling to assume are equal. When we
calculate the appropriate degrees of freedom, we should: - ✔✔Round the calculated
degrees of freedom down to the nearest interger
✔✔The matched sample design often leads to a smaller sampling error than the
independent sample design. The primary reason is that in a matched sample design: -
✔✔Variation between subjects is eliminated because the same subjects are used for
both treatments
✔✔Regarding hypothesis tests about p1-p2, the pooled estimate of P is a: -
✔✔weighted average of pbar1 - pbar2
✔✔The sampling distribution of pbar1-pbar2 is approximated by a: - ✔✔normal
distribution
✔✔In most applications of the interval estimation and hypothesis testing procedures,
random samples with n1 ≥ 30 and n2 ≥ 30 are adequate. In cases where either or both
, sample sizes are less than 30: - ✔✔the distribution of the populations becomes an
important consideration.
✔✔Regarding inferences about the difference between two population means, the
alternative to the matched sample design, as covered in the textbook, is -
✔✔Independent samples
✔✔When developing an interval estimate for the difference between two sample
means, with sample sizes of n1 and n2 : - ✔✔n1 and n2 can be of different sizes.
✔✔If we are interested in testing whether the proportion of items in population 1 is
larger than the proportion of items in population 2, then the: - ✔✔alternative hypothesis
should state p1 - p2 .
✔✔When completing a two-tailed hypothesis test about the difference between two
population means, the - ✔✔p-value must be doubled
✔✔As a general guideline, the research hypothesis should be stated as the: -
✔✔alternative hypothesis
✔✔Which of the following hypothesis is not a valid null hypothesis? - ✔✔H0: mu < 0
✔✔A one-tailed test is a hypothesis test in which rejection region is: - ✔✔in one tail of
the sampling distribution
✔✔When the p-value is used for hypothesis is testing, the null hypothesis is rejected if: -
✔✔p-value <= a
✔✔For a two-tailed hypothesis test about a population mean, the null hypothesis can be
rejected if the confidence interval: - ✔✔does not include Ho
✔✔When each data value in one sample is matched with a corresponding data value in
another sample, the samples are known as - ✔✔Matched samples
✔✔Independent variable - ✔✔The variable that is doing the predicting or explaining. It is
denoted by x.
✔✔Simple linear regression - ✔✔Regression analysis involving one independent
variable and one dependent variable in which the relationship between the variables is
approximated by a straight line.
✔✔Dependent variable - ✔✔The variable that is being predicted or explained. It is
denoted by y.
QUESTIONS SET A+
✔✔For a two tailed test, the p-value is the probability of obtaining a value for the test
statistic as: - ✔✔unlikely as that provided by the sample
✔✔The probability of making a Type 1 error when the null hypothesis is true as an
equality is called the: - ✔✔level of significance??
✔✔The P value: - ✔✔must be a number between 0 and 1
✔✔If two large independent random samples are taken from two populations, the
sampling distribution of the difference between the two sample means: - ✔✔can be
approximated by a normal distribution
✔✔Suppose we have a t distribution based upon two sample means with unknown
population standard deviations, which we are unwilling to assume are equal. When we
calculate the appropriate degrees of freedom, we should: - ✔✔Round the calculated
degrees of freedom down to the nearest interger
✔✔The matched sample design often leads to a smaller sampling error than the
independent sample design. The primary reason is that in a matched sample design: -
✔✔Variation between subjects is eliminated because the same subjects are used for
both treatments
✔✔Regarding hypothesis tests about p1-p2, the pooled estimate of P is a: -
✔✔weighted average of pbar1 - pbar2
✔✔The sampling distribution of pbar1-pbar2 is approximated by a: - ✔✔normal
distribution
✔✔In most applications of the interval estimation and hypothesis testing procedures,
random samples with n1 ≥ 30 and n2 ≥ 30 are adequate. In cases where either or both
, sample sizes are less than 30: - ✔✔the distribution of the populations becomes an
important consideration.
✔✔Regarding inferences about the difference between two population means, the
alternative to the matched sample design, as covered in the textbook, is -
✔✔Independent samples
✔✔When developing an interval estimate for the difference between two sample
means, with sample sizes of n1 and n2 : - ✔✔n1 and n2 can be of different sizes.
✔✔If we are interested in testing whether the proportion of items in population 1 is
larger than the proportion of items in population 2, then the: - ✔✔alternative hypothesis
should state p1 - p2 .
✔✔When completing a two-tailed hypothesis test about the difference between two
population means, the - ✔✔p-value must be doubled
✔✔As a general guideline, the research hypothesis should be stated as the: -
✔✔alternative hypothesis
✔✔Which of the following hypothesis is not a valid null hypothesis? - ✔✔H0: mu < 0
✔✔A one-tailed test is a hypothesis test in which rejection region is: - ✔✔in one tail of
the sampling distribution
✔✔When the p-value is used for hypothesis is testing, the null hypothesis is rejected if: -
✔✔p-value <= a
✔✔For a two-tailed hypothesis test about a population mean, the null hypothesis can be
rejected if the confidence interval: - ✔✔does not include Ho
✔✔When each data value in one sample is matched with a corresponding data value in
another sample, the samples are known as - ✔✔Matched samples
✔✔Independent variable - ✔✔The variable that is doing the predicting or explaining. It is
denoted by x.
✔✔Simple linear regression - ✔✔Regression analysis involving one independent
variable and one dependent variable in which the relationship between the variables is
approximated by a straight line.
✔✔Dependent variable - ✔✔The variable that is being predicted or explained. It is
denoted by y.
