Review Questions - 2: MGMT 3101 (For Final Exam) Section I: (True or False) 1. Hypothesis testing is a procedure based on sample evidence and probability theory used to decide whether the hypothesis is a reasonable statement and should be not be rejected or is unreasonable and should be rejected. 2. An alternate hypothesis is a statement about a population parameter that is accepted when the null hypothesis is rejected. 3.
Define Skewness Skewness is a measure of the asymmetry of the probability distribution of a real-valued random variable about its mean. The Skewness value can be positive or negative, or even undefined. 18. What is Standard deviation (STDEV) The standard deviation (SD) (represented by the Greek letter sigma, σ) shows how much variation from the average exists. Deviation (statistics) is the difference between the value of an observation and the mean of the population in mathematics and statistics.
For what values of t will the null hypothesis not be rejected? a) To the left of -1.645 or to the right of 1.645 b) To the left of -1.345 or to the right of 1.345 c) Between -1.761 and 1.761 d) To the left of -1.282 or to the right of 1.282 QNT 561 Final Questions and Answers QNT 561 Final Exam 2. Which of the following is a characteristic of the F distribution? a) Normally distributed b) Negatively skewed c) Equal to the t-distribution d) Positively skewed 3. For a chi-square test involving a contingency table, suppose the null hypothesis is rejected.
Since the parameter is a population mean of a continuous variable variable, this suggests a one sample test of a mean. 2. SPECIFY THE NULL AND ALTERNATIVE HYPOTHESES. The second step is to state the research question in terms of a null hypothesis (H0) and a alternative hypothesis (HA). The null hypothesis is the population parameter, µ = $30,000 (H0: µ = $30,000).
b. potential independent variables that are held constant. c. measured by the researcher. d. probable behavioral causes. 6. One reason a valid experiment may produce null results is a. the range of levels in the independent variable was insufficient to show an effect.
Which of the following tests could he use for this? a. An independent samples t-test. b. ANOVA c. A paired-samples t-test. *d. A Chi-square test.
The type of characteristic and how well it measures is determined. When it comes to validity, the VMI utilizes the construct-related validation. The validation support here requires a demonstration of what it claims to measure. Another statistic to be aware of is the standard error of measurement (SEM). This will report any margin of error within individual testing due to imperfect reliability.
is biased, so we could make incorrect conclusions about model fit Detecting Heteroskedasticity: 1. Plot the regression residuals/errors, the “ehats,” or the squared residuals, the "ehats-squared", against the X variables (you should plot the residuals against each X variable separately to check which of the X variables might be a source of Heteroskedasticity). a. If Heteroskedasticity is not present, the variation in the ehats around (above and below) zero will be the same for all values of X. Figures 1a and 1b below are examples of residual plots when Heteroskedasticity is NOT present.
CONFOUND: A confound means that there is an alternative explanation beyond the experimental variables for any observed differences in the dependent variable EXTRANEOUS VARIABLES: Variables that naturally exist in the environment that may have some systematic effect on the dependent variable DEMAND CHARACTERISTIC: Experimental design element or procedure that unintentionally provides subjects with hints about the research hypothesis DEMAND EFFECT: Occurs when demand characteristics actually affect the dependent variables HAWTHORNE EFFECT: People will perform differently from normal when they know they are experimental subjects PLACEBO: A false experimental condition aimed at creating the impression of an effect PLACEBO EFFECT: The effect in a dependent variable associated with the psychological impact that goes along with knowledge of some treatment being administered CONSTANCY OF CODITIONS: Means that subjects in all experimental groups are exposed to identical conditions except for the differing experimental treatments COUNTERBALANCING: Attempts to eliminate the confounding effects of order of presentation by requiring that one-fourth of the subjects be exposed to treatment A first, one-fourth to treatment B first, one-fourth to treatment C first, and finally one-fourth to treatment D
For what values of t will the null hypothesis not be rejected? a) To the left of -1.645 or to the right of 1.645 b) To the left of -1.345 or to the right of 1.345 c) Between -1.761 and 1.761 d) To the left of -1.282 or to the right of 1.282 2. Which of the following is a characteristic of the F distribution? a) Normally distributed b) Negatively skewed c) Equal to the t-distribution d) Positively skewed Complete Answers here QNT 561 Final Exam 3. For a chi-square test involving a contingency table, suppose the null hypothesis is rejected.