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WorksheetsMIDTERM REVIEW (PSY002)
Total questions: 35
Worksheet time: 18mins
In a one-way ANOVA, how many degrees of freedom exist for the F-test? (k represents the number of groups)
(k-N) and (N-k)
(k-1) and (N-k)
(N-1) and (N-k)
(Nk-1) and (N-1)
To determine whether the test statistic of ANOVA is statistically significant, it can be compared to a critical value. What two pieces of information are needed to determine the critical value?
expected frequency, obtained frequency
mean, sample standard deviation
sample size, number of groups
MSTR (Mean Square Treatment), MSE
In a study, subjects are randomly assigned to one of three groups: control, experimental A, or experimental B. After treatment, the mean scores for the three groups are compared. The appropriate statistical test for comparing these means is:
Chi Square
The Correlation Coefficient
The Analysis of Variance
The T-Test
Analysis of variance is a statistical method of comparing the __________________of several populations.
Means
Proportions
Variances
Standard Deviations
Does an ANOVA test identify specifically where the differences exist between the groups?
No
Yes
Yes, provided the data are normally distributed
Yes, provided the data are not normally distributed
What type of data are best analyzed in ANOVA?
Random
Experimental
Simple
Correlational
What is the strength and direction of correlation between two variables having a correlation coefficient value of 0.67?
strong positive correlation
very weak positive correlation
weak positive correlation
perfect negative correlation
If the values of two variables move in the opposite direction, __________
The correlation is said to be linear
The correlation is said to be negative
The correlation is said to be non-linear
The correlation is said to be positive
Which of the following is true for the coefficient of correlation?
None of the above
The coefficient of correlation is not dependent on both the change of scale and change of origin
The coefficient of correlation is not dependent on the change of origin
The coefficient of correlation is not dependent on the change of scale
If with the fall in the value of one variable the value of another variable rises in the same proportion then it is said to be:
Negatively correlated
Positively correlated
None of the above
Not correlated at all
What is a one-sample t-test used for?
Comparing means from two separate samples
Comparing means from a sample and a population
Comparing means from more than two samples
Comparing means from two related samples
Which best describes a t-test?
It is a type of descriptive statistics.
It can be used as long as the data is not normally distributed
All of the above.
It is used to determine if there are significant differences.
A group of 10 students was randomly drawn from class 12 and was given a yoga training for three weeks. Their wellness lifestyle was compared with another similarly selected group which did not undergo such training. Which type of statistical test will be appropriate for testing the tenability of null hypothesis?
Sign test
Dependent t-test
Independent t-test
Wilcoxon test
To use a t-test, the dependent variable must have:
Ordinal or ratio data
Ordinal or interval data
Nominal or interval data
Interval or ratio data
The point where the null hypothesis is rejected is called:
Acceptance value
Critical value
Significant value
Rejection value
In a criminal trial, a Type I error is made when:
An innocent person is convicted (sent to jail)
An innocent person is acquitted.
A guilty defendant is convicted.
A guilty defendant is acquitted (set free)
In a criminal trial, a Type II error is made when:
An innocent person is convicted (sent to jail)
A guilty defendant is convicted.
An innocent person is acquitted.
A guilty defendant is acquitted (set free)
In a one-tail test for the population mean, if the null hypothesis is REJECTED when the alternative hypothesis is NOT TRUE, then:
A correct decision is made
A two-tail test should be used instead of one-tail test
A Type I error is committed.
A Type II error is committed.
In order to determine the p-value of a hypothesis test, which o the following is NOT needed?
The level of significance
The form of the null and alternative hypothesis
The value of the test statistic
Whether the test is one-tail or two-tail
Which of the following statements about hypothesis testing is TRUE?
A type II error is rejecting the null when it is actually true.
None of the above.
If the p-value is greater than the significance level, we fail to reject Ho.
If the alternative hypothesis is that the population mean is greater than a specified value, then the test is a two-tailed test.
The purpose of hypothesis testing is to_____________
Determine whether a statistical result is significant
Test how far the mean of the sample is from zero.
Derive the standard error of the data.
Determine the appropriate value of the significance level.
In a one-tail test for the population mean, if the null hypothesis is NOT REJECTED when the hypothesis is TRUE, then
A two-tail test should be used instead of one-tail test
A correct decision is made
A Type II error is committed.
A Type I error is committed.
A statement made about population for testing purpose is called (a)
The rejection probability of Null Hypothesis when it is TRUE is called________
Level of Significance
Level of Confidence
Level of Rejection
Level of Margin
If the critical region is evenly distributed, then the test is referred as ___________
Zero tailed
One tailed
Two tailed
Three tailed
If we FAIL TO REJECT the null hypothesis, then we conclude that_______
The test is statistically insignificant at whatever level of significance the test was conducted at.
There is enough statistical evidence to infer that the null hypothesis is true.
There is not enough statistical evidence to infer that the alternative hypothesis is true.
There is enough statistical evidence to infer that the alternative hypothesis is true.
What assumption is being made when we use the t-distribution to perform a hypothesis test?
That the underlying distribution has more than one modal class.
That the underlying population follows an approximately normal distribution.
That the underlying population has a constant variance
That the underlying population has a non-symmetrical distribution.
Which of the following p-values will lead us to REJECT the null hypothesis if the significance level is set at 5%?
0.15
0.06
0.10
0.025
If we reject the null hypothesis, we conclude that:
There is enough statistical evidence to infer that the alternative hypothesis is true.
The test is statistically insignificant at whatever level of significance the test was conducted at.
There is not enough statistical evidence to infer that the alternative hypothesis is true.
There is enough statistical evidence to infer that the null hypothesis is true.
In a two-tail test for the population mean, if the null hypothesis is REJECTED when the alternative hypothesis is TRUE, then
A two-tail test should be used instead of one-tail test
A Type II error is committed.
A correct decision is made
A Type I error is committed.
The probability of type I error is referred as:
1-β
1-α
β
α
If the assumed hypothesis is tested for rejection considering it to be true is called:
Simple hypothesis
Alternative hypothesis
Null hypothesis
Statistical hypothesis
Statistical significance or the probability of finding statistical significance is also known as:
degrees of freedom (df)
Critical value (CV)
p-value
standard deviation (sd)
In t-test, if calculated value is greater than the critical value, then:
Do not reject null hypothesis
Reject the null hypothesis
Estimate again
Do nothing
What is the appropriate test statistic to be used if the number of samples is less than 30 and the variance is NOT known?
(a)
