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Worksheetspsychological stat.
Total questions: 50
Worksheet time: 25mins
It refers to a sampling technique in which samples are obtained using some objective chance mechanism, thus involving randomization.
Non-probability
Probability Sampling
Purposive Sampling
Stratified Random Sampling
It is a type of non-probability sampling that is also called as a judgmental sampling used when practical considerations prevent the use of probability sampling.
Quota Sampling
Purposive Sampling
Random Sampling
Stratified Sampling
Refers on the random selection of the samples, each sample or element from the population has an equal chance of selection under a given sampling technique.
Non-Probability Sampling
Probability Sampling
Research Process
Sampling Technique
To illustrate the procedure to be followed in this probability sampling technique-suppose you’re interested in how frequent use varies by level among junior high school students. To explore this inquiry, you need to ensure that an appropriate number of students are drawn from all levels of the junior high school track, what is the most appropriate sampling technique to be used?
Cluster Sampling
Simple Random Sampling
Stratified Sampling
Systematic Sampling
It is often called the arithmetic average of a set of data, the sum of the observed values in the distribution divided by the number of observations.
Mean
Median
Mode
Weighted Mean
A very popular rating scale used by researchers to measure behaviors and attitudes quantitatively.
Degree of Occurrence
Frequency of use
Level of Satisfaction
Likert Scale
Which is the numerical value used as a summary measure for a sample?
Sample statistics
Sample parameters
Population mean
Range
If height and body weight are positively correlated, which of the following is true?
There is a cause-effect relationship between height and weight.
As height increases, weight decreases.
Knowing a person's height, one can predict his or her weight.
All of these statements are true.
The difference between the highest and lowest scores in a distribution is the
Mean
Median
Mode
Range
A testable prediction
Hypothesis
Thesis
Operational definition
Theory
What type of variable is gender?
Interval variable
Nominal variable
Ordinal variable
Ratio variable
If a hypothesis written as “Students become heavier as they become taller”, what can be said about the hypothesis?
It is null hypothesis.
It is a directional hypothesis.
It is an alternative hypothesis.
It is a non-directional hypothesis.
For a sample size determined with a 95% confidence interval, what is the margin of error?
5%
3%
0.5
0.3
The hypothesis goes as “There is no significant difference in the job satisfaction of the respondents in terms of sex. What statistics are we going to use test the hypothesis?
dependent t-test
independnet t-test
one-way ANOVA
two-way ANOVA
What will be the sample size, using the Slovin’s formula, for population of 3,500 persons, given the margin of error 5%?
159
259
359
459
The title of a study reads as “School Performance of Students Coming from Different Cultures”. Which are the best statistics to be used to test the hypothesis?
dependent t-test
independent t-test
One-way ANOVA
Two-way ANOVA
The _____ type of distribution is used to show how often a specific value occurs in a set of data.
Statistical significance
Mean
Standard deviation
Frequency
When Jacob uses a table to list the frequency of each type of data, he creates a _____
Variance
Standard deviation
Range
Frequency Table
A histogram graphically represents _____.
Distributions
Deviations
Variables
Frequencies
Mean, median, mode, range, standard deviation, and coefficient of variation are examples of a(n) _____ statistic.
Inferential
Summative
Descriptive
Variable
When graphing his data, Diego realized this measurement, the _____, falls near the middle.
Variance
Deviation
Frequnecy
Mean
For Jane's research, she used these types of statistics to make conclusions about her hypothesis.
Experimental
Descriptive
External
Inferential
An ANOVA test is used to analyze _____ groups.
Two
Comparable
Multiple
Dissimilar
This value will always be between 0 and 1.
Chi-square
ANOVA
P-value
Critical value
Table 1 shows the means from a study examining the average number of movies watched per week by males and females in UK. The researchers were also interested in comparing their sample according to sex. How many conditions are there in this study?
2
4
6
8
In the study depicted in table 1, if you’re interested in knowing the effects for sex only and you had the raw data used to compute the means above, what type of analysis would you perform?
t-test
Chi-square
One-way ANOVA
Two-way ANOVA
Which one of the following analyses can you use for a between-subjects design?
Repeated measures t-test
Independent Sample t-test
Correlations
Repeated measures ANOVA
The non-parametric equivalent of Pearson’s correlation is the:
Wilcoxon test
Mann-Whitney U-test
Spearman's Rho
Friedman test
In a regression, the size and nature of the relationship between two variables is shown by the:
Slope
Intercepts
Kurtosis
Skewness
A correlation is used on data where the variables are:
COntinuous
Ordinal
Nominal
Balanced
A probability of p = 0.25 means:
The findings are significant
The findings are not significant
There are strong differences between means
The null hypothesis has not been supported.
If a study has one independent variable with three levels and the dependent variable is continuous, the most appropriate statistical procedure to conduct is:
Multiple t-test
One-way ANOVA
Two-way ANOVA
Z-test
When you perform tests of statisitcal significance:
You can say the null hypothesis is true
You can accept the alternative hypothesis
You cannot reach conclusions
You can decide to reject the null hypothesis
If the critical region is evenly distributed, then the test is referred as ___________
One tailed
Two tailed
Three tailed
None of the above
Type I error occurs when?
We reject Ho if it is true
We reject Ho if it is false
We fail to reject Ho if it is true
We fail to reject Ho if it is false
In a one-tail test for the population mean, if the null hypothesis is NOT REJECTED when the hypothesis is TRUE, then
A Type I error is committed.
A Type II error is committed.
A correct decision is made
A two-tail test should be used instead of one-tail test
If we FAIL TO REJECT the null hypothesis, then we conclude that_______
There is enough statistical evidence to infer that the alternative 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 null hypothesis is true.
The test is statistically insignificant at whatever level of significance the test was conducted at.
The purpose of hypothesis testing is to_____________
Test how far the mean of the sample is from zero.
Determine whether a statistical result is significant
Determine the appropriate value of the significance level.
Derive the standard error of the data.
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 has a constant variance
That the underlying population has a non-symmetrical distribution.
That the underlying population follows an approximately normal distribution.
Which of the following statements about hypothesis testing is TRUE?
If the p-value is greater than the significance level, we fail to reject Ho.
A type II error is rejecting the null when it is actually true.
If the alternative hypothesis is that the population mean is greater than a specified value, then the test is a two-tailed test.
None of the above.
Which of the following p-values will lead us to REJECT the null hypothesis if the significance level is set at 5%?
0.06
0.10
0.15
0.025
A t-test is a significance test that assesses:
the means of two independent groups
the medians of two dependent groups
the modes of two independent variables
the standard deviation of three independent variables.
What is the appropriate test statistic to be used if the number of samples is less than 30 and the variance is NOT known?
F-test
T-test
U-test
Z-test
Which t-test would be used for this example? “Comparing employee satisfaction at Company A and Company B”.
One sample t-test
Independent t-test
Dependent t-test
Variance t-test
What is the strength and direction of correlation between two variables having a correlation coefficient value of 0.67?
perfect negative correlation
weak positive correlation
very weak positive correlation
strong positive correlation
Two judges of a town fiesta parade in San Leonardo ranked 10 floats in different order. At 0.05 level of significance, what is the most appropriate statistical too to be used to determine if there is a significant correlation in the ranking of the two judges?
Spearman Rho
Kruskal-Wallis test
Pearson Moment Correlation Coefficient
Wilcoxon Signed-rank test
The Mann-Whitney U test is preferred to a t-test when
Data are paired
Sample sizes are small
The assumption of normality is not met
Samples are dependent
If a Chi-square goodness of fit test has 6 categories and an N=30, then the correct number of degrees of freedom is
5
6
28
29
Comparing the times-to-failure of radar transponders made by firms A, B, and C, based on an airline’s sample experience with the three types of instruments, one may well call for:
A Kolmogorov-Smirnove test
A Kruskal-Wallis test
A Wilcoxon rank-sum test
A Spearman rank-correlation test
Nonparametric test statistics are used when we have ______.
Nominal or ordinal data or unequal variances among groups
Small samples
Violated the assumption of similar variances
All of these
