Superstition

Only available on StudyMode
  • Download(s) : 160
  • Published : February 19, 2013
Open Document
Text Preview
FRONT PAGE
PRACTICE EXAM – CONTENT OF FINAL EXAM WILL VARY!

Student name:
Student CPR-number:
PC number (the PC you work on):
Course Name: Experiment Design and Analysis – Fall 2009
Course code: DEDA
Exam Date: January 5th, 2010
Time of Exam: 09:00 – 13:00 [4 hours]
Course convener: Dr. Anders Drachen

This exam document has 10 pages
Number of questions in this exam: 24

Information about exam aids:
This is an A3-type exam: Written examination with all written and printed aids, and PC with access to internet and personal folders.


 

SECTION 1: MULTIPLE-CHOICE
Total worth: 30 points
REPORT THE RIGHT ANSWER/ANSWERS LIKE THIS:
Q”number”, “answer”
For example: q15,2
(MULTIPLE RIGHT ANSWERS ARE POSSIBLE)
1. The standard deviation is the square root of:
1.
2.
3.
4.

the coefficient of determination
sum of squares
variance
range

2. Which of the following is true about a 95% confidence interval of the mean of a given sample:
1. 95 out of 100 sample means will fall within the limits of the confidence interval. 2. There is a 95% chance that the population mean will fall within the limits of the confidence interval.
3. 95 out of 100 population means will fall within the limits of the confidence interval. 3. What does a significant test statistic tell us?
1.
2.
3.
4.

There is an important effect.
The hull hypothesis is false.
There is an effect in the population of sufficient magnitude to be scientifically interesting. All of the above.

4. A type I error is when:
1.
2.
3.
4.

We conclude that there is a meaningful effect in the population when in fact there is not. We conclude that there is not a meaningful effect in the population when in fact there is. We conclude that the test statistic is significant when in fact it is not. The data we have typed into SPSS is different to the data collected.

5. If we calculated an effect size and found it was r = .42 which expression would best describe the size of effect:
1.
2.
3.
4.

small
small-to-medium
large
medium-to-large


 

6. What is a significance level?
1.
2.
3.
4.

The level at which statistics finally become meaningful to a stein The impact that reporting statistics incorrectly could have
A pre-set level of probability that the results are correct
A pre-set level of probability at which it will be accepted that results are due to chance or not.

7. What is the conventional level of probability that is often accepted when conducting statistical tests?
1.
2.
3.
4.

0.1
0.05
0.5
0.001

8. A null hypothesis:
1.
2.
3.
4.

states that the experimental treatment will have an effect
is rarely used in experiments
predicts that the experimental treatment will have no effect none of the above

9. Which of the following terms best describes the sentence: ‘In a blind-tasting, people will not be able to tell the difference between margarine and butter’ 1.
2.
3.
4.

a directional hypothesis
an operational definition
a null hypothesis
a non-directional hypothesis

10. Which of the following are assumptions underlying the use of parametric tests (based on the normal distribution)?
1.
2.
3.
4.

the data should be normally distributed
the samples being tested should have approximately equal variances your data should be at least interval level
all of the above

11. If a Kolmogorov-Smirnov test is conducted and the result is significant, what does this mean for the data sample?
1.
2.
3.
4.

The data sample is normally distributed
The comparison used in the test is not valid
The data sample is not normally distributed
The test is wrong


 

12. What is an outlier?
1.
2.
3.
4.

A set of data outside the data file
A single score that is very different form the others
A score derived from a participant who has lied
A variable that cannot be quantified

13. The covariance is
1.
2.
3.
4.

An unstandardized version of the correlation...
tracking img