# Superstition

**Topics:**Normal distribution, Statistics, Arithmetic mean

**Pages:**16 (2402 words)

**Published:**February 19, 2013

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.

1

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

2

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

3

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...

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