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Statistiek I samenvatting

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Samenvatting van het vak Statistiek I. In de samenvatting is gewerkt met het programma R studio. Het bevat de colleges, codes van het programma en uitgebreide informatie over de verschillende testen.

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  • R studio codes
  • November 4, 2019
  • 10
  • 2019/2020
  • Summary
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Available practice questions

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Some examples from this set of practice questions

1.

You determine the average response time (RT) of two groups of students on a test where sentences and pictures must be matched. One group consists of 10 students who have Dutch as their mother tongue, the other group consists of 10 students with other mother tongues. You perform an appropriate test to check if the groups differ in RT. After performing the test, the p-value turns out to be 0.02 (two sided). What does this mean?

Answer: If the groups are equal, the chance of samples with this or a bigger difference is 2%.

2.

Marie scored 324 points in a test for speaking skills in Spanish. This corresponds to a z score of -1.2. What does that mean?

Answer: The z-score shows how far the score 324 is away from the mean in standard deviations.

3.

A study that investigated the effects of different therapies for dyslexic children used the following variables: (i) Gender (1 = male, 2 = female) (ii) Age category (4-7, 8-12, 13-16) (iii) Reading skills (0 = bad, 1 = sufficient, 3 = good) (iv) Form recognition (time in seconds) How many of these variables are on an ordinal measurement level?

Answer: 2

4.

You want to compare the average response time (RT) of two groups of students on a test where sentences and technical images must be linked to each other. One group consists of 10 bachelor students and the other group consists of 10 master students. After examining the data, you realise that the RT of one of the groups is not normally distributed. Which test is the most appropriate?

Answer: Mann-Whitney U-test.

5.

You determine the average response time (RT) for a group of students for nouns versus verbs. Your hypotheses are: there is no difference in RT between nouns and verbs (H0) and there is a difference in RT between nouns and verbs (Ha). You chose an alpha level of 0.01, and you conduct an appropriate test to determine whether there is a difference between the two types of words. After conducting the test, the result is a p-value of 0.015 (two tailed). What is your conclusion?

Answer: I maintain H0

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