What's wrong with the hypothesis below?
H1. There is no relationship between video game use and reaction time.
PSM530 Review for PSM403
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University
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Jennifer Gerson
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8 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What's wrong with the hypothesis below?
H1. There is no relationship between video game use and reaction time.
The hypothesis predicts a lack of relationship.
The hypothesis not logical
Nothing, this is a good hypothesis
Answer explanation
Hypotheses should always be logical, testable, refutable and positively worded.
2.
MULTIPLE SELECT QUESTION
45 sec • 1 pt
Which of the below are types of categorical data? Select all that apply.
Binary
Ratio
Nominal
Ordinal
Answer explanation
Categorical data is made up of categories. For example:
Binary: Yes/No, Male/Female
Ordinal: 1st prize, 2nd prize, 3rd prize
Nominal: Blue/Yellow/Red, Mild/Moderate/Severe
3.
MULTIPLE SELECT QUESTION
45 sec • 1 pt
Which of the below are types of continuous data? Select all that apply.
Interval
Ordinal
Ratio
Binary
Answer explanation
Interval data means that equal intervals on the variable represent equal differences in the property being measured. For example, temperature. The difference between 2 degrees and 4 degrees is the same as the difference between 6 degrees and 8 degrees.
Ratio data is the same, but the ratios of scores on the scale must also make sense and it has a true 0. Example: Weight. Something that weighs 12 pounds is double the weight of something that weighs 6 pounds. You can have an absence of weight (0 pounds).
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
The doctor in this image has concluded that there is an effect, when actually, there isn't one. What type of error is he committing?
Type I
Type II
Answer explanation
Type I error occurs when we believe that there is a genuine effect in our population when, in fact, there isn’t.
Type II error occurs when we believe that there is no effect in the population when, in reality, there is.
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
We assume normality in samples of 30+ because of the....
Normality hypothesis
Central Limits Theorem
Butterfly effect
Pearson-Spearman curve
Answer explanation
The central limits theorem states that given a random and independent samples of N observations each, the distribution of sample means approaches normality as the size of N increases
...huh?
Basically, this means that distribution of the population doesn’t matter if sample size is large. Because the sampling distribution of the mean is usually normal for large samples (n>40).
6.
MULTIPLE SELECT QUESTION
45 sec • 1 pt
To find out if your data is normally distributed, which of the following methods could you use?
Check skew & kurtosis numbers
Run a spearman correlation
Create a histogram
Run Levene's test
Answer explanation
Histograms and skew & kurtosis checks are great ways to double check normality.
Levene's test is used to check homogeneity of variance for t-tests.
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
You run a Pearson's correlation between job stress and work-life balance.
You find a significant correlation of r=0.71. Is this a weak, moderate or strong correlation?
Weak correlation
Moderate correlation
Strong correlation
Answer explanation
Pearson correlations are between -1 and +1.
Correlations .1 to .3 are considered weak, .4 to .6 are considered moderate and .7 to .9 are considered strong.
+1 or -1 is a perfect correlation
8.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
If you ran a t-test, you would be looking for....
Whether the sample had a normal distribution
The linear relationship between two variables
Differences between groups
Infinity stones
Answer explanation
T-tests look to see if there are significant differences between two groups! This term, we'll learn how to test for differences between 3+ groups with ANOVA.
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