Parametric Techniques: Mean, Standard Deviation
Explore parametric techniques, including calculating the mean, median, and mode for grouped and ungrouped data. Learn how to determine variance and standard deviation, using examples such as calculating standard deviation for men's heights. Understand the use of the correlation coefficient, including Pearson's r.
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Parametric Techniques: Mean, Standard Deviation
Quiz • 25 Questions
Parametric Techniques: Mean, Standard Deviation - Flashcards
Flashcards • 21 Cards
Study Notes
5 min • Summary
Materials
List of Questions25 questions
- Question 1
- Variance
- Median
- Mean
- Mode
- Question 2
- median
- Question 3
- The mode is the most frequently occurring value in a series and is unaffected by extreme values, similar to the median.
- Question 4
- True
- False
- Question 5
- The test is inconclusive without more data
- The sample mean is equal to the population mean (p = 0.05)
- The sample mean is significantly different from the population mean (p < 0.05)
- The sample mean is not significantly different from the population mean (p ≥ 0.05)
- Question 6
- Question 7
- One limitation is that the mode remains indeterminate when there are two or more modal values in a series, meaning it can be difficult to pinpoint a single most frequent value.
- Question 8
- True
- False
- Question 9
- Parametric technique
- Non-parametric technique
- Pearson correlation
- T-test
- Question 10
- three
- Question 11
- The purpose of a Hypothesis test is to decide whether the data supports a particular theory, which implies it can be applied to a larger population.
- Question 12
- True
- False
- Question 13
- Spearman correlation
- Mann-Whitney U test
- Z-test
- Chi-square test
- Question 14
- -1, 1
- Question 15
- A Paired T-test compares means from the same group under different conditions, while an Unpaired T-test compares means from two independent groups.
- Question 16
- True
- False
- Question 17
- 8.8
- 7.8
- 6.8
- 9.8
- Question 18
- variance
- Question 19
- A Pearson correlation coefficient (r) of 0 indicates no linear relationship between the two continuous variables.
- Question 20
- True
- False
- Question 21
- 12
- 14
- 10
- 8
- Question 22
- equal
- Question 23
- Parametric techniques are typically quantity-based tests that provide records regarding the mean value of data and are used for interval data. Non-parametric techniques are quality-based tests that provide records regarding the median value of data and are used for nominal data.
- Question 24
- True
- False
- Question 25
- The results are inconclusive due to the negative Z-score.
- The sample mean is significantly different from the population mean because |-3.61| > 1.96.
- The company's claim is supported because the Z-score is negative.
- The sample mean is not significantly different from the population mean because |-3.61| < 1.96.
List of Flashcards21 flashcards
- Card 1HintThink about how you calculate your average grade in a course.Memory TipSum then Divide
- Card 2HintImagine lining up all the data points and finding the one exactly in the middle.Memory TipMiddle Value, Ordered List
- Card 3HintThink about what's 'most fashionable' or 'most popular' in a dataset.Memory TipMost Often Appears
- Card 4HintIt tells you how 'spread out' the data is around the average, after you square the deviations and take a root.Memory TipSpread from Mean
- Card 5HintIt measures how closely two things move together, and in what direction.Memory TipRelationship Strength & Direction
- Card 6HintRemember 'P' for Pearson and 'P' for parametric technique used for interval data.Memory Tip'r' for relationship
- Card 7HintThink about variables moving in the same upward direction.Memory TipBoth go up together
- Card 8HintThink about variables moving in opposite directions.Memory TipOne up, one down
- Card 9HintImagine plotting the data reveals a random scatter, not a line.Memory TipNo connection visible
- Card 10HintIt's a testable 'idea' or assumption about a population.Memory TipTestable population theory
- Card 11HintThink 'P' for 'Parametric' and 'P' for 'Population parameters' used in the test.Memory TipQuantity, Mean, Interval
- Card 12HintThink 'Non' as in 'not assuming specific distribution' or 'N' for 'Nominal data'.Memory TipQuality, Median, Nominal
- Card 13HintRemember 'T' for 'Two groups' and 'T' for 'Tiny samples' (n<30).Memory TipCompare two small means
- Card 14HintThink 'paired' as in 'before and after' or 'matched subjects'.Memory TipBefore & After
- Card 15HintThink 'unpaired' as in 'two separate, distinct groups' of people or items.Memory TipTwo independent comparisons
- Card 16HintRemember 'Z' for 'Ze large sample' (n>30) or 'Z' for 'Known population variance'.Memory TipCompare large sample mean
- Card 17HintThink 'ANOVA' for 'ANalysis Of VAriance' and 'A' for 'A lot of groups' (3+).Memory TipCompare 3+ means
- Card 18HintThink 'one way' as in 'one factor influencing the groups'.Memory TipOne factor, 3+ groups
- Card 19HintThink 'two way' as in 'two factors influencing the groups'.Memory TipTwo factors, 3+ groups
- Card 20HintIt's the claim or assumption that you are trying to disprove or reject.Memory TipNo difference, no effect
- Card 21HintThis is the claim you are trying to support if your data is strong enough.Memory TipThere is a difference