Types of Statistics Flashcards

1
Q

Which of the following is a type of descriptive statistics?

A) Mean
B) Hypothesis Testing
C) Confidence Interval
D) Probability

A

A) Mean

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2
Q

Inferential statistics is primarily concerned with:

A) Estimating probabilities
B) Describing data
C) Making inferences about a population
D) Summarizing sample data

A

C) Making inferences about a population

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3
Q

What type of statistics would you use to summarize data from a survey?

A) Inferential statistics
B) Descriptive statistics
C) Non-parametric statistics
D) Parametric statistics

A

B) Descriptive statistics

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4
Q

Which of the following is an example of inferential statistics?

A) Calculating the average age in a dataset
B) Estimating the population mean from a sample
C) Listing the modes
D) Calculating variance

A

B) Estimating the population mean from a sample

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5
Q

Which type of statistics involves making predictions about a population based on a sample?

A) Inferential statistics
B) Descriptive statistics
C) Probability
D) Non-parametric statistics

A

A) Inferential statistics

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6
Q

Parametric tests generally assume:

A) No assumptions about the population
B) Normal distribution of the population
C) Small sample sizes
D) Ordinal data

A

B) Normal distribution of the population

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7
Q

Which of the following is an example of non-parametric statistics?

A) T-test
B) ANOVA
C) Chi-square test
D) Correlation coefficient

A

C) Chi-square test

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8
Q

Descriptive statistics include all of the following except:

A) Mean
B) Mode
C) Standard deviation
D) Hypothesis testing

A

D) Hypothesis testing

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9
Q

Which of the following is typically not considered descriptive statistics?

A) Range
B) Median
C) Hypothesis testing
D) Standard deviation

A

C) Hypothesis testing

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10
Q

When comparing two unrelated groups with unknown distribution, which statistical test is appropriate?

A) T-test
B) Chi-square test
C) Z-test
D) ANOVA

A

B) Chi-square test

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11
Q

Which measure is often used in descriptive statistics to represent the center of a dataset?

A) Mean
B) Standard deviation
C) Frequency
D) Hypothesis testing

A

A) Mean

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12
Q

In inferential statistics, the process of estimating population parameters from sample statistics is called:

A) Estimation
B) Prediction
C) Summarization
D) Observation

A

A) Estimation

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13
Q

Which statistical test is commonly used for non-normally distributed data?

A) T-test
B) ANOVA
C) Chi-square test
D) Z-test

A

C) Chi-square test

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14
Q

Descriptive statistics are primarily used to:

A) Infer data for a population
B) Make predictions
C) Summarize and organize data
D) Draw conclusions from data

A

C) Summarize and organize data

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15
Q

The chi-square test is an example of:

A) Parametric statistics
B) Inferential statistics
C) Non-parametric statistics
D) Descriptive statistics

A

C) Non-parametric statistics

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16
Q

When data does not meet normality, which of the following tests is preferred?

A) Z-test
B) T-test
C) Mann-Whitney U test
D) Correlation

A

C) Mann-Whitney U test

17
Q

Which type of statistics is used to test hypotheses?

A) Parametric
B) Non-parametric
C) Descriptive
D) Inferential

A

D) Inferential

18
Q

Inferential statistics often uses which of the following concepts?

A) Sample size
B) Standard deviation
C) Significance testing
D) Range

A

C) Significance testing

19
Q

Which type of statistics would be used to determine if there is a relationship between two variables?

A) Parametric
B) Descriptive
C) Inferential
D) Non-parametric

A

C) Inferential

20
Q

The primary difference between descriptive and inferential statistics is:

A) The use of population parameters
B) The use of sample data
C) The method of collecting data
D) The purpose of data analysis

A

D) The purpose of data analysis

21
Q

Which of the following is true for parametric statistics?

A) It does not rely on population assumptions
B) It requires small sample sizes
C) It assumes normal distribution
D) It is rarely used

A

C) It assumes normal distribution

22
Q

Non-parametric tests are often used when:

A) Data is not normally distributed
B) Population parameters are known
C) Data is normally distributed
D) Sample size is large

A

A) Data is not normally distributed

23
Q

When is descriptive statistics not sufficient?

A) When the entire population can be studied
B) When making predictions or generalizations about a population
C) When data has no variability
D) When only summary is required

A

B) When making predictions or generalizations about a population

24
Q

Which of the following would be considered a part of inferential statistics?

A) Mean calculation
B) Creating a pie chart
C) Hypothesis testing
D) Calculating the mode

A

C) Hypothesis testing

25
Q

Non-parametric tests are suitable for data that is:

A) Normally distributed
B) Ordinal or nominal
C) Ratio
D) Interval

A

B) Ordinal or nominal