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Questions and Answers
What is the entire group of individuals being studied in research called?
What is the entire group of individuals being studied in research called?
Population
What is a subset of individuals that is selected from a population for analysis called?
What is a subset of individuals that is selected from a population for analysis called?
Sample
What is the term for the differences in sample estimates from the population?
What is the term for the differences in sample estimates from the population?
Sampling variation
What is a distribution of sample means from repeated samples called?
What is a distribution of sample means from repeated samples called?
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What is a statistical measure that estimates the precision of a sample mean relative to the population mean?
What is a statistical measure that estimates the precision of a sample mean relative to the population mean?
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What statistical measure quantifies the variability of individual observations around their mean?
What statistical measure quantifies the variability of individual observations around their mean?
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What is the term for a range that estimates a true population parameter with a certain level of confidence?
What is the term for a range that estimates a true population parameter with a certain level of confidence?
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What statistical value represents the probability of observing the data under the null hypothesis?
What statistical value represents the probability of observing the data under the null hypothesis?
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What type of distribution is symmetrical and where the mean equals the median?
What type of distribution is symmetrical and where the mean equals the median?
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What does 'n' represent in statistics?
What does 'n' represent in statistics?
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What is the average value of a set of numbers called?
What is the average value of a set of numbers called?
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What refers to the extent to which values in a dataset spread from the mean?
What refers to the extent to which values in a dataset spread from the mean?
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What is a procedure for determining if a hypothesis is true?
What is a procedure for determining if a hypothesis is true?
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What statistical approach focuses on the frequency of events in sampling?
What statistical approach focuses on the frequency of events in sampling?
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What branch of statistics focuses on drawing conclusions about populations based on samples?
What branch of statistics focuses on drawing conclusions about populations based on samples?
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What branch of statistics is primarily used for summarizing characteristics of a data set?
What branch of statistics is primarily used for summarizing characteristics of a data set?
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What refers to the probability of correctly rejecting a false null hypothesis?
What refers to the probability of correctly rejecting a false null hypothesis?
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What are procedures for making inferences about populations called?
What are procedures for making inferences about populations called?
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What statistical measure represents the average of squared deviations from the mean?
What statistical measure represents the average of squared deviations from the mean?
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What is the sMFQ?
What is the sMFQ?
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What is the term for the distribution of means from multiple samples taken from the same population?
What is the term for the distribution of means from multiple samples taken from the same population?
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What does 'Mean of the Means' refer to?
What does 'Mean of the Means' refer to?
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What is another term for the normal distribution?
What is another term for the normal distribution?
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What does the Central Limit Theorem state about the sampling distribution of the mean?
What does the Central Limit Theorem state about the sampling distribution of the mean?
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What is a standardized score that indicates the distance of a data point from the mean in terms of standard deviations?
What is a standardized score that indicates the distance of a data point from the mean in terms of standard deviations?
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What kind of normal distribution has a mean of 0 and a SD of 1?
What kind of normal distribution has a mean of 0 and a SD of 1?
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What is the term for a range that estimates a population parameter with a specified probability?
What is the term for a range that estimates a population parameter with a specified probability?
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What statistical value measures the probability of observing data under the null hypothesis, indicating statistical significance?
What statistical value measures the probability of observing data under the null hypothesis, indicating statistical significance?
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What does the area under the curve in a probability distribution represent?
What does the area under the curve in a probability distribution represent?
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What kind of distribution is asymmetrical and where data are not evenly distributed?
What kind of distribution is asymmetrical and where data are not evenly distributed?
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What kind of skewed distribution has its tail extending to the left?
What kind of skewed distribution has its tail extending to the left?
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What is the term for the fraction of the population that falls within a specified range?
What is the term for the fraction of the population that falls within a specified range?
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What is an IQ score?
What is an IQ score?
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In a distribution, values that are significantly higher or lower than the mean are called what?
In a distribution, values that are significantly higher or lower than the mean are called what?
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What are the regions in a distribution beyond a certain threshold known as?
What are the regions in a distribution beyond a certain threshold known as?
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What is a resource used for finding z-scores and their corresponding probabilities?
What is a resource used for finding z-scores and their corresponding probabilities?
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What is the mean of all possible sample means from a given population?
What is the mean of all possible sample means from a given population?
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What does a 95% reference range represent in a normal distribution?
What does a 95% reference range represent in a normal distribution?
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What refers to the calculation of the percentage of the population that falls between two specific score limits?
What refers to the calculation of the percentage of the population that falls between two specific score limits?
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What is another term for a z-score, indicating relative position within a distribution?
What is another term for a z-score, indicating relative position within a distribution?
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What type of distribution has its mean, median, and mode all equal?
What type of distribution has its mean, median, and mode all equal?
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What is a visual representation of the shape of a normal distribution?
What is a visual representation of the shape of a normal distribution?
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What rule describes the percentage of data within 1, 2, and 3 standard deviations from the mean in a normal distribution?
What rule describes the percentage of data within 1, 2, and 3 standard deviations from the mean in a normal distribution?
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What is the method for estimating the population mean based on sample data?
What is the method for estimating the population mean based on sample data?
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What is the range of values where the true population mean is likely to lie, for a specific confidence level?
What is the range of values where the true population mean is likely to lie, for a specific confidence level?
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How is the standard error calculated in statistics?
How is the standard error calculated in statistics?
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What is the average value calculated from sample data?
What is the average value calculated from sample data?
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What represents the number of standard deviations from the mean in a normal distribution?
What represents the number of standard deviations from the mean in a normal distribution?
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What is the logarithm of the odds ratio for binary outcomes?
What is the logarithm of the odds ratio for binary outcomes?
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In hypothesis testing , what assumption is made that there is no effect or association between groups?
In hypothesis testing , what assumption is made that there is no effect or association between groups?
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What is the probability of observing the data under the null hypothesis, used in hypothesis testing?
What is the probability of observing the data under the null hypothesis, used in hypothesis testing?
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What ratio compares the probabilities of an event occurring between two groups?
What ratio compares the probabilities of an event occurring between two groups?
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What ratio compares the odds of an event occurring between two groups?
What ratio compares the odds of an event occurring between two groups?
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What is the term for the comparison of average values between two groups?
What is the term for the comparison of average values between two groups?
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What ratio compares event rates between two groups?
What ratio compares event rates between two groups?
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What is the difference in the probabilities of an event occurring between two groups?
What is the difference in the probabilities of an event occurring between two groups?
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What ratio is used to compare the hazard rates between two groups?
What ratio is used to compare the hazard rates between two groups?
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What refers to the degree of certainty in statistical estimates?
What refers to the degree of certainty in statistical estimates?
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What is an estimate +/- 1.64 x SE used to express a 90% certainty in estimating a population parameter?
What is an estimate +/- 1.64 x SE used to express a 90% certainty in estimating a population parameter?
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What does a wider confidence intreval suggest?
What does a wider confidence intreval suggest?
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What is the actual value of a parameter in the population?
What is the actual value of a parameter in the population?
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What does statistical interpretation of a 95% CI suggest?
What does statistical interpretation of a 95% CI suggest?
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What is the process of drawing multiple samples to estimate population parameters?
What is the process of drawing multiple samples to estimate population parameters?
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What refers to the differences in sample estimates caused by random sampling?
What refers to the differences in sample estimates caused by random sampling?
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What refers to the difference between the means of two groups?
What refers to the difference between the means of two groups?
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What measure quantifies the variability of sample means?
What measure quantifies the variability of sample means?
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What is the probability of observing extreme results in one direction in hypothesis testing?
What is the probability of observing extreme results in one direction in hypothesis testing?
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What is the assumption made in hypothesis testing that there is no effect between groups?
What is the assumption made in hypothesis testing that there is no effect between groups?
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What is a standardized score that indicates how many standard errors a value is from the mean?
What is a standardized score that indicates how many standard errors a value is from the mean?
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What is the PANSS Score?
What is the PANSS Score?
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What does AUC represent in probability distributions?
What does AUC represent in probability distributions?
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What is the term used to describe a result that is unlikely to have occurred due to chance, often with a p-value < 0.05?
What is the term used to describe a result that is unlikely to have occurred due to chance, often with a p-value < 0.05?
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What is a range of values that likely contains the true population parameter?
What is a range of values that likely contains the true population parameter?
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What is the calculated difference between group means?
What is the calculated difference between group means?
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What is the distribution of sample means from repeated sampling, used to infer population parameters?
What is the distribution of sample means from repeated sampling, used to infer population parameters?
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What is a significant deviation from the null hypothesis, often indicating a statistically significant result?
What is a significant deviation from the null hypothesis, often indicating a statistically significant result?
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What is the likelihood that results occurred due to random variation, rather than a real effect?
What is the likelihood that results occurred due to random variation, rather than a real effect?
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What indicates insufficient data to strongly reject the null hypothesis?
What indicates insufficient data to strongly reject the null hypothesis?
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What refers to the process of presenting findings in a statistically meaningful way, considering significance and context?
What refers to the process of presenting findings in a statistically meaningful way, considering significance and context?
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What is a clear expression of the treatment effect in research findings, often used in reporting results?
What is a clear expression of the treatment effect in research findings, often used in reporting results?
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What is the standard cutoff used for determining statistical significance in research, often set at 0.05?
What is the standard cutoff used for determining statistical significance in research, often set at 0.05?
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What resource is used for finding critical values in statistical tests, often used for calculating confidence intervals?
What resource is used for finding critical values in statistical tests, often used for calculating confidence intervals?
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What is the actual measured difference in study results, often used in comparing groups?
What is the actual measured difference in study results, often used in comparing groups?
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What is the understanding of the probability associated with the null hypothesis, crucial for interpreting the results?
What is the understanding of the probability associated with the null hypothesis, crucial for interpreting the results?
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Flashcards
Population
Population
Entire group being studied in research.
Sample
Sample
Subset of the population for analysis.
Sampling Variation
Sampling Variation
Differences in sample estimates from population.
Sampling Distribution
Sampling Distribution
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Standard Error (SE)
Standard Error (SE)
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Standard Deviation (SD)
Standard Deviation (SD)
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Confidence Interval
Confidence Interval
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P Value
P Value
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Normal Distribution
Normal Distribution
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Sample Size (n)
Sample Size (n)
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Mean
Mean
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Dispersion
Dispersion
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Hypothesis Testing
Hypothesis Testing
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Frequentist Statistics
Frequentist Statistics
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Inferential Statistics
Inferential Statistics
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Descriptive Statistics
Descriptive Statistics
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Power
Power
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Statistical Tests
Statistical Tests
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Variance
Variance
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Sampling Distribution of the Mean
Sampling Distribution of the Mean
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Mean of the Means
Mean of the Means
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Normal Distribution
Normal Distribution
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Gaussian Distribution
Gaussian Distribution
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Standard Deviation (SD)
Standard Deviation (SD)
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Central Limit Theorem
Central Limit Theorem
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Z Score
Z Score
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Standard Normal Distribution
Standard Normal Distribution
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Confidence Interval
Confidence Interval
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P Value
P Value
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Area Under the Curve
Area Under the Curve
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Skewed Distribution
Skewed Distribution
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Negatively Skewed
Negatively Skewed
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Positively Skewed
Positively Skewed
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Proportion
Proportion
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IQ Score
IQ Score
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Extreme Scores
Extreme Scores
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Tails of Distribution
Tails of Distribution
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Look-Up Table
Look-Up Table
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Sampling Distribution Mean
Sampling Distribution Mean
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95% Reference Range
95% Reference Range
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Proportions Between Values
Proportions Between Values
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Standardized Score
Standardized Score
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Symmetrical Distribution
Symmetrical Distribution
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Bell Curve
Bell Curve
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68-95-99.7 Rule
68-95-99.7 Rule
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Confidence Interval Calculation
Confidence Interval Calculation
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95% Confidence Interval (CI)
95% Confidence Interval (CI)
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Standard Error (SE)
Standard Error (SE)
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Estimated Mean
Estimated Mean
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Z-Score
Z-Score
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Log Odds Ratio (OR)
Log Odds Ratio (OR)
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Null Hypothesis
Null Hypothesis
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P-Value
P-Value
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Risk Ratio
Risk Ratio
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Odds Ratio
Odds Ratio
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Study Notes
Key Statistical Concepts
- Population: The complete group being studied.
- Sample: A subset of the population used for analysis.
- Sampling Variation: Differences in sample estimates compared to the population.
- Sampling Distribution: The distribution of sample means from repeated samples.
- Standard Error (SE): The precision of the sample mean estimate relative to the population.
- Standard Deviation (SD): Measures how spread out data points are from the mean.
- Confidence Interval (CI): A range of values where the true population parameter is likely to fall.
- P-value: The probability of observing data as extreme as, or more extreme than, the observed results, assuming the null hypothesis is true.
- Normal Distribution: A symmetrical bell-shaped distribution where the mean, median, and mode are equal.
- Sample Size (n): The number of observations in a sample.
- Mean: The average value of a set of numbers.
- Dispersion: The spread of data values around the mean.
- Hypothesis Testing: A procedure used to determine if a hypothesis about a population is supported by the evidence from a sample.
- Frequentist Statistics: An approach to statistics based on the frequency of events in repeated sampling.
- Inferential Statistics: Statistics used to draw conclusions about populations based on samples.
- Descriptive Statistics: Statistics used to summarize and describe data characteristics.
- Power: The probability of correctly rejecting a false null hypothesis.
- Statistical Tests: Procedures for making inferences about populations.
- Variance: The average of the squared deviations of data points from the mean.
- sMFQ: A questionnaire assessing depressive symptoms in youth.
- Sampling Distribution of the Mean: Distribution of means from multiple samples.
- Mean of the Means: The true population mean estimated from sample means.
- Gaussian Distribution: Another name for the normal distribution.
- Central Limit Theorem: The sampling distribution of the mean approaches a normal distribution as sample size increases.
- Z-score: A standardized score indicating how many standard deviations a value is from the mean.
- Standard Normal Distribution: A normal distribution with a mean of 0 and a standard deviation of 1.
- Area Under the Curve (AUC): Represents the probability of values falling within a given range in a probability distribution.
- Skewed Distribution: An asymmetrical distribution where data is not evenly distributed.
- Negatively Skewed: A distribution with a tail extending to the left.
- Positively Skewed: A distribution with a tail extending to the right.
- Proportion: A fraction of a population within a specific range.
- IQ Score: A standardized measure of intelligence with a mean of 100 and a standard deviation of 15.
- Extreme Scores: Values significantly higher or lower than the mean.
- Tails of Distribution: Regions in a distribution beyond a specific threshold.
- Look-up Table: A resource for finding Z-scores and probabilities.
- Sampling Distribution Mean: The mean of all possible sample means from a population.
- 95% Reference Range: The interval containing 95% of values in a normal distribution.
- Proportions Between Values: Calculating the percentage of a population within specific limits or ranges.
- Standardized Score: Another term for a Z-score, indicating relative position.
- 68-95-99.7 Rule: Empirical rule for percentages of data points within 1, 2, and 3 standard deviations of the mean.
- Confidence Interval Calculation: The method of estimating the population mean based on sample data.
- 95% Confidence Interval (CI): A range where the true population mean is likely to fall with 95% certainty.
- Standard Error calculation: SD divided by the square root of sample size (n).
- Estimated Mean: The average calculated from sample data.
- Log Odds Ratio (OR): Logarithm of the odds ratio for binary outcomes.
- Null Hypothesis: An assumption that there is no effect or association in the population.
- Risk Ratio: Ratio of probabilities of an event occurring.
- Odds Ratio: Ratio of odds of an event occurring.
- Difference in Means: Comparison of average values between two groups.
- Rate Ratio: Ratio of event rates between two groups.
- Risk Difference: Difference in probabilities of an event occurring.
- Hazard Ratio: Ratio of hazard rates between two groups.
- Confidence Level: Degree of certainty in statistical estimates.
- 90% Confidence Interval calculation: Estimate +/- 1.64 x standard error.
- 99% Confidence Interval calculation: Estimate +/- 2.58 x standard error.
Statistical Concepts (Significance Determination)
- Wider Confidence Interval: A wider interval results from a higher confidence level, reducing precision.
- True Population Parameter: The actual value of a parameter in the population.
- Statistical Interpretation: 95% of CIs include the true parameter value.
- Repeated Sampling: Drawing multiple samples to estimate population parameters.
- Sampling Variation: Differences in sample estimates due to random sampling.
- Mean Difference: Difference between two group means.
- Standard Error (SE): Measure of variability in sample means.
- One-sided p-value: Probability of observing extreme results in one direction.
- Two-sided p-value: Probability considering both directions of extreme results.
- Null Hypothesis (H0): Assumption of no effect between groups.
- PANSS Score: Positive and Negative Syndrome Scale for psychiatric symptoms.
- Statistical Significance: A result is unlikely due to chance if p < 0.05.
- Confidence Interval (CI): A range that likely contains the true parameter value.
- Estimated Difference: Calculated difference between group means.
- Extreme Departure: Significant deviation from the null hypothesis.
- Probability of Chance: The likelihood that results occurred due to random variation.
- Weak Evidence: Insufficient data to strongly reject the null hypothesis.
- Reporting Results: Presenting findings with statistical context and significance.
- Improvement Statement: Clear expression of treatment effect in findings.
- Threshold for Significance: Standard cutoff for determining statistical significance.
- Observed Difference: Actual measured difference in study results.
- Interpretation of p-value: Understanding the probability related to the null hypothesis.
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Description
Test your knowledge on essential statistical concepts such as population, sample, and standard deviation. This quiz explores terms like confidence interval and p-value, crucial for understanding data analysis. Perfect for students and enthusiasts in statistics.