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Questions and Answers
What is the term for asking all the students in your math class?
What is the term for asking all the students in your math class?
What is the method of writing everyone's name on a playing card, shuffling the deck, and then choosing the top 20 cards?
What is the method of writing everyone's name on a playing card, shuffling the deck, and then choosing the top 20 cards?
Selecting a classroom number at random and surveying all the students in that room is known as?
Selecting a classroom number at random and surveying all the students in that room is known as?
What is the sampling method called when separating all students by grade level and selecting 10 from each grade?
What is the sampling method called when separating all students by grade level and selecting 10 from each grade?
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Calling every 15th phone number on every 5th page of the phone book is an example of?
Calling every 15th phone number on every 5th page of the phone book is an example of?
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What term is used to discuss the 'middle' or the 'average' of a set of data?
What term is used to discuss the 'middle' or the 'average' of a set of data?
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How spread out the data is is referred to as?
How spread out the data is is referred to as?
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What is the commonly used average in statistical calculations?
What is the commonly used average in statistical calculations?
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Which measure of central tendency is used with asymmetrical data?
Which measure of central tendency is used with asymmetrical data?
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The most common value in a set of data is called?
The most common value in a set of data is called?
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What does a z-score represent?
What does a z-score represent?
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What is the z-score formula?
What is the z-score formula?
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What does the Range Rule of Thumb tell us?
What does the Range Rule of Thumb tell us?
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What is the term for looking for the middle value while ignoring outliers?
What is the term for looking for the middle value while ignoring outliers?
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What is a list of all the outcomes in a statistical experiment called?
What is a list of all the outcomes in a statistical experiment called?
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In the given scenario of a charity benefit, if you wanted to calculate how many different ways the gift certificates can be awarded, would you use a combination or a permutation?
In the given scenario of a charity benefit, if you wanted to calculate how many different ways the gift certificates can be awarded, would you use a combination or a permutation?
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In the scenario of rearranging the letters in the word MATH, would you use a combination or a permutation?
In the scenario of rearranging the letters in the word MATH, would you use a combination or a permutation?
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When selecting children for an advertisement, would you use a combination or a permutation?
When selecting children for an advertisement, would you use a combination or a permutation?
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To determine how many four-card hands can be dealt from a 52-card deck, would you use a combination or a permutation?
To determine how many four-card hands can be dealt from a 52-card deck, would you use a combination or a permutation?
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To schedule the appearances of seven bands at a festival, would you use a combination or a permutation?
To schedule the appearances of seven bands at a festival, would you use a combination or a permutation?
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What is another way of saying the probability on a continuous distribution?
What is another way of saying the probability on a continuous distribution?
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What is the purpose of normalcdf in a calculator?
What is the purpose of normalcdf in a calculator?
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What is the purpose of invNorm in a calculator?
What is the purpose of invNorm in a calculator?
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Study Notes
Sampling Methods
- Convenience Sampling: Gathering data by asking all students in a specific class, convenient but potentially biased.
- Simple Random Sampling: Involves randomly selecting individuals, similar to drawing cards from a shuffled deck.
- Cluster Sampling: Selecting a random classroom or room in a house to survey all students/items within that specific area.
- Stratified Sampling: Divides the population into subgroups (e.g., grade levels) and selects individuals from each subgroup to ensure representation.
- Systematic Sampling: Involves selecting every nth item from a list, such as every 15th phone number.
Statistical Measurements
- Central Tendency: Measures the "middle" or "average" of a dataset, including mean, median, and mode.
- Variability: Describes how spread out the data values are around the average.
Measures of Central Tendency
- Mean: Best used with symmetrical data, represents the arithmetic average and is influenced by extreme values.
- Median: Useful for asymmetrical data to minimize the effect of outliers, identifies the middle value when data is ordered.
- Mode: Refers to the most frequently occurring value in a dataset, useful in categorical data analysis.
Z-scores and Data Distribution
- Z-score: Indicates how many standard deviations a data point is from the mean, calculated using the formula z = (x - μ) / σ.
- Range Rule of Thumb: States that most data points lie within two standard deviations from the mean; values beyond this range are considered unusual.
Sample Space
- Sample Space: A comprehensive list of all possible outcomes in a statistical experiment.
Combinations and Permutations
- Permutation: Used when order matters, such as awarding different prizes or arranging letters (e.g., MATH).
- Combination: Used when order does not matter, such as selecting children for a picture or dealing cards from a deck.
Probability and Distributions
- Continuous Distribution: The probability is represented by the area under the density function curve.
- normalcdf Function: Calculates the probability of a dataset falling between two points.
- invNorm Function: Finds a specific data point based on a given probability threshold.
Application Examples
- Analyzing the number of ways to award multiple prizes or schedule events often involves calculating permutations.
- Selecting a subset from a larger group without regard to order involves combinations, applicable in various situations like group photos or card hands.
Studying That Suits You
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Description
Test your knowledge with these flashcards designed for Statistics Exam 1. Each card presents a key concept essential for understanding statistical sampling methods, including convenience, simple random, and cluster sampling. Use these to prepare effectively for your exam.