Statistics Exam 1 Flashcards
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Questions and Answers

What is the term for asking all the students in your math class?

  • Stratified
  • Cluster
  • Convenience (correct)
  • Simple Random
  • What is the method of writing everyone's name on a playing card, shuffling the deck, and then choosing the top 20 cards?

  • Systematic
  • Stratified
  • Simple Random (correct)
  • Cluster
  • Selecting a classroom number at random and surveying all the students in that room is known as?

  • Cluster (correct)
  • Systematic
  • Stratified
  • Convenience
  • What is the sampling method called when separating all students by grade level and selecting 10 from each grade?

    <p>Stratified</p> Signup and view all the answers

    Calling every 15th phone number on every 5th page of the phone book is an example of?

    <p>Systematic</p> Signup and view all the answers

    What term is used to discuss the 'middle' or the 'average' of a set of data?

    <p>Central Tendency</p> Signup and view all the answers

    How spread out the data is is referred to as?

    <p>Variability</p> Signup and view all the answers

    What is the commonly used average in statistical calculations?

    <p>Mean</p> Signup and view all the answers

    Which measure of central tendency is used with asymmetrical data?

    <p>Median</p> Signup and view all the answers

    The most common value in a set of data is called?

    <p>Mode</p> Signup and view all the answers

    What does a z-score represent?

    <p>Distance from the mean in standard deviations</p> Signup and view all the answers

    What is the z-score formula?

    <p>z = (x - μ) / σ</p> Signup and view all the answers

    What does the Range Rule of Thumb tell us?

    <p>Most data points are within two standard deviations.</p> Signup and view all the answers

    What is the term for looking for the middle value while ignoring outliers?

    <p>Median</p> Signup and view all the answers

    What is a list of all the outcomes in a statistical experiment called?

    <p>Sample space</p> Signup and view all the answers

    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?

    <p>Permutation</p> Signup and view all the answers

    In the scenario of rearranging the letters in the word MATH, would you use a combination or a permutation?

    <p>Permutation</p> Signup and view all the answers

    When selecting children for an advertisement, would you use a combination or a permutation?

    <p>Combination</p> Signup and view all the answers

    To determine how many four-card hands can be dealt from a 52-card deck, would you use a combination or a permutation?

    <p>Combination</p> Signup and view all the answers

    To schedule the appearances of seven bands at a festival, would you use a combination or a permutation?

    <p>Permutation</p> Signup and view all the answers

    What is another way of saying the probability on a continuous distribution?

    <p>The area under the density function.</p> Signup and view all the answers

    What is the purpose of normalcdf in a calculator?

    <p>Finding the probability of being between two data points.</p> Signup and view all the answers

    What is the purpose of invNorm in a calculator?

    <p>Finding a data point, given the probability of being less than that data point.</p> Signup and view all the answers

    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.

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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.

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