OpenLab #7: Pick a topic (or three)

In the second half of the semester, we’ll be working on creating an annotated study guide for use in preparing for the final. Everyone will be responsible for creating a guide explaining how to do one type of problem.

Assignment (Due Thursday, April 4, 2:30pm). The list below gives an overview of topics/types of problems covered in the class. ┬áIn this assignment, you should choose THREE of the following topics that you think are interesting or might like to work on. ┬áOne or more of your choices must be from the second half of the class (items 10-18, things we have not studied yet). ┬áDon’t be afraid to choose a topic you don’t know – you will have opportunity to learn, ask questions, and get help along the way! ┬áRespond to this post, including your top three choices (give both the number and name of your choice, for example “my first choice is: #5, probability and counting”).

  1. Frequency distributions (sec 2.1). tallying data, classes, relative frequencies and percentages, histograms
  2. Measures of central tendency (sec 2.3). mean, median, mode
  3. Measures of variation (sec 2.4). range, variance, standard deviation
  4. Representing data visually (sec 2.2, 2.5).  stem-and-leaf plots, quartiles, box-and-whiskers plots
  5. Probability and counting (sec 3.1, 3.4). combinations, permutations, sample space, events, probabilities
  6. Combining probabilities┬á(sec 3.2, 3.3). multiplication rule “and”, addition rule “or”, mutually exclusive events
  7. Independent events (sec 3.2).  conditional probability, given, independent
  8. Discrete probability distributions (sec 4.1).  mean, standard deviation, probability distributions based on frequency, based on tree diagram
  9. Binomial distributions (sec 4.2).  trials, success, failure, binomial formula, finding probabilities in binomial distributions
  10. The Normal Distribution (sec 5.1, 5.2, 5.3).  z score, finding probabilities, finding values
  11. Normal Approximations to Binomial Distributions (sec 5.5). solving binomial problems using the normal distribution, continuity correction
  12. Sample Mean problems (sec 5.4) finding probabilities involving the sample mean
  13. Hypothesis Testing for the Mean (Large Samples) (sec 7.2), null hypothesis, alternative hypothesis, level of significance, rejection region, critical value, z-test
  14. Hypothesis Testing for the Mean (Small Samples) (sec 7.3), null hypothesis, alternative hypothesis, rejection region, critical value, degrees of freedom, t-test
  15. Correlation (sec 9.1), positive and negative correlation, correlation coefficient
  16. Linear Regression (sec 9.2), find equation of the line of best fit/regression line, use it to predict values
  17. Goodness-of-Fit Test (sec 10.1), multinomial experiments, chi-square test
  18. Independence (sec 10.2), chi-square test for independence

32 thoughts on “OpenLab #7: Pick a topic (or three)

  1. i will try to experiment with #1 Frequency distributions (sec 2.1) , #8 Discrete probability distributions (sec 4.1). and # 15 Correlation (sec 9.1)

  2. I will experiment with:

    #13. Hypothesis Testing for the Mean (Large Samples) (sec 7.2), null hypothesis, alternative hypothesis, level of significance, rejection region, critical value, z-test
    I chose #13 because I have had difficulty with it in the past in Maths 1180

    # 7 Independent events (sec 3.2). conditional probability, given, independent

    #2 Measures of central tendency (sec 2.3). mean, median, mode

  3. I will do
    #2 measures of central tendency sec 2.3 (mean,median,mode)
    #6 combining probabilities sec 3.2,3.3 ( multiplications rule “and” addition rule “or” mutually exclusive events
    #8 discrete probability distribution sec 4.1 ( mean, standard deviation, probability distribution based on frequency , based on tree diagram

  4. My first choise is 1.Frequency distributions (sec 2.1). tallying data, classes, relative frequencies and percentages, histograms
    2nd.Measures of central tendency (sec 2.3). mean, median, mode
    3rd.14.Hypothesis Testing for the Mean (Small Samples) (sec 7.3), null hypothesis, alternative hypothesis, rejection region, critical value, degrees of freedom, t-test

  5. My First choice is – #9 Binomial distributions (sec 4.2) – trials, success, failure, binomial formula, finding probabilities in binomial distributions.

    My Second choice is – #6 Combining probabilities (sec 3.2, 3.3) – multiplication rule ÔÇťandÔÇŁ, addition rule ÔÇťorÔÇŁ, mutually exclusive events

    My Third choice is – #15 Correlation (sec 9.1) – positive and negative correlation, correlation coefficient

  6. Hi,

    I would attempt these three topics:

    1. Normal Approximations to Binomial Distributions (sec 5.5). solving binomial problems using the normal distribution, continuity correction.

    2. Binomial distributions (sec 4.2). trials, success, failure, binomial formula, finding probabilities in binomial distributions, and

    3. Representing data visually (sec 2.2, 2.5). stem-and-leaf plots, quartiles, box-and-whiskers plots.

  7. I will attempt to do these three topics

    First Choice 2. Measures of Central Tendency Mean, Median, Mode (Sec 2.3)
    Second Choice 1. Frequency Distribution (Sec 2.1)
    Third Choice 10. The Normal Distribution (Sec 5.1, 5.2, 5.3)

  8. The three topics I chose is:

    1. Frequency distributions (sec 2.1). tallying data, classes, relative frequencies and percentages, histograms
    10. The Normal Distribution (sec 5.1, 5.2, 5.3). z score, finding probabilities, finding values
    12. Sample Mean problems (sec 5.4) finding probabilities involving the sample mean

  9. My choices are:
    1- 2) Measures of central tendency (sec 2.3). mean, median, mode

    2- 3) Measures of variation (sec 2.4). range, variance, standard deviation

    3- 13) Hypothesis Testing for the Mean (Large Samples) (sec 7.2), null hypothesis, alternative hypothesis, level of significance, rejection region, critical value, z-test

  10. my first choice is #9. Binomial distributions (sec 4.2). trials, success, failure, binomial formula, finding probabilities in binomial distributions

    my second choice is #3. Measures of variation (sec 2.4). range, variance, standard deviation

    my third choice is #13. Hypothesis Testing for the Mean (Large Samples) (sec 7.2), null hypothesis, alternative hypothesis, level of significance, rejection region, critical value, z-test

  11. #1: (topic 8) Discrete probability distributions (sec 4.1). mean, standard deviation, probability distributions based on frequency, based on tree diagram

    #2: (topic 10) The Normal Distribution (sec 5.1, 5.2, 5.3). z score, finding probabilities, finding values

    #3: (topic 15) Correlation (sec 9.1), positive and negative correlation, correlation coefficient

  12. #1. Frequency distributions (sec 2.1). tallying data, classes, relative frequencies and percentages, histograms
    #2. Measures of central tendency (sec 2.3). mean, median, mode
    #10. The Normal Distribution (sec 5.1, 5.2, 5.3). z score, finding probabilities, finding values

  13. I will work on the following:

    (1) Discrete probability distributions: mean, standard deviation, probability distributions based on frequency, based on tree diagram

    (2) Correlation: positive and negative correlation, correlation coefficient

    (3) Linear Regression: find equation of the line of best fit/regression line, use it to predict values

  14. My first choice is #1. Frequency distributions (sec 2.1). tallying data, classes, relative frequencies and percentages, histograms
    Second choi e is #2. Measures of central tendency (sec 2.3). mean, median, mode
    And third choice is #15 Correlation (sec 9.1), positive and negative correlation, correlation coefficient

  15. My Choices:
    1)Measures of variation (sec 2.4). range, variance, standard deviation

    2)Discrete probability distributions (sec 4.1). mean, standard deviation, probability distributions based on frequency, based on tree diagram

    3)Normal Approximations to Binomial Distributions (sec 5.5). solving binomial problems using the normal distribution, continuity correction

  16. My choices are as follows:
    6. Combining probabilities (sec 3.2, 3.3). multiplication rule ÔÇťandÔÇŁ, addition rule ÔÇťorÔÇŁ, mutually exclusive events
    12. Sample Mean problems (sec 5.4) finding probabilities involving the sample mean
    14. Linear Regression (sec 9.2), find equation of the line of best fit/regression line, use it to predict values

  17. I will do:

    #1 Frequency distributions (sec 2.1). tallying data, classes, relative frequencies and percentages, histograms
    #13 Hypothesis Testing for the Mean (Large Samples) (sec 7.2), null hypothesis, alternative hypothesis, level of significance, rejection region, critical value, z-test
    #14 Hypothesis Testing for the Mean (Small Samples) (sec 7.3), null hypothesis, alternative hypothesis, rejection region, critical value, degrees of freedom, t-test

  18. My 1st choice: Representing data visually (sec 2.2, 2.5). stem-and-leaf plots, quartiles, box-and-whiskers plots

    My 2nd choice: Measures of variation (sec 2.4). range, variance, standard deviation

    My 3rd choice: Goodness-of-Fit Test (sec 10.1), multinomial experiments, chi-square test

  19. My choices:
    1)Discrete probability distributions (sec 4.1). mean, standard deviation, probability distributions based on frequency, based on tree diagram

    2)Binomial distributions (sec 4.2). trials, success, failure, binomial formula, finding probabilities in binomial distributions

    3)The Normal Distribution (sec 5.1, 5.2, 5.3). z score, finding probabilities, finding values

  20. My choices: Disregard other, thank you

    1)Hypothesis Testing for the Mean (Large Samples) (sec 7.2), null hypothesis, alternative hypothesis, level of significance, rejection region, critical value, z-test

    2)Hypothesis Testing for the Mean (Small Samples) (sec 7.3), null hypothesis, alternative hypothesis, rejection region, critical value, degrees of freedom, t-test

    3)Correlation (sec 9.1), positive and negative correlation, correlation coefficient

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