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Question # 1: Is the problem clearly stated?

Is the problemmigomendoza.weebly.com/uploads/5/4/7/4/54745209/... · Honeygirl Pulot-pukyutan feel hungry and have soup for lunch. She choose one of the 400 grams cans bought in the

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  • Question # 1:

    Is the problem

    clearly stated?

  • Question # 2:

    Does the problem

    have a theoretical

    rationale?

  • Question # 3:

    How significant

    is the problem?

  • Question # 4:

    Is there a review of

    the literature? If so, is

    it relevant?

  • Question # 5:

    How clearly are

    the hypotheses

    stated?

  • Question # 6:

    Are operational

    definitions

    provided?

  • Question # 7:

    Is the procedure (or

    methodology) used to answer

    the problem fully and

    completely described? Was a

    sample used?

  • Question # 8:Are there any probable

    sources of error that might

    influence the results of the

    study? If so, have they been

    controlled?

  • Question # 9:

    Were statistical

    techniques used to

    analyze the data? If so,

    were they appropriate?

  • Question # 10:

    How clearly are

    the results

    presented?

  • Question # 11:Are the conclusions

    presented clearly? Do the

    data support the conclusions?

    Did the researcher

    overgeneralize his findings?

  • Question # 12:

    What are the limitations

    of the study? Are they

    stated?

  • Note 1:

    Learn to abbreviate (i.e. History

    of Mathematics to HOM, United

    States to US) to avoid the

    monotonous tone in your critique

    paper.

  • Note 2:

    Being verbose is not

    necessary in writing a

    critique paper/academic

    paper.

  • Note 3:

    Observe consistency

    in tenses of verb and

    usage of words.

  • Note 4:

    Detach critique

    paper to a feature

    article.

  • Note 5:

    Select the best term/word

    that fits to the idea you

    would like to convey.

  • Note 6:

    Be exact in terms/words so

    your readers will not

    become confused.

  • Note 7:

    It is a formal paper,

    so please do not use

    slang words.

  • Note 8:

    It is a formal paper,

    shortening of word is

    not allowed.

  • Note 8:Let your presentation be well reasoned

    and objective. If you passionately

    disagree (or agree) with the author, let

    your passion inspire you to new heights

    of thorough research and reasoned

    argument.

  • Challenge your ideas...

    “to

    summarize”

  • Chapter 3SUMMARY STATISTICS

  • Summary Statistics

    The purpose of summary statistics is to

    replace a huge indigestible mass of

    numbers (the data) by just one or two

    numbers that, together, convey most

    of the essential information.

  • Note:Different statistics emphasize

    different aspects of the data

    and it will not always be

    evident which aspect is more

    important.

  • Example:In the house of Parliament (United

    Kingdom), the members of

    Parliament (MPs) were debating the

    need for road signs in Wales to give

    directions in both Welsh and English.

  • MP A:Since less than 10% of the

    population of Wales speak

    Welsh it is unnecessary to

    include directions in Welsh.

  • Reflect:

    What can you

    say? Do you agree

    or disagree?

  • MP B:Over 90% of the area of Wales

    is inhabited by a population

    whose principal language is

    Welsh – directions in Welsh are

    essential.

  • Reflect:

    What can you

    say? Do you agree

    or disagree?

  • Clarification:

    Both are correct,

    however they led to

    opposite inferences.

  • Reminder:We have to be careful to

    choose our summary

    statistics to be

    appropriate.

  • Summary Statistics for

    Univariate Data

    Measures of Location/Measures

    of Central Tendency

    Measures of

    Dispersion/Measures of Spread

  • Measures of Position

    Answer the question:

    “What sort of size values

    are we talking about?”

  • Measures of Spread

    Answer the question:

    “How much do the

    values vary?”

  • Measures of

    Location/Central Tendency

    These are statistics that

    summarize a distribution of

    scores by reporting the most

    typical or representative value

    of the distribution.

  • Measures of Location/Measures

    of Central Tendency

    The Mode

    The Media

    The Mean

  • The Mode

    The mode of a set of discrete

    data is the single value that

    occurs most frequently.

    It has limited use.

  • Kinds of Mode

    Unimodal

    Bimodal

    Multimodal

  • Unimodal

    A unique outcome

    that occur most

    frequent.

  • Bimodal

    The data is described as being

    bimodal if there are two such

    outcomes that occur with equal

    frequency then there is no unique

    mode.

  • Multimodal

    The data is multimodal if

    there are three or more

    such outcomes that occur

    most frequent.

  • Something to think

    about…

    Can there be an

    absence of mode in

    the set of data?

  • Example 3.1

    At the supermarket Ms. Honeygirl Pulot-

    pukyutan buy 8 cans of soup. According

    to the information on the tins, four have

    mass 400 grams, three have mass 425

    grams and one has mass 435 grams. Find

    the mode.

  • Example 3.2After unpacking the shopping, Ms.

    Honeygirl Pulot-pukyutan feel hungry and

    have soup for lunch. She choose one of

    the 400 grams cans bought in the

    previous example. What is an appropriate

    description of the frequency distribution

    of the remaining 7 masses?

  • The Median

    It is the positional value. It

    is the “midpoint” of the

    distribution when data are

    ranked according to size.

  • How do we find for the

    median?

    After all the observations have been

    collected, they can be arranged in a

    row in order of magnitude, with the

    smallest on the left and the largest on

    the right (or vice versa).

  • Example 3.4

    Suppose the observed

    values are 13, 34, 19, 22

    and 16. Find the media.

  • For odd number of

    observations

    If n is odd and equal to

    (2k+1), say, then the

    median is the (k+1)th

    ordered value.

  • Example 3.5

    For the soup cans in example 3.1, the

    values were:

    four 400 grams, three 425 grams and one

    435 grams

    Find the median.

  • For even number of

    observations

    If n is even and equal to

    2k, say, then the median is

    the average of the kth and

    the (k+1)th ordered values.

  • Example 3.6 A chemistry professor has an accurate weighing machine and two

    children, Kiko and Kika, who are keen on playing conkers. One day, Kiko

    and Kika collect some new conkers. On their return home, following a

    dispute over who has the best conkers, they use their father’s balance to

    determine the weights of the conkers (in grams). Their results are as follows:

    Kiko 31.4 44.4 39.5 58.7 63.6 51.5 60.0

    Kika 60.1 34.7 42.8 38.6 51.6 55.1 47.0 59.2

    Which among the collection of conkers has the higher median

    weight?

  • The Mean

    This is the average of the

    set of data. It is the center

    of the gravity of the

    distribution.

  • How to compute for the

    Mean?

    This is equal to the sum of

    all the observed values

    divided by the total

    number of observations.

  • Formula:

    𝒙 =𝒔𝒖𝒎 𝒐𝒇 𝒂𝒍𝒍 𝒕𝒉𝒆 𝒐𝒃𝒔𝒆𝒓𝒗𝒆𝒅 𝒗𝒂𝒍𝒖𝒆𝒔

    𝒕𝒐𝒕𝒂𝒍 𝒏𝒖𝒎𝒃𝒆𝒓 𝒐𝒇 𝒐𝒃𝒔𝒆𝒓𝒗𝒂𝒕𝒊𝒐𝒏𝒔

  • In Algebra:

    𝑥 =(𝑥1+ 𝑥2+⋯+ 𝑥𝑛)

    𝑛

  • Something to think about…

    What can you say about the

    value of the mean to the value

    of the mode in relation to

    individual observed values?

  • Advantages of Measures of

    Location/Central Tendency

    If a mode exists it is

    certain to have a value

    that was actually

    observed.

  • Advantages of Measures of

    Location/Central Tendency

    The median can be

    calculated in some

    cases where the mean

    or mode cannot.

  • Disadvantages of Measures of

    Location/Central Tendency

    The mode may not be

    unique (because two or

    more values may be

    equally frequent)

  • Disadvantages of Measures of

    Location/Central Tendency

    The mean may be

    significantly affected by the

    inclusion of a mistaken

    observation or of an usual

    observation.

  • Disadvantages of Measures of

    Location/Central Tendency

    The statistical properties

    of the mode and the

    median are difficult to

    determine.

  • Disadvantages of Measures of

    Location/Central Tendency

    In practice much more

    use is made of the mean

    than of either of the other

    two measures of location.

  • Time for you to Investigate:

    1. How many four-legged pets does the typical family have?

    (a)Use a tally chart to record the combined number of dogs, cats,

    hamsters, etc. for each member of your class.

    (b)Determine the mean, median, and mode of these values. Which

    was easiest to calculate?

    2. An organization wishes to estimate the total number of four-

    legged pets in your area. Which of your three statistics is likely to be

    most useful to them?

  • Let’s Practice:1. Ara Galang keeps a note of the numbers of aces that she

    received in successive deals. The numbers are: 0, 2, 3, 0, 0, 2, 1, 1,

    0, 2, 3, 0, 1, 1, 2, 1, 0, and 0. Find (a) the mode, and (b) the mean

    of the numbers of aces received.

    2. The shoe sizes of the members of a football team are: 10, 10, 8,

    11, 9, 9, 10, 11, and 10. Find (a) the mean shoe size, (b) the

    median shoe size, and (c) the modal shoe size.

    3. The marks obtained in a mathematics test marked out of 50

    were: 35, 42, 31, 27, 48, 50, 24, 27, 21, 37, 41, 34, 12, 18 and 27.

    Find (a) the mean mark and (b) the median mark.

  • Assignment:

    1.What are the levels of

    measurement? How do

    they differ from each

    other?

  • Levels of Measurement

    It is a classification of purported

    forms of measurement that

    describes the nature of

    information within the numbers

    assigned to variables.

  • Reflect:Exactly how the measurement is

    carried out depends on the type

    of variable involved in the

    analysis. Different types are

    measured differently.

  • Levels of Measurement

    (1)Nominal Level of Measurement

    (2)Ordinal Level of Measurement

    (3)Interval Level of Measurement

    (4)Ratio Level of Measurement

  • Nominal Level of

    MeasurementIt is characterized by data that

    consist of names, labels, or

    categories only. The data cannot be

    arranged in an ordering scheme

    (such as low to high).

  • Note:

    In nominal level of

    measurement, we just classify

    or categorize the response of

    each respondent.

  • Note:

    Nominal scales embody

    the lowest level of

    measurement.

  • Ordinal Level of

    MeasurementIt involves data that may be

    arranged in some order, but

    differences between data values

    either cannot be determined or

    are meaningless.

  • Ordinal Level of

    MeasurementIt involves dichotomous data with

    dichotomous values, as well as,

    non-dichotomous data which

    consists of spectrum of values.

  • Example 3.7:

    A researcher wishing to measure

    consumers’ satisfaction with their

    microwave ovens might ask them to

    specify their feelings as either “very

    dissatisfied”, “somewhat dissatisfied”,

    somewhat satisfied,” or “very satisfied”.

  • Interval Level of

    MeasurementIt is like the ordinal level, with the

    additional property that the difference

    between any two data values is

    meaningful. However, there is no

    natural zero starting point (where none

    of the quantity is present).

  • Example 3.8:

    Consider the Fahrenheit scale of

    temperature. The difference between

    30 degrees and 40 degrees represents

    the same temperature difference as

    the difference between 80 degrees

    and 90 degrees.

  • Ratio Level of

    MeasurementIt is the interval level modified to

    include the natural zero starting point

    (where zero indicates that none of the

    quantity is present). For values at this

    level, differences and ratios are

    meaningful.

  • Do you know?

    The ratio scale of

    measurement is the

    most informative scale.

  • Example 3.9:

    The amount of

    money you have in

    your pocket.

  • Considerations for Choosing a

    Measure of Central Tendency

    For a nominal variable,

    the mode is the only

    measure that can be

    used.

  • Considerations for Choosing a

    Measure of Central Tendency

    For ordinal variables, the mode

    and the median. The median

    provides more information (taking

    into account the ranking of

    categories).

  • Considerations for Choosing a

    Measure of Central Tendency

    For interval-ratio variables, the mode,

    median, and mean may all be

    calculated. The mean the most

    information about the distribution, but

    the median is preferred if the

    distribution is skewed.

  • Let’s Practice: Identify the level of

    measurement for the following:

    1. True or False Test

    2. Respondent’s Ethnicity

    3. Time of the day ( 7AM to

    8AM)

    4. Time spend in reviewing

    5. Meal Preference (Breakfast,

    Lunch, Dinner)

    6. Tape Measurement

    (Centimeters)

    7. Political Orientation

    (Republican, Domincan,

    Democratic, etc.)

    8. Weight

    9. Military Rank (Lieutenant,

    Captain, Major)

    10. Dates (January 14, 2015 to

    March 28, 2015)

    11. Skin Complexion (Brown,

    White, etc.)

    12. Likert Scale

    13. Years ( 2001, 2002, 2003,

    2004)

    14. Ruler (Inches)

    15. Income (Money Earned Last

    Year)

    16. Parts of Speech (Noun,

    Pronoun, Adjective, etc.)

    17. Grade Point Average (GPA)

    18. Gender (Female and Male)

    19. IQ

    20. Hometown (Antipolo City,

    Cardona, Rizal, etc.)

  • Answer:

    1. Ordinal

    2. Nominal

    3. Interval

    4. Ratio

    5. Nominal

    6. Ratio

    7. Nominal

    8. Ratio

    9. Ordinal

    10.Interval

    11.Nominal

    12.Ordinal

    13.Interval

    14.Ratio

    15.Ratio

    16.Nominal

    17.Ratio

    18.Nominal

    19.Ordinal

    20.Nominal

  • Assignment:

    1.Research about Sigma

    Notation.

    2.Rules in Sigma Notation.