BIOSTAT FINALS (2)

BIOSTAT FINALS (2)
84問 • 1年前
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  • 1

    MEASURES OF FERTILITY

    Crude Birthrate, General Fertility Rate, Age-adjusted mortality rates

  • 2

    more sensitive than the crude birth rate as its denominator includes only women of childbearing age.

    General Fertility Rate

  • 3

    A sensitive indicator of the standard of health care

    Swaroop’s Index

  • 4

    defined as the number of live births in a calendar year divided by the number of women ages 15-44 at midyear, with the quotient multiplied by 1000.

    General Fertility Rate

  • 5

    Are factors that influence health, including biological, chemical, physical, social, cultural, economic, genetics, and behavioral aspects

    Determinants

  • 6

    typically conclude both recovery and death

    Disease process

  • 7

    Importance of studying natural history

    NOTA

  • 8

    Measures of Morbidity except

    Incidence Proportion

  • 9

    It refers to the activity of describing the properties or behavior of data and the possible correlation of different quantities or variables.

    Data Analysis

  • 10

    It iis a useful measure for quantifying the burden of disease in a population at a given point in time

    Prevalence

  • 11

    Refers to a set of pertinent activities such as collection, organization, presentation, analysis, and interpretation of quantitative data. It is a field of study which deals with the mathematical characterization of a group or group of items

    Statistics

  • 12

    field of statistics that includes the methods of collecting, classifying, graphing, and averaging data with the objective of simply describing the properties or characteristics of the data at hand.

    Descriptive Statistics

  • 13

    Based on the research conducted by DOH, 63% of those found to have diabetes were not that they have such disease is what type of statistics?

    Descriptive Statistics

  • 14

    Cigarettes were associated with 29% of the 4,470 civilian deaths in 1989 is what type of statistics?

    Descriptive Statistics

  • 15

    concerned with drawing conclusions or generalizations from organized data. Thus, the task of the statistician here is not just to device ways to give summary description of the data but to devise ways, to test significance of the results.

    Inferential statistics

  • 16

    Drinking red wine may reduce the risk of heart disease by 12% is what type of statistics?

    Inferential statistics

  • 17

    Aspirin may lower the rate of heart attack by 50% is what type of statistics?

    Inferential statistics

  • 18

    Carrot juice may strengthen the lungs is what type of statistics?

    Inferential statistics

  • 19

    who discovered the equation of the normal distribution in 1773

    Abraham de Moivre

  • 20

    who made its derivation from study of errors in repeated measurements which he called it Gaussian distribution.

    Carl Gauss

  • 21

    He pioneered the concept of the Bell curve which is a practice commonly used in the Clinical laboratory

    Carl Gauss

  • 22

    developed the theory of regression and correlation

    Sir Francis Galton (1811-1911) and Karl

  • 23

    a Belgian is referred to as the Father of Modern Statistics.

    Adolf Quetelet

  • 24

    t first described the t-test in 1908

    William Sealy Gosset

  • 25

    developed the Analysis of Variance (ANOVA) that helps find the statistical difference between the means of two or more groups

    Sir Ronald Fisher

  • 26

    represent differences in quantity, character, or kind but not in amount.

    Qualitative variables

  • 27

    – are numeric in nature and can be ordered or ranked. • Examples of quantitative variables are weight, height, age, test scores, speed and body temperatures. Quantitative variables are further classified as either discrete or continuous

    Quantitative variables

  • 28

    a variable whose values can be counted using integral values such as the number of enrollees, drop outs, graduates in a certain college, deaths, number of employees. Discrete variable assumes integral values.

    Discrete variable

  • 29

    a variable that can assume any numerical value over an interval or intervals. Examples include height, weight, temperature, time, pressure in a tire, and a number of miles driven. Continuous variables yield decimal or fraction.

    Continuous variable

  • 30

    use numbers for the purpose of identifying name or membership in a group or category. Observations can be classified and counted without a particular order or ranking imposed on the data.

    Nominal Data

  • 31

    Number Medical Technologist that are members of PAMET, and schools attended by all Board passers are example of?

    Nominal Data

  • 32

    connote ranking or inequalities. One category is higher than the other one. In this type of data, numbers represent “greater than” or “less than” measurements, such as preference rankings. Individuals may be classified according to socioeconomic status as low, medium, or high

    Ordinal Data

  • 33

    Primary, Secondary, and Tertiary hospitals in Metro manila, and list of honor students are example of?

    Ordinal Data

  • 34

    – indicate an actual amount and there is equal unit of measurement separating each score, specifically equal intervals

    Interval Scales

  • 35

    In Celcius and Fahrenheit temperature, a 10° increase in the temperature reflects the same amount of heat, regardless of whether it represents a change from 10° to 20° or a change from 60° to 70° is example of?

    Interval Scales

  • 36

    are similar to interval data, but has an absolute zero and multiplies are meaningful. Ratio data include all the usual measurements of length, height, weight, area, volume, density, velocity, money, and duration.

    Ratio data

  • 37

    Number of calories per-4ounce portion of ice cream for different brands and size and diameter of a bacteria are example of?

    Ratio data

  • 38

    Can be more effective and informative if given the necessary preparation and planning.

    Primary data collection

  • 39

    Primary data collection can be collected through the following:

    AOTA

  • 40

    Are information taken from published or unpublished materials previously gathered by other researchers or agencies such as books, newspapers, magazine, journals, published and unpublished thesis and dissertations

    Secondary data collection

  • 41

    In this type of sampling, we select samples at regular intervals based on sampling fraction. The items or individuals are arranged in some way- perhaps alphabetically or other sort.

    Systematic random sampling

  • 42

    In this type of sampling each member of the population has an equal chance to be included in the sample gathered through Lottery or Fishbowl technique. Commonly recommended to prevent bias or erroneous inference

    Simple random sampling

  • 43

    In this type of sampling, we select random samples from within homogenous subgroups while being different from each other

    Stratified random sampling

  • 44

    This sampling is sometimes referred to as an “area sampling” because it is frequently applied on a geographical basis

    Cluster sampling

  • 45

    This is a graphic representation of frequency distribution where adjoined vertical rectangles are drawn on horizontal axis with the centers of the bases located at the class marks

    Histogram

  • 46

    A graph that represents class boundaries along the horizontal axis and cumulative frequencies along the vertical axis

    Ogive

  • 47

    This is a graph showing the cumulative frequency less than any upper-class boundary plotted against the upper-class boundary.

    Less than ogive

  • 48

    This is a graph showing cumulative frequency greater than any lower-class boundary plotted against the lower-class boundary

    Greater than ogive

  • 49

    three most important measures of central tendency: the mean, the median, and the mode. Often more simply referred to as “Average”.

    Measures of Central Tendency

  • 50

    Deviation and Average is a shorter formula for computing the mean by using this process/method.

    Coding or Deviation Method

  • 51

    All are meaning of MEAN except:

    It is used with symmetrical, multimodal distributions of interval or ratio scores.

  • 52

    Is defined as the sum of all scores or data divided by the number of scores in the data

    ungrouped data

  • 53

    x̄ = Σfx/n

    grouped data

  • 54

    All are meaning of MEDIAN except

    Used when the research problem calls for knowledge of the exact endpoint of a distribution.

  • 55

    All are meaning of MODE except:

    Most frequently reccurring score in the ungrouped data

  • 56

    The difference between the highest/maximum and the lowest/minimum values in the set of data

    Range

  • 57

    The most commonly used measures of variability are?

    the variance and standard deviation.

  • 58

    Measures the average amount by which each data point in a dataset differs from the mean, providing an indication of the spread or dispersion of the data.

    Standard Deviation

  • 59

    A lower standard deviation indicates that the data points are closely clustered around the ____, while a higher standard deviation suggests greater variability or spread in the dataset.

    mean

  • 60

    Meaning of Coefficient of Variation

    AOTA

  • 61

    It is a term used to mean a statement about one or more parameters of a population or populations

    Hypothesis

  • 62

    Symbol represents population mean

    μ

  • 63

    It is a procedure consisting of pertinent steps whose major objective is to be able to make a decision based on the data gathered.

    Hypothesis Testing

  • 64

    Evaluates evidence from a sample to draw conclusions about a population parameter

    Hypothesis Testing

  • 65

    All are meaning of null hypothesis except

    NOTA

  • 66

    All are meaning of Skewness except

    If the mean is largest of the three averages, the distribution is negatively skewed or skewed to the left., If the mean, median and mode are equal, then there is a skewness

  • 67

    The empirical rule correspond to specific proportions of data falling within particular standard deviation intervals

    Probability theory

  • 68

    “The three-sigma rule”

    68-95-99.7

  • 69

    To use this statistical test, there are some conditions that should be met. The data must be normally distributed and the level of measurement must either be interval or ratio.

    Parametric tests

  • 70

    All are Parametric tests except

    x-test

  • 71

    All are Nonparametric tests except

    Kruskal-Wallis H-Test

  • 72

    This statistical test does not require normality of the distribution.

    Nonparametric tests

  • 73

    t-test typically used when there are fewer than ___ samples.

    30

  • 74

    The t-test formula for related samples used to compare the pretest and posttest mean or the means of two groups.

    False

  • 75

    Use to compare population means when determining if one is greater or less than the other.

    One-tailed t-test

  • 76

    It is used to compare two means, the sample mean, and the perceived population mean. It is also used to compare the two sample means taken from the same population. It is used when the samples are equal to or greater than 30.

    z-test

  • 77

    represents the spread of the data in the standard normal distribution

    Standard deviation

  • 78

    used when the sample mean is compared to the perceived mean.

    One-Sample Mean test

  • 79

    comparing two separate samples from a normal population, what test is used to determine if the difference between values is significant.

    Two-Sample Mean Test

  • 80

    This is the test of the difference between the observed and expected frequencies. This is considered a unique test due to its 3 functions.

    THE CHI-SQUARE TEST

  • 81

    Used to compare the medians of two independent samples.

    THE WILCOXON RANK-SUM TEST OR WILCOXON TWO SAMPLE TEST

  • 82

    This is a test of difference between the observed frequencies and expected frequencies

    CHI-SQUARE TEST OF GOODNESS-OF-FIT

  • 83

    All are Kruskal-Wallis H-Test except

    This is used to compare the medians of two independent samples.

  • 84

    Measures the strength and direction of the association between two ranked variables. Does not require the assumption of normality

    Spearman Rank Order Coefficient of Correlations

  • PMLS

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    BIOSTAT FORMULA

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    問題一覧

  • 1

    MEASURES OF FERTILITY

    Crude Birthrate, General Fertility Rate, Age-adjusted mortality rates

  • 2

    more sensitive than the crude birth rate as its denominator includes only women of childbearing age.

    General Fertility Rate

  • 3

    A sensitive indicator of the standard of health care

    Swaroop’s Index

  • 4

    defined as the number of live births in a calendar year divided by the number of women ages 15-44 at midyear, with the quotient multiplied by 1000.

    General Fertility Rate

  • 5

    Are factors that influence health, including biological, chemical, physical, social, cultural, economic, genetics, and behavioral aspects

    Determinants

  • 6

    typically conclude both recovery and death

    Disease process

  • 7

    Importance of studying natural history

    NOTA

  • 8

    Measures of Morbidity except

    Incidence Proportion

  • 9

    It refers to the activity of describing the properties or behavior of data and the possible correlation of different quantities or variables.

    Data Analysis

  • 10

    It iis a useful measure for quantifying the burden of disease in a population at a given point in time

    Prevalence

  • 11

    Refers to a set of pertinent activities such as collection, organization, presentation, analysis, and interpretation of quantitative data. It is a field of study which deals with the mathematical characterization of a group or group of items

    Statistics

  • 12

    field of statistics that includes the methods of collecting, classifying, graphing, and averaging data with the objective of simply describing the properties or characteristics of the data at hand.

    Descriptive Statistics

  • 13

    Based on the research conducted by DOH, 63% of those found to have diabetes were not that they have such disease is what type of statistics?

    Descriptive Statistics

  • 14

    Cigarettes were associated with 29% of the 4,470 civilian deaths in 1989 is what type of statistics?

    Descriptive Statistics

  • 15

    concerned with drawing conclusions or generalizations from organized data. Thus, the task of the statistician here is not just to device ways to give summary description of the data but to devise ways, to test significance of the results.

    Inferential statistics

  • 16

    Drinking red wine may reduce the risk of heart disease by 12% is what type of statistics?

    Inferential statistics

  • 17

    Aspirin may lower the rate of heart attack by 50% is what type of statistics?

    Inferential statistics

  • 18

    Carrot juice may strengthen the lungs is what type of statistics?

    Inferential statistics

  • 19

    who discovered the equation of the normal distribution in 1773

    Abraham de Moivre

  • 20

    who made its derivation from study of errors in repeated measurements which he called it Gaussian distribution.

    Carl Gauss

  • 21

    He pioneered the concept of the Bell curve which is a practice commonly used in the Clinical laboratory

    Carl Gauss

  • 22

    developed the theory of regression and correlation

    Sir Francis Galton (1811-1911) and Karl

  • 23

    a Belgian is referred to as the Father of Modern Statistics.

    Adolf Quetelet

  • 24

    t first described the t-test in 1908

    William Sealy Gosset

  • 25

    developed the Analysis of Variance (ANOVA) that helps find the statistical difference between the means of two or more groups

    Sir Ronald Fisher

  • 26

    represent differences in quantity, character, or kind but not in amount.

    Qualitative variables

  • 27

    – are numeric in nature and can be ordered or ranked. • Examples of quantitative variables are weight, height, age, test scores, speed and body temperatures. Quantitative variables are further classified as either discrete or continuous

    Quantitative variables

  • 28

    a variable whose values can be counted using integral values such as the number of enrollees, drop outs, graduates in a certain college, deaths, number of employees. Discrete variable assumes integral values.

    Discrete variable

  • 29

    a variable that can assume any numerical value over an interval or intervals. Examples include height, weight, temperature, time, pressure in a tire, and a number of miles driven. Continuous variables yield decimal or fraction.

    Continuous variable

  • 30

    use numbers for the purpose of identifying name or membership in a group or category. Observations can be classified and counted without a particular order or ranking imposed on the data.

    Nominal Data

  • 31

    Number Medical Technologist that are members of PAMET, and schools attended by all Board passers are example of?

    Nominal Data

  • 32

    connote ranking or inequalities. One category is higher than the other one. In this type of data, numbers represent “greater than” or “less than” measurements, such as preference rankings. Individuals may be classified according to socioeconomic status as low, medium, or high

    Ordinal Data

  • 33

    Primary, Secondary, and Tertiary hospitals in Metro manila, and list of honor students are example of?

    Ordinal Data

  • 34

    – indicate an actual amount and there is equal unit of measurement separating each score, specifically equal intervals

    Interval Scales

  • 35

    In Celcius and Fahrenheit temperature, a 10° increase in the temperature reflects the same amount of heat, regardless of whether it represents a change from 10° to 20° or a change from 60° to 70° is example of?

    Interval Scales

  • 36

    are similar to interval data, but has an absolute zero and multiplies are meaningful. Ratio data include all the usual measurements of length, height, weight, area, volume, density, velocity, money, and duration.

    Ratio data

  • 37

    Number of calories per-4ounce portion of ice cream for different brands and size and diameter of a bacteria are example of?

    Ratio data

  • 38

    Can be more effective and informative if given the necessary preparation and planning.

    Primary data collection

  • 39

    Primary data collection can be collected through the following:

    AOTA

  • 40

    Are information taken from published or unpublished materials previously gathered by other researchers or agencies such as books, newspapers, magazine, journals, published and unpublished thesis and dissertations

    Secondary data collection

  • 41

    In this type of sampling, we select samples at regular intervals based on sampling fraction. The items or individuals are arranged in some way- perhaps alphabetically or other sort.

    Systematic random sampling

  • 42

    In this type of sampling each member of the population has an equal chance to be included in the sample gathered through Lottery or Fishbowl technique. Commonly recommended to prevent bias or erroneous inference

    Simple random sampling

  • 43

    In this type of sampling, we select random samples from within homogenous subgroups while being different from each other

    Stratified random sampling

  • 44

    This sampling is sometimes referred to as an “area sampling” because it is frequently applied on a geographical basis

    Cluster sampling

  • 45

    This is a graphic representation of frequency distribution where adjoined vertical rectangles are drawn on horizontal axis with the centers of the bases located at the class marks

    Histogram

  • 46

    A graph that represents class boundaries along the horizontal axis and cumulative frequencies along the vertical axis

    Ogive

  • 47

    This is a graph showing the cumulative frequency less than any upper-class boundary plotted against the upper-class boundary.

    Less than ogive

  • 48

    This is a graph showing cumulative frequency greater than any lower-class boundary plotted against the lower-class boundary

    Greater than ogive

  • 49

    three most important measures of central tendency: the mean, the median, and the mode. Often more simply referred to as “Average”.

    Measures of Central Tendency

  • 50

    Deviation and Average is a shorter formula for computing the mean by using this process/method.

    Coding or Deviation Method

  • 51

    All are meaning of MEAN except:

    It is used with symmetrical, multimodal distributions of interval or ratio scores.

  • 52

    Is defined as the sum of all scores or data divided by the number of scores in the data

    ungrouped data

  • 53

    x̄ = Σfx/n

    grouped data

  • 54

    All are meaning of MEDIAN except

    Used when the research problem calls for knowledge of the exact endpoint of a distribution.

  • 55

    All are meaning of MODE except:

    Most frequently reccurring score in the ungrouped data

  • 56

    The difference between the highest/maximum and the lowest/minimum values in the set of data

    Range

  • 57

    The most commonly used measures of variability are?

    the variance and standard deviation.

  • 58

    Measures the average amount by which each data point in a dataset differs from the mean, providing an indication of the spread or dispersion of the data.

    Standard Deviation

  • 59

    A lower standard deviation indicates that the data points are closely clustered around the ____, while a higher standard deviation suggests greater variability or spread in the dataset.

    mean

  • 60

    Meaning of Coefficient of Variation

    AOTA

  • 61

    It is a term used to mean a statement about one or more parameters of a population or populations

    Hypothesis

  • 62

    Symbol represents population mean

    μ

  • 63

    It is a procedure consisting of pertinent steps whose major objective is to be able to make a decision based on the data gathered.

    Hypothesis Testing

  • 64

    Evaluates evidence from a sample to draw conclusions about a population parameter

    Hypothesis Testing

  • 65

    All are meaning of null hypothesis except

    NOTA

  • 66

    All are meaning of Skewness except

    If the mean is largest of the three averages, the distribution is negatively skewed or skewed to the left., If the mean, median and mode are equal, then there is a skewness

  • 67

    The empirical rule correspond to specific proportions of data falling within particular standard deviation intervals

    Probability theory

  • 68

    “The three-sigma rule”

    68-95-99.7

  • 69

    To use this statistical test, there are some conditions that should be met. The data must be normally distributed and the level of measurement must either be interval or ratio.

    Parametric tests

  • 70

    All are Parametric tests except

    x-test

  • 71

    All are Nonparametric tests except

    Kruskal-Wallis H-Test

  • 72

    This statistical test does not require normality of the distribution.

    Nonparametric tests

  • 73

    t-test typically used when there are fewer than ___ samples.

    30

  • 74

    The t-test formula for related samples used to compare the pretest and posttest mean or the means of two groups.

    False

  • 75

    Use to compare population means when determining if one is greater or less than the other.

    One-tailed t-test

  • 76

    It is used to compare two means, the sample mean, and the perceived population mean. It is also used to compare the two sample means taken from the same population. It is used when the samples are equal to or greater than 30.

    z-test

  • 77

    represents the spread of the data in the standard normal distribution

    Standard deviation

  • 78

    used when the sample mean is compared to the perceived mean.

    One-Sample Mean test

  • 79

    comparing two separate samples from a normal population, what test is used to determine if the difference between values is significant.

    Two-Sample Mean Test

  • 80

    This is the test of the difference between the observed and expected frequencies. This is considered a unique test due to its 3 functions.

    THE CHI-SQUARE TEST

  • 81

    Used to compare the medians of two independent samples.

    THE WILCOXON RANK-SUM TEST OR WILCOXON TWO SAMPLE TEST

  • 82

    This is a test of difference between the observed frequencies and expected frequencies

    CHI-SQUARE TEST OF GOODNESS-OF-FIT

  • 83

    All are Kruskal-Wallis H-Test except

    This is used to compare the medians of two independent samples.

  • 84

    Measures the strength and direction of the association between two ranked variables. Does not require the assumption of normality

    Spearman Rank Order Coefficient of Correlations