Shifting focus to a different topic to mislead.
Random, Systematic, Stratified, and Cluster Sampling.
Suspect Samples.
By dividing the population into groups (strata) based on important characteristics and then conducting random sampling from each group.
Number each subject in the population, place number cards in a bowl, mix, and select as needed.
The focus is on the collection, analysis, interpretation, presentation, and organization of data.
They help in making informed decisions based on data analysis.
A statistical software used for data analysis.
By using chance methods or random numbers.
Into two groups.
Suspect samples.
Survey.
Random, Systematic, Stratified, and Cluster Sampling.
By geographic area or schools in a large school district.
Qualitative and Quantitative.
Sir Ronald Aylmer Fisher.
Numerical variables that can be ordered or ranked.
Computers and calculators.
Observational, Experimental, and Quasi-experimental.
To ensure representation from different subgroups within a population.
The collection, analysis, interpretation, presentation, and organization of data.
Data into mutually exclusive (nonoverlapping) categories.
Mike C. Homecillo.
No, order or ranking cannot be imposed.
Observational, Experimental, and Quasi-experimental.
Teacher Education Department.
Subjects, Religion, Marital Status, Gender, Zip Codes.
A characteristic or attribute that can assume different values.
Samples obtained by dividing the population into groups called clusters and randomly selecting these clusters.
Random, Systematic, Stratified, and Cluster Sampling.
Microsoft Excel.
1) Telephone survey, 2) Mailed questionnaire, 3) Personal interview.
Systematic sampling.
There are three types of lies – lies, damn lies, and statistics.
The collection, organization, summarization, and presentation of data.
To understand the nature of statistics.
Variables are characteristics or attributes that can take on different values.
Characteristics or properties that can take on different values.
To summarize and describe the characteristics of a dataset.
To gather information for analysis and decision-making.
All subjects (human or otherwise) that are being studied.
Teacher Education Department.
Subjects should be assigned to groups randomly.
The researcher observes what is happening or has happened in the past.
A characteristic or attribute that can take on different values.
Suspect Samples.
A variable that is measured or observed in response to changes in the independent variable.
Using averages in a misleading way.
1) Telephone survey, 2) Mailed questionnaire, 3) Personal interview.
All members of the selected cluster are included as subjects.
Using averages that can be interpreted in multiple ways.
The use of computers and calculators in education.
A college president wants to learn how students feel about an issue and compare opinions between first-year and second-year students.
Qualitative and Quantitative.
Interviewing subjects entering a local mall to determine the nature of their visit.
The number of job-related injuries for each of the transportation industries for 1998.
Nominal, Ordinal, Interval, Ratio.
By performing complex calculations quickly and accurately.
By conducting data collection over the phone without face-to-face contact.
Observational, Experimental, and Quasi-experimental studies.
1) Telephone survey, 2) Mailed questionnaire, 3) Personal interview.
It allows students to perform statistical analyses easily and intuitively.
A representative sample accurately reflects the characteristics of the population from which it is drawn.
By dividing the population into groups called clusters and then randomly selecting these clusters.
The science of conducting studies to collect, organize, summarize, analyze, and draw conclusions from data.
All members of the selected cluster are included as subjects.
Interpretation helps in understanding the significance of the data collected.
Shifting focus to a different topic to mislead.
A method used by researchers who select subjects that are convenient.
To 'Do your best.'
The collection, organization, summarization, and presentation of data.
1) Telephone survey, 2) Mailed questionnaire, 3) Personal interview.
Length, temperature, time, and mass.
Mike C. Homecillo.
90 seconds.
Ordinal, Interval, Ratio.
To receive a specific treatment or condition.
To compare the performance of two groups of female undergraduate students in sit-ups.
Nominal, Ordinal, Interval, and Ratio.
Nominal, Ordinal, Interval, and Ratio.
A substance with no medical benefits or harm.
Qualitative data focuses on descriptions and characteristics, while quantitative data involves numerical measurements.
An Experimental study involves manipulation of variables, while an Observational study does not.
Data collection techniques.
Random numbers from tables.
By conducting data collection over the phone without face-to-face contact.
Teacher Education Department.
To simplify the data collection process by focusing on specific groups within a population.
Using computer-generated random numbers.
Nominal, Ordinal, Interval, Ratio.
The variable that is being manipulated, also called the explanatory variable.
To describe a situation.
To describe a situation.
Survey.
They enhance learning by providing tools for data analysis and visualization.
The Philippine government conducts a census through PSA.
Generalizing from samples to population, performing estimations and hypothesis tests, determining relationships among variables, and making predictions.
It can cover a wider geographic area than telephone surveys or personal interviews.
It suggests that while statistics can be accurate, they can also be manipulated or misrepresented.
Average age, income, and other characteristics of the population.
Data into categories that can be ranked.
It ranks data and precise differences between units of measure exist, but there is no meaningful zero.
A decision-making process for evaluating claims about a population based on information obtained from samples.
Yes, it allows for generalizations based on sample data.
Survey.
Suspect Samples.
To compare the performance of two groups of female undergraduate students in sit-ups.
Selecting 2 apartment buildings at random from 10 and interviewing all residents of those buildings.
They obtain in-depth responses to questions.
Statistics presented without context, making them misleading.
Nominal, Ordinal, Interval, and Ratio.
They are non-numerical and describe categories or qualities.
JASP is a software program used for statistical analysis.
Observational, Experimental, and Quasi-experimental.
Two groups.
Gender (male or female), religious preferences, geographic locations.
Sampling is used to make inferences about a population without having to study the entire group.
They provide resources and tools for effective teaching methods.
Quantitative data related to job-related injuries.
A variable that describes categories or qualities.
The concept of probability.
Observational study.
Personal interview.
Interval, Ratio.
A scale that categorizes data without a specific order.
Precise differences between the ranks do not exist.
Using averages that can be interpreted in multiple ways.
A study that resembles an experimental study but lacks random assignment to treatment and control groups.
Measures of central tendency (mean, median, mode) and measures of variability (range, variance, standard deviation).
Suspect Samples.
A group formed by dividing the population, such as geographic areas or schools.
Survey.
Random sampling.
Ambiguous Averages.
1890 - 1962.
Surveying records or direct observation of situations.
Variables that can take any value within a given range.
To determine if a new drug will reduce the number of heart attacks in men over 70 years of age.
Cluster sampling.
To determine if a new drug will reduce the number of heart attacks in men over 70 years of age.
1998.
Qualitative (categorical) and quantitative (numerical) variables.
Generalizing from samples to population, performing estimations and hypothesis tests, determining relationships among variables, and making predictions.
Random, Systematic, Stratified, and Cluster Sampling.
One group receives the drug, and the other receives a placebo.
To analyze student performance and improve teaching methods.
A variable that is manipulated or changed in an experiment.
They help students focus on problem-solving rather than manual calculations.
Treatments should be assigned to the groups at random.
Mike C. Homecillo.
The use of Computers and Calculators.
The number of heart attacks occurring in each group.
Ratio.
A scale that categorizes data with a specific order but no fixed intervals.
Letter grades or float parade competition rankings (1st, 2nd, 3rd).
A larger sample size generally leads to more reliable and valid results.
Into two groups with different instructions regarding sit-ups.
A measurement scale that classifies data into distinct categories without a specific order.
To 'Do your best.'
To try to increase the number of sit-ups done each day by 10%.
A statistical test will be run.
Number of students in a classroom.
Yes, to the nearest given unit.
Age, heights, weights, body temperatures.
Stratified sampling.
Teacher Education Department.
To increase the number of sit-ups done each day by 10%.
Because it may not accurately reflect the general customer population for several reasons.
The resultant variable, also called the outcome variable.
Independent variables and dependent variables.
Two groups.
Nominal, Ordinal, Interval, and Ratio.
To determine if a new drug will reduce the number of heart attacks in men over 70 years of age.
To not receive the specific treatment or condition.
One group receives the drug, and the other group receives a placebo.
Manipulating data to present misleading conclusions about student achievement.
The values (measurements or observations) that the variables can assume.
Calculate k as 2000 / 50 = 40, then select every 40th subject after randomly selecting the first subject from subjects 1 to 40.
They were told to 'Do your best.'
Discrete and continuous variables.
A study that resembles an experimental study but lacks random assignment.
A statistical test will be run to make a decision about the drug's effectiveness.
It generalizes findings from samples to the larger population.
The first subject is selected at random from the first k subjects.
To avoid drawing false conclusions from data.
A decision about the effectiveness of the drug.
Discrete and Continuous.
By using scales or designs that exaggerate or minimize trends.
A decision about the effectiveness of the drug.
By measuring.
To facilitate learning and teaching processes.
Variables that can be placed into distinct categories based on characteristics or attributes.
A population includes all members of a defined group, while a sample is a subset of that population.
Observational, Experimental, and Quasi-experimental.
Make predictions or inferences about a population based on a sample.
To select a subset of individuals from a population for study.
Interval, Ratio.
A group of subjects selected from a population.
Descriptive statistics deals with summarizing data, while inferential statistics involves making predictions about a larger population.
A variable that represents numerical values and can be measured.
A biased sample does not accurately represent the population, leading to skewed results.
A substance with no medical benefits or harm.
Mailed questionnaire.
Variables whose values are determined by chance.
k = 40.
Telephone survey.
Interval has no meaningful zero, while Ratio has a true zero point.
One group receives the drug, and the other receives a placebo.
A non-random sampling technique where participants are selected based on their availability.
Height, Weight, Area, or number of phone calls received.
Ratio has a true zero, while Interval does not.
A quantitative variable that can take on an infinite number of values within a given range.
Statistics presented without context, making them misleading.
Temperature, heights, weights.
Observational, Experimental, and Quasi-experimental.
Into two groups.
Two groups.
Drawing conclusions from a motorcycle company's data on ages and incomes of owners from 1980 to 1998.
Qualitative (categorical) and Quantitative (numerical).
By providing data-driven insights to inform decisions.
Variables that represent categories or groups.
The number of heart attacks occurring in each group.
Ignoring the context or sample size, leading to incorrect conclusions.
A collection of data values.
Sizes such as Small, Medium, and Large.
A data value or a datum.
A measurement scale that classifies data into categories that can be ranked or ordered.
A measurement scale that has equal intervals between values but no true zero point.
Questions that are biased or poorly constructed, leading to unreliable data.
By using scales or designs that exaggerate or minimize differences.
By numbering each subject of the population and selecting every k-th subject.
The concept of probability.
By 2040, at least 3.5 billion people will run short of water.
Experimental study.
To determine if a new drug will reduce the number of heart attacks in men over 70 years of age.
A method where every individual has an equal chance of being selected.
Larger sample sizes generally lead to more reliable and valid results.
A variable that describes categories or qualities.
Shifting focus to a different topic to mislead interpretation.
Shifting focus to a different topic to mislead the audience.
Making predictions based on sample data.
Statistics presented without context, making them misleading.
Suggesting a relationship between variables that may not exist.
Values that can be counted.
Shifting focus to a different topic to mislead the audience.
Fractions and decimals.
Suspect Samples.
Nominal, Ordinal, Interval, and Ratio.
Intelligence Quotient or Temperature.
T 1 - 83 Plus and T 1 - 84 Plus.
Two groups.
Variables that can take on an infinite number of values within a given range.
A statistical test will be run.
Statistics presented without context, making them misleading.
A substance with no medical benefits or harm.
The number of heart attacks occurring in each group.
Discrete and Continuous.
The researcher manipulates one of the variables to determine its influence on other variables.
To determine the validity of assumptions about a population based on sample data.
Teacher Education Department.
Using averages that can be interpreted in multiple ways.
It possesses all the characteristics of interval measurement and has a true zero.
A variable that can take on a finite number of values.
A point at which the variable being measured has no value.
The number of heart attacks occurring in each group.
Suggesting a relationship between variables without evidence.
A decision about the effectiveness of the drug.
A measurement scale that has equal intervals and a true zero point.
Suggesting a relationship between variables that may not exist.
Intact groups.
One group is given the drug, and the other is given a placebo.
The performance of sit-ups by female undergraduate students.
To increase the actual number of sit-ups done each day by 10%.
A substance with no medical benefits or harm.
A variable that represents numerical values and can be measured.
A variable that can take on an infinite number of values within a given range.
Discrete and Continuous variables.
A quantitative variable that can take on a finite number of values.
Using averages that can be interpreted in multiple ways.
Number of calls received by a call center agent each day.
Quasi-experimental study.
A scale that categorizes data with ordered values and equal intervals, but no true zero.
90 seconds.
A scale that categorizes data with ordered values, equal intervals, and a true zero.
A statistical test will be run.
Suspect Samples.
Number of children in a family.
An infinite number of values between any two specific values.
