PGDE

Briefly explain the following Educational Guidance and Counseling

Briefly explain the following Educational Guidance and Counseling: this g is the assistance given to Pupils individually and through group techniques to help them function more effectively in their school programme. It helps the pupil to develop to their maximum potentials. It assists students with learning problems and of education generally. Personal and Psychological Counseling:

List and explain any five (5) basic guidance services in educational institutions

The basic guidance A. Orientation services in educational institutions are; E. Follow-up, research and evaluation B. Appraisal C. Information services F. Referral Orientation: This service is designed to assist students to adjust better when in new G. Counseling. environments. At the commencement of each school year, many new students often need orientation in our primary,

1. (a) What is educational statistics? (b) Explain any five (5) purposes for its use in Nigeria’s educational system.

1. (a) What is educational statistics? (b) Explain any five (5) purposes for its use in Nigeria’s educational system.   (a) Educational Statistics: Educational statistics refers to the application of statistical methods and techniques to gather, analyze, interpret, and present data related to various aspects of education. It involves the systematic collection and analysis of

Distinguish clearly between type I and type II errors.

Distinguish clearly between type I and type II errors.   Tabular comparison of Type I and Type II errors: Error Type Type I Error Type II Error Definition Incorrectly rejecting a true Failing to reject a false null hypothesis (False Positive) null hypothesis (False Negative) Symbol α β Occurrence Occurs when there is no effect,

Explain the concept of significance level.

Explain the concept of significance level. Scientific conclusions are statements with high probability of being correct and not statements of absolute truth. Before we carry out the experiment, we must determine how high the probability will be in order to accept or reject a null hypothesis. We need to carry out a test of significance

Write briefly on the following terms A one tailed test, Systematic sampling, A two tailed test, Cluster sampling, Accidental / Haphazard Sampling

A one-tailed test: This type of statistical test involves making a directional prediction about the outcome. For instance, it could be predicted that students who engaged in micro-teaching will achieve higher scores in practical teaching compared to those who did not participate.   Systematic sampling: In this method of sampling, a sample is chosen by

2. (a) Explain educational statistics (b) Is statistics really needed in education? Discuss

(a) Educational statistics is the application of statistical methods to address issues related to various aspects of education. It involves organizing, summarizing, presenting, and interpreting data obtained from educational assessments. By employing educational statistics, we can measure the relationships between different educational variables, draw conclusions, and make predictions that aid in achieving specific educational objectives.

Average Mean or Arithmetic Mean

        (a) Define A. Mean B. Median C. Mode D. Standard deviation. (b) Find the mean and mode of the following set of data A. 2, 3, 5, 7, 9, 9, 10, 11, 14, 18 B. 3, 5, 8, 10, 12, 15, 16 . 2, 3, 4, 4, 5, 5,7,7,7,9    

Distinguish the difference between Type 1 and Type 2 errors

Type 1 and Type 2 errors are concepts related to hypothesis testing in statistics. Here’s how they differ: Type 1 Error (False Positive): 1. Occurs when: A Type 1 error happens when a null hypothesis that is actually true is incorrectly rejected. 2. Meaning: It’s a false positive, indicating that the test incorrectly indicates a

Define Discrete variable

A discrete variable is a type of quantitative variable in statistics that represents distinct, separate values or categories. It can only take on specific, distinct numerical values within a certain range, often as whole numbers. Discrete variables cannot have values between these distinct points, making them different from continuous variables which can take any value

Distinguish between parametric and non-parametric test

Distinguish between parametric and non-parametric test   Parametric and non-parametric tests are two different categories of statistical tests used to analyze data. Here’s how they differ: Parametric Tests: 1. Assumption: Parametric tests assume that the data follows a specific distribution, usually the normal distribution. This assumption is crucial for accurate results. 2. Measurement Level: Parametric