What is a scale of measurement? Scale of measurement entails the method used for translation of observation into numbers. For measurement to be carried out in statistics, objects and events has to be assigned numerals according to certain scales or rules. Starting with variables, some rules are then used to determine how these variables will
1. Random Sampling: Random sampling involves selecting a subset of individuals from the entire population in such a way that each member of the population has an equal chance of being chosen. This technique ensures that the sample is representative of the population, reducing the potential for bias. In educational research, a random sample
The steps are as follows: Calculate the mean (average) of the scores. Subtract the mean from each score, square the result. Calculate the mean of those squared differences. Take the square root of that mean to get the standard deviation. Step 1: The mean is indeed 5.5. Step 2: Subtract the mean from each
Write briefly on the following terms : (a) A one-tailed test. (b) Systematic Sampling (c) A Two-tailed test (d) Cluster sampling (e) accidental/ haphazard sampling (a) A One-Tailed Test: A one-tailed test, also known as a one-sided test, is a statistical hypothesis test that examines whether a sample’s result falls significantly above
Educational Statistics refer to the quantitative data that is collected, analyzed, and interpreted to gain insights into various aspects of the education system. These statistics play a pivotal role in shaping educational policies, improving teaching methodologies, and enhancing the overall quality of education. Key Aspects of Educational Statistics: Data Collection: Educational statistics involve
Samples Find the mean and the mode of the following set of data 1.) 2,3,5,7,9,9,10,11,14,and 18 2.) 3,5,8,10,12,15,and 16 3.) 2,3,4,4, 5,5,7,7,7,and 9 Solution 1. Data set: 2, 3, 5, 7, 9, 9, 10, 11, 14, 18 Mean = (2 + 3 + 5 + 7 + 9 + 9 + 10 + 11
Mean: The mean, also known as the average, is the sum of all values divided by the total number of values. It gives us an idea of the typical value in a dataset. For instance, if we have test scores of 10 students: 75, 80, 85, 90, 95, 70, 75, 80, 85, 90, the mean
To find the mean number of coins, you’ll need to calculate the weighted average based on the number of people in each group. Here’s how you can do it: Multiply the midpoints of each group by the number of people in that group. Sum up the products from step 1. Divide the sum from step
A group of 10 has a mean of 36 and a second group of 16 has a mean of 20 Find the mean of the combined group of 26. To find the mean of the combined group, you can use the concept of weighted averages. Since the group sizes are different,
Explain the following terms: i.Population ii. Statistics iii. Non-probability sampling iv. Sampling technique v. Sample CORRELATION COEFFICIENT COMPUTATION [mediator_tech] State and explain seven (7) assumptions that are made when using the parametric statistics to test a hypothesis i. Population: Population refers to the entire group of individuals, items,
State and explain seven (7) assumptions that are made when using the parametric statistics to test a hypothesis Parametric statistics rely on certain assumptions to ensure the validity and accuracy of the results. Here are seven common assumptions made when using parametric statistics to test a hypothesis: 1. Normality of Data: The assumption is
