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
Pearson r is employed when the distribution is bivariate, continuous and normal ( continuous and normal. However the scores of the individuals concerned in each variable are approximately so).The Spearman rho is employed when the distribution is bivariate The contingency coefficient and its associates are employed when the data are frequency ranked in order of
In the realm of education, the necessity to assess and analyze student performance arises frequently. Whether it’s grading exams or evaluating other variables like age, height, or weight, the process of assigning scores can be complex due to various factors such as question difficulty, teacher tendencies, and measurement errors. Consider the example of a
Measures of Central Tendency: Mean: The mean is the average of a set of values. It’s calculated by adding up all the values and dividing by the total number of values. Mode: The mode is the value that appears most frequently in a dataset. A dataset can have one mode (unimodal), more than one mode
Fractiles, quartiles, deciles, and percentiles are terms used in statistics to describe different points that divide a dataset into various segments, helping to understand the distribution of data. Here’s a breakdown of each term: Fractiles: Fractiles are points on a number scale that divide a dataset into specific portions. Quartiles, deciles, and percentiles are examples
