Podcast
Questions and Answers
What is the main distinction between Simple Random Sampling and Stratified Random Sampling?
What is the main distinction between Simple Random Sampling and Stratified Random Sampling?
- Simple Random Sampling selects individuals from the entire population randomly. (correct)
- Stratified Random Sampling divides the population into subgroups before sampling. (correct)
- Simple Random Sampling guarantees equal representation from all subgroups.
- Stratified Random Sampling collects data only from strata that are overrepresented.
Calculate the median from the following set of numbers: 88.03, 94.50, 94.90, 95.05, 84.60.
Calculate the median from the following set of numbers: 88.03, 94.50, 94.90, 95.05, 84.60.
- 94.90 (correct)
- 88.03
- 94.50
- 95.05
What is the mode of the following data set: 185-195: 2, 195-205: 1, 205-215: 3, 215-225: 4, 225-235: 5, 235-245: 6, 245-255: 4, 255-265: 3, 265-275: 2, 275-245: 1?
What is the mode of the following data set: 185-195: 2, 195-205: 1, 205-215: 3, 215-225: 4, 225-235: 5, 235-245: 6, 245-255: 4, 255-265: 3, 265-275: 2, 275-245: 1?
- 215-225
- 235-245 (correct)
- 225-235
- 195-205
How would you calculate the mean of the following grouped data: 185-195 (2), 195-205 (1), 205-215 (3), 215-225 (4), 225-235 (5), 235-245 (6), 245-255 (4), 255-265 (3), 265-275 (2), 275-245 (1)?
How would you calculate the mean of the following grouped data: 185-195 (2), 195-205 (1), 205-215 (3), 215-225 (4), 225-235 (5), 235-245 (6), 245-255 (4), 255-265 (3), 265-275 (2), 275-245 (1)?
What is the standard deviation of the data represented in ranges: 185-195 (2), 195-205 (1), 205-215 (3), 215-225 (4), 225-235 (5), 235-245 (6), 245-255 (4), 255-265 (3), 265-275 (2), 275-245 (1)?
What is the standard deviation of the data represented in ranges: 185-195 (2), 195-205 (1), 205-215 (3), 215-225 (4), 225-235 (5), 235-245 (6), 245-255 (4), 255-265 (3), 265-275 (2), 275-245 (1)?
Flashcards
Simple Random Sampling vs. Stratified Random Sampling
Simple Random Sampling vs. Stratified Random Sampling
In simple random sampling, each individual in the population has an equal chance of being selected. Stratified random sampling divides the population into subgroups (strata) based on shared characteristics and then randomly samples from each stratum.
Mean, Median, Mode
Mean, Median, Mode
The mean is the average of a dataset. The median is the middle value when the dataset is ordered. The mode is the most frequent value in the dataset.
Calculating Mean, Median & Mode
Calculating Mean, Median & Mode
The mean is calculated by summing all values and dividing by the number of values. The median is the middle value when the dataset is ordered. The mode is the value that occurs most frequently.
Mean, Median, Mode for Grouped Data
Mean, Median, Mode for Grouped Data
The mean is calculated by summing all values and dividing by the number of values. The median is the middle value when the dataset is ordered (using the midpoint for grouped data). For the mode, identify the group with the highest frequency.
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Standard Deviation
Standard Deviation
The standard deviation measures the spread or dispersion of data points around the mean. A higher standard deviation indicates greater variability in the data.
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Q1: Difference Between Sampling Methods
- Simple Random Sampling and Stratified Random Sampling differ in how they select samples from a population.
- Simple Random Sampling involves selecting individuals purely at random, while Stratified Random Sampling divides the population into groups (strata) and then randomly selects individuals from each group.
Q2: Finding Mean, Median, and Mode
- Data Set: 88.03, 94.50, 94.90, 95.05, 84.60
- Mean: Calculate the average by adding all values and dividing by the count.
- Median: Arrange data in ascending order and find the middle value.
- Mode: The most frequently occurring value.
Q3: Calculating Mean, Median, and Standard Deviation (SD)
- Data is presented in groups.
- The data shows frequencies for each interval.
- To calculate mean, median and SD you will need the values in each interval.
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