Advertisements
Advertisements
Question
In a sample of 400 population from a village 230 are found to be eaters of vegetarian items and the rest non-vegetarian items. Compute the standard error assuming that both vegetarian and non-vegetarian foods are equally popular in that village?
Advertisements
Solution
Sample size n = 400
Case (i):
Sample proporation of vegetarian p = `3/10.954 = 230/400`
p = 0.575
q = 1 – p
= 1 – 0.575
q = 0.425
Sample error S.E = `sqrt("pq"/"n")`
= `sqrt((0.575 xx 0.425)/400)`
= `sqrt(0.223125/400)`
= `sqrt(0.0005578125)`
S.E = 0.2361
Case(ii):
Sample size n = 400
Since both vegetarian and non-vegetarian foods are equally popular in that village
Sample proparation of vegetarian p = `1/2` = 0.5
q = 1 – p
⇒ q = 1 – 0.5
q = 0.5
∴ Standard Error S.E = `sqrt("pq"/"n")`
= `sqrt((0.5 xx 0.5)/400)`
= `sqrt(0.25/400)`
= `sqrt(0.000625)`
= 0.025
APPEARS IN
RELATED QUESTIONS
There is a certain bias involved in the non-random selection of samples.
In a village of 200 farms, a study was conducted to find the cropping pattern. Out of the 50 farms surveyed, 50% grew only wheat. What is the population and the sample size?
Which of the following methods give better results and why?
Explain in detail about non-sampling error
State any two merits for systematic random sampling
A wholesaler in apples claims that only 4% of the apples supplied by him are defective. A random sample of 600 apples contained 36 defective apples. Calculate the standard error concerning of good apples
Choose the correct alternative:
A ______ may be finite or infinite according as the number of observations or items in it is finite or infinite
Choose the correct alternative:
A ______ is one where each item in the universe has an equal chance of known opportunity of being selected
Choose the correct alternative:
In simple random sampling from a population of units, the probability of drawing any unit at the first draw is
A sample of 100 students is drawn from a school. The mean weight and variance of the sample are 67.45 kg and 9 kg. respectively. Find (a) 95% (b) 99% confidence intervals for estimating the mean weight of the students
