Advertisements
Advertisements
प्रश्न
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
Advertisements
उत्तर
Sample size = 600
Number of success = 600 – 36
= 564
Sample proportion p = `564/600` = 0.94
= 600
Population proportion (p) = probability of getting good apple
= 96%
= `96/100` .......{∵ 4% of the apples 100 are defective}
P = 0.96
Q = 1 – p = 1 – 0.96
Q = 0.04
The S.E for a sample proporation is given by
S.E = `sqrt("PQ"/"N")`
= `sqrt(((0.96)(0.04))/600`
= `sqrt(0.0384/600`
= `sqrt(0.000064)`
∴ S.E = 0.008
Hence the standard error for sample proportion is S.E = 0.008
APPEARS IN
संबंधित प्रश्न
Discuss how you would use the lottery method to select 3 students out of 10 in your class?
Define parameter
What is standard error?
Using the following Tippet’s random number table
| 2952 | 6641 | 3992 | 9792 | 7969 | 5911 | 3170 | 5624 |
| 4167 | 9524 | 1545 | 1396 | 7203 | 5356 | 1300 | 2693 |
| 2670 | 7483 | 3408 | 2762 | 3563 | 1089 | 6913 | 7991 |
| 0560 | 5246 | 1112 | 6107 | 6008 | 8125 | 4233 | 8776 |
| 2754 | 9143 | 1405 | 9025 | 7002 | 6111 | 8816 | 6446 |
Draw a sample of 10 three-digit numbers which are even numbers
A random sample of 60 observations was drawn from a large population and its standard deviation was found to be 2.5. Calculate the suitable standard error that this sample is taken from a population with standard deviation 3?
Choose the correct alternative:
A ______ of statistical individuals in a population is called a sample
Choose the correct alternative:
Any statistical measure computed from sample data is known as ______
Choose the correct alternative:
In simple random sampling from a population of units, the probability of drawing any unit at the first draw is
Write short note on sampling distribution and standard error
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
