Advertisements
Advertisements
प्रश्न
A sample of 1000 students whose mean weight is 119 lbs (pounds) from a school in Tamil Nadu State was taken and their average weight was found to be 120 lbs with a standard deviation of 30 lbs. Calculate the standard error of the mean
Advertisements
उत्तर
Given n = 1000
`bar(x)` = 119 lbs ......(pounds)
Since σ is unknown
So we consider `barsigma` = s and µ = 120 lbs
S.E = `barsigma/sqrt("n")`
= `"s"/sqrt("n")`
= `30/sqrt(1000)`
= `30/31.623`
= 0.9487
Therefore the standard error for the average weight of large group of students of 120 lbs is 0.9487
APPEARS IN
संबंधित प्रश्न
Suppose there are 10 students in your class. You want to select three out of them. How many samples are possible?
Define parameter
What is standard error?
Explain the stratifi ed random sampling with a suitable example
State any two demerits of systematic random sampling
State any two merits for systematic random sampling
Choose the correct alternative:
In simple random sampling from a population of units, the probability of drawing any unit at the first draw is
Choose the correct alternative:
In ______ the heterogeneous groups are divided into homogeneous groups
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
Use the data in the Table below that relate to monthly household expenditure (in Rs) on the food of 50 households and
| 1904 | 1559 | 3473 | 1735 | 2760 |
| 2041 | 1612 | 1753 | 1855 | 4439 |
| 5090 | 1085 | 1823 | 2346 | 1523 |
| 1211 | 1360 | 1110 | 2152 | 1183 |
| 1218 | 1315 | 1105 | 2628 | 2712 |
| 4248 | 1812 | 1264 | 1183 | 1171 |
| 1007 | 1180 | 1953 | 1137 | 2048 |
| 2025 | 1583 | 1324 | 2621 | 3676 |
| 1397 | 1832 | 1962 | 2177 | 2575 |
| 1293 | 1365 | 1146 | 3222 | 1396 |
Monthly Household Expenditure (in Rupees) on Food of 50 Households
Find the number of households whose monthly expenditure on food is
(b) more than Rs 3000
(c) between Rs 1500 and Rs 2500
