Advertisements
Advertisements
प्रश्न
In the following data one of the value of y is missing. Arithmetic means of x and y series are 6 and 8 respectively. `(sqrt(2) = 1.4142)`
| x | 6 | 2 | 10 | 4 | 8 |
| y | 9 | 11 | ? | 8 | 7 |
Estimate missing observation.
Advertisements
उत्तर
Let the missing observation be 'a'
| x | 6 | 2 | 10 | 4 | 8 |
| y | 9 | 11 | a | 8 | 7 |
`bar"x"` = 6, `bar"y"` = 8, n = 5
`bar"y" = (sum_"y")/"n"`
∴ 8 = `(35 + "a")/5`
∴ a + 35 = 40
∴ a = 40 − 35
∴ a = 5
∴ Missing frequency = 5
APPEARS IN
संबंधित प्रश्न
Calculate the correlation coefficient for the following data.
| X | 5 | 10 | 5 | 11 | 12 | 4 | 3 | 2 | 7 | 1 |
| Y | 1 | 6 | 2 | 8 | 5 | 1 | 4 | 6 | 5 | 2 |
Find the coefficient of correlation for the following:
| Cost (₹) | 14 | 19 | 24 | 21 | 26 | 22 | 15 | 20 | 19 |
| Sales (₹) | 31 | 36 | 48 | 37 | 50 | 45 | 33 | 41 | 39 |
Calculate the correlation coefficient for the following data.
| X | 25 | 18 | 21 | 24 | 27 | 30 | 36 | 39 | 42 | 48 |
| Y | 26 | 35 | 48 | 28 | 20 | 36 | 25 | 40 | 43 | 39 |
If the values of two variables move in same direction then the correlation is said to be
If the values of two variables move in the opposite direction then the correlation is said to be
Correlation co-efficient lies between
The correlation coefficient is
The variable which influences the values or is used for prediction is called
The correlation coefficient
Scatter diagram of the variate values (X, Y) give the idea about
If r = – 1, then correlation between the variables
The coefficient of correlation describes
If Cov(x, y) = – 16.5, `sigma_"x"^2` = 2.89, `sigma_"y"^2` = 100. Find correlation coefficient.
A measure of the strength of the linear relationship that exists between two variables is called:
If the points on the scatter diagram indicate that as one variable increases the other variable tends to decrease the value of r will be:
The value of the coefficient of correlation r lies between:
Define Correlation.
Calculate the Karl Pearson Correlation Co-efficient for the following data:
| Demand for Product X: | 23 | 27 | 28 | 29 |
30 |
31 | 33 | 35 | 36 | 39 |
| Sale of Product Y: | 18 | 22 | 23 | 24 | 25 | 26 | 28 | 29 | 30 | 32 |
