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What is t-statistic?

What are the mean, median, mode, and range of the following numbers?

$\left\{ {1,2,3,4,5,6,7,8,\left. 9 \right\}} \right.$

$\left\{ {1,2,3,4,5,6,7,8,\left. 9 \right\}} \right.$

What is the total sum of the squares?

Find the mode and mean deviation w.r.t mode for the following table

Marks | \[0 - 10\] | \[10 - 20\] | \[20 - 30\] | \[30 - 40\] | \[40 - 50\] |

No. of Students | \[5\] | \[12\] | \[30\] | \[10\] | \[3\] |

Which one of the following is a false description?

1.In a moderately asymmetrical distribution, the empirical relationship between mean, mode and median suggested by Karl Pearson is $Mean - Mode = 3(Mean - Median)$.

2.Coefficient of variation is an absolute measure of dispersion.

3.Measure of skewness in the distribution of numerical values in the data set.

4.Kurtosis refers to the degree of flatness or peakedness in the region around the mode of a frequency curve.

1.In a moderately asymmetrical distribution, the empirical relationship between mean, mode and median suggested by Karl Pearson is $Mean - Mode = 3(Mean - Median)$.

2.Coefficient of variation is an absolute measure of dispersion.

3.Measure of skewness in the distribution of numerical values in the data set.

4.Kurtosis refers to the degree of flatness or peakedness in the region around the mode of a frequency curve.

Why is Standard Deviation important?

Write the formula for \[E(X)\] and $Var(X)$

The percentage of marks obtained by $ 100 $ students in an examination is given.

Find the mean marks of the student.

Marks | 30-35 | 35-40 | 40-45 | 45-50 | 50-55 | 55-60 | 60-65 |

No. of students | 14 | 16 | 28 | 23 | 18 | 8 | 3 |

Find the mean marks of the student.

The mean of the distribution, in which the values of \[X\] are \[1,2,...,n\] the frequency of each being unity is:

A. \[\dfrac{{n\left( {n + 1} \right)}}{2}\]

B. \[\dfrac{n}{2}\]

C. \[\dfrac{{\left( {n + 1} \right)}}{2}\]

D. None of these

A. \[\dfrac{{n\left( {n + 1} \right)}}{2}\]

B. \[\dfrac{n}{2}\]

C. \[\dfrac{{\left( {n + 1} \right)}}{2}\]

D. None of these

As sample size increases, what happens to the standard error of $M$?

Which of the following is true regarding discrete variables ?

A. A discrete variable has an infinite number of possible variables

B. Discrete variable can take both whole number values as well as fraction values

C. Both of the above

D. None of the above

A. A discrete variable has an infinite number of possible variables

B. Discrete variable can take both whole number values as well as fraction values

C. Both of the above

D. None of the above

How do you find the mean, median and mode of: 7, 3, 2, 1, 13, 8, 1, 5, 14, 11, 15?

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