If the long tail is to the right, the distribution of the data is said to be:

Mathematics

2 answers:

dybincka [34]3 years ago

7 0

Answer:

Negatively skewed.

Step-by-step explanation:

In a negatively skewed distribution, the mode is greater then the median, and the median is greater then the mean. Overall, the majority of the data is to the right, which means that the distribution of data is skewed to the left, or negatively skewed.

Rainbow [258]3 years ago

4 0

Answer: Hence, Option 'C' is correct.

Step-by-step explanation:

As we know that if one tail is longer than the other, the distribution is said to be skewed.

And there are two types of skewed distribution :

1) Negatively skewed

2) Positively skewed

It depends on the direction of the long tail.

If the long tail is to the right , then it is said to be positively skewed distribution.

If the long tail is to the left , then it is said to be negatively skewed distribution.

According to question, the distribution here is a positively skewed distribution.

Hence, Option 'C' is correct.

You might be interested in

Is it c or its not??

Bingel [31]

Answer:

C) 0.9

Step-by-step explanation:

density = mass / volume

density = 82 / 96

density = 0.9 g/mL

6 0

3 years ago

Read 2 more answers

Suppose that E and F are two events and that Upper P (Upper E and Upper F )equals0.3 and Upper P (Upper E )equals0.5. What is Up

m_a_m_a [10]

Answer:

$P(\frac{F}{E}) =\frac{0.3}{0.5} =0.6$

Step-by-step explanation:

Step 1:-

Suppose that E and F are two events and that P(E n F) = 0.3

also given P(E) =0.5

Conditional probability:-

if E₁ and E₂ are two events in a Sample S and P(E₁)≠ 0, then the probability of E₂ , after the event E₁ has occurred, is called the Conditional probability

of the event E₂ given E₁ and is denoted by

$P(\frac{F}{E}) = \frac{P(EnF)}{P(E)}$