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Statistics

Statistics deals with collecting, organizing, and interpreting numerical data. An important aspect of statistics is the analysis of population characteristics inferred from sampling.

36,756 Questions

How many tons would be equal to 8000 pounds?

One ton is 2,000 lbs. Therefore, 8,000 pounds is 4 tons.
One ton is 2000 lbs. Therefore, 8000 pounds is 4 tons.

What is a sampling variability?

A sampling variability is the tendency of the same statistic computed from a number of random samples drawn from the same population to differ.

What does joshira mean?

As far as I can tell, it is a variant on the name Joshua, which of course is Hebrew and means "God is my salvation."

What is the number premier in french digits?

The ordinal number premier in French corresponds to the English ordinal number "first".

How many ways can you arrange the following numbers 2 3 4 5 7 9?

There are six distinct numbers, [2 3 4 5 7 9], so the number of permutations of those six numbers is 6 factorial, or 720.

Why does order not matter in combinations?

because if you wish to take a combination of a certain number of items, then the order in which you pick them is known as a permutation, not a combination.

for example: if you have 12 people labelled 1 to 12 and you had to pick a team of six, you could choose players 1,2,3,4,5,6 as one of your combinations, but you could also choose them in the order 6,5,4,3,2,1. which ever order you pick them in, you still end up with the same team, thus have the same combination.

the algebraic function nCr is used to determine combinations and is commonly used in binomial distributions.

What are the uses of measures of length mass and capacity in your day to day life?

I measure the distance I travel to work, the length of cable required to install an

antenna, the time required to haul my present mass up the tower, and how I will

satisfy my capacity for liquid refreshment when the job is done.

What colour will you be able to pick out of 1 red marble 2 blue marbles 2 green marbles and 3 yellow marble?

Red, blue, green or yellow.

Red, blue, green or yellow.

Red, blue, green or yellow.

Red, blue, green or yellow.

How is the Correlation of the IQs of twins reared together?

The correlation of IQs in twins reared together is typically high, often around 0.85, indicating a strong genetic influence on intelligence. This high correlation suggests that both genetic factors and shared environmental influences play significant roles in shaping IQ. However, it also highlights that even within the same environment, individual differences can arise due to non-shared environmental factors. Overall, the study of twins provides valuable insights into the nature versus nurture debate regarding intelligence.

When do you use Measures of Central Tendency?

Measures of central tendency, such as the mean, median, and mode, are used to summarize a set of data by identifying the central point within that data. They are particularly useful when you want to understand the overall trend or typical value in a dataset, making them essential in fields like statistics, psychology, economics, and research. These measures help to simplify complex data sets and facilitate comparisons between different groups or conditions. They are most effective when the data is normally distributed, but can also provide insights in skewed distributions, depending on the measure used.

Two events are mutually exclusive if the occurrence of one depends on the occurrence of the other?

That depends on your definition of "depends." Mutually exclusive events are events that cannot occur at the same time. If you knew that Independent events most certainly can happen at the same time, you could easily deduce that mutually exclusive events are always dependent events. And while it's true dependent events affect the outcome of one another, that's not so easy to see when your dealing with events that don't occur in succession.

It can be said that if a mutually exclusive event occurs, the other events that are mutually exclusive in relation to it have not taken place, i.e. the complement of that event has not taken place. When you look at only two events that are mutually exclusive and jointly exhaustive (i.e. all the possible events) like flipping a coin once and getting either a head or a tails (where the probability of the coin landing on it's side is 0), you can say that one event, flipping a head, is dependent on the other event, flipping a tail, not happening. Therefore the events are mutually exclusive.

Now imagine two events which are still mutually exclusive but not jointly exhaustive, e.g. rolling a 2 or a 3 with a six sided die. Lets assume the die is not weighted so the probability of each is 1/6. A roll of two does not only depend on not rolling a three. To roll a 2 means not rolling a 1,3,4,5 or 6. To say that rolling a 2 and rolling a 3 are mutually exclusive if the occurrence one depends on the occurrence of the other is ambiguous at best, if not wrong. Rolling a 2 and rolling a 3 are mutually exclusive only because its impossible for both to happen at the same time with one roll, or you can say that P(2and3)=0.

It's fair to say that two events are mutually exclusive if the occurrence of one depends on the other not happening. But if you thought that two events are mutually exclusive because the occurrence of one relays on the occurrence of the other then you were wrong. That just describes dependent events in succession.

If one event's occurence depends upon the occurence of another, and the events cannot occur with a certain outcome otherwise, they are said to be dependent events. Mutually exclusive events are events that cannot occur together, as the occurence of one prohibits the occurence of the other. An example of a mutually exclusive event is this: two dice are rolled; what is the possibility of rolling both a nine and a double? One cannot roll both a nine and a double simultaneously; therefore, the events are mutually exclusive because one outcome excludes the other. An example of a dependent event is this: Susan is baking cookies. She has enough batter for two dozen chocolate chip cookies and one dozen oatmeal cookies. Therefore, the ratio of chocolate chip to oatmeal is 1.5:1. If Susan's little brother eats half of the chocolate chip cookies, the ratio changes to become 1:1. The possibility of the ratio being 1:1 is dependent upon Susan's brother eating half of the chocolate chip cookies. Thus, it is a dependent event. If one event's occurence depends upon the occurence of another, and the events cannot occur with a certain outcome otherwise, they are said to be dependent events. Mutually exclusive events are events that cannotoccur together, as the occurence of one prohibits the occurence of the other. An example of a mutually exclusive event is this: two dice are rolled; what is the possibility of rolling both a nine and a double? One cannot roll both a nine and a double simultaneously; therefore, the events are mutually exclusive because one outcome excludes the other. An example of a dependent event is this: Susan is baking cookies. She has enough batter for two dozen chocolate chip cookies and one dozen oatmeal cookies. Therefore, the ratio of chocolate chip to oatmeal is 1.5:1. If Susan's little brother eats half of the chocolate chip cookies, the ratio changes to become 1:1. The possibility of the ratio being 1:1 is dependent upon Susan's brother eating half of the chocolate chip cookies. Thus, it is a dependent event. If one event's occurence depends upon the occurence of another, and the events cannot occur with a certain outcome otherwise, they are said to be dependent events. Mutually exclusive events are events that cannotoccur together, as the occurence of one prohibits the occurence of the other. An example of a mutually exclusive event is this: two dice are rolled; what is the possibility of rolling both a nine and a double? One cannot roll both a nine and a double simultaneously; therefore, the events are mutually exclusive because one outcome excludes the other. An example of a dependent event is this: Susan is baking cookies. She has enough batter for two dozen chocolate chip cookies and one dozen oatmeal cookies. Therefore, the ratio of chocolate chip to oatmeal is 1.5:1. If Susan's little brother eats half of the chocolate chip cookies, the ratio changes to become 1:1. The possibility of the ratio being 1:1 is dependent upon Susan's brother eating half of the chocolate chip cookies. Thus, it is a dependent event.
Mutually exclusive events refers to the events that cannot occur at the same time.