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## Statistics Help FREE*

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## Statistics homework solutions and probability homework solutions added to serviceable advantages:

Consider rolling two fair dice. Let A be the event that the first die is greater than 4. Let B be the event that the sum of the two dice is 6. Q1 A researcher was comparing several groups of male subjects to examine the effect of diet on mean BMI change following 6 weeks of dieting. As part of an industrial training program, some trainees are instructed by Method A, which is straight teaching-machine instruction, and some are. What is one way to obtain a criterion validity estimate?

At a large public university, GPAs are normally distributed. If the mean GPA is 2. A market research firm supplies manufacturers with estimates of the retail sales of their products from samples of retail stores.

Answer the following questions in a Word document: What makes the normal distribution a probability distribution? Drug tests are a common way to detect doping among athletes. Lets consider a professional cycling drug test in detail now. Suppose you are a golfer, and you want to compare a cheap brand and an expensive brand of golf balls. If I have 7 red cars, 9 silver cars, and 4 black cars. It is difficult to ascertain a situation based on the outcome.

We have two major types of statistics namely descriptive and inferential. This type of statistics involves the presentation, collection and management of data. This is often the initial stage of statistical evaluation. Basically speaking, it defines a set of graphical data by showing the given related information or describing the measures of central tendencies and its distribution. It is used to calculate the mean, mode and median.

This implies deducing the correct outcome of any statistical operation. In this type of statistics, information is inferred from a given population using the sampling data. Here, it is inferences that make this evaluation significant. Most experiments that deal with social sciences are carried out using a minor sample population which eventually ascertains the behavior of the population. One needs to pay attention to every detail when drawing conclusion to avoid getting the wrong solution to a perfectly organized data.

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You must be logged in to post a comment. Enter your keyword Search. The categorical data can be written in the form of number that starts from 1 and ends at infinity value. Its values are based on random choices or the judgment of an individual. The example of categorical data type is the selection of a political party by an individual in order to become a member. The third type of data called binary.

Binary data type represents in only two digits that include 0 and 1. Computers only understand the language of 0 and 1. The numbers 0 and 1 function as yes or no. In addition, this data type is only used where the possible outcomes are only two. In statistics, nominal scale is used as the measurement scale binary data.

In addition, the appropriate statistics for binary data type are Chi-squared as well as Mode. Another data type is real valued multiplicative in the discipline of statistics. The values of real valued multiplicative represent in the real numbers. In addition, the real numbers should be in positive. For instance, the prices of the goods as well as the income of an individual come under the real valued multiplicative. The measurement scale for this data type is ratio scale.

All the data of interval scale is also used for the real value multiplicative data type. However, the favorable statistics of this data type are coefficient of variation, harmonic mean as well as geometric mean. Real valued additive is the data type which is used in the field of statistics. It is used to represent the distance of a place as well as the temperature of anything. It is necessary to use real number in order to represent this data type. In addition, interval scale is the preferable scale of measurement for real valued additive.

However, the permissible statistics of binomial data type is also used for this data type. Binomial data type is also used in statistics in order to present the data. It is one of the kinds of data type which is used to highlight the ratio of something that includes satisfaction, votes and many others.

The value of binomial data type represents in numbers which starts from 0 and it goes till the infinity. The statistics which are used in the binomial data type are correlation, standard deviation, median, mode and mean. Another data type is count which is one of the types of data categorization.

The values of this data type represents in the positive numbers. Count data type is used to characterize the number of females, males, casualties, births and many others. Ratio scale is used as the measurement scale for count data type. Harmonic mean, geometric mean as well as coefficient of variation are the appropriate statistics for the count data type. In addition, the statistics of the interval scale is also applied on this data type. At our statistics help service, we provide stats assignments or stats homework to the students of different academic level.

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