Your plan needs to be detailed and explain exactly what your going to do and why you are doing this what would it show?? For the evaluation explain what went well in your investigation, what you could have done better taken a bigger sample as Its pretty simple and easy to understand when you know exactly what you need to do!! I would take a look at the mark scheme for every section to see what you need to do to get an A.
The coursework is out of 40 marks and to get a C you need to get 20 marks, if you include standard deviation, box plots and spearmans rank then you are much more likely to get higher marks. Its important to use your own work and i would do whatever you think is necessary for your investigation and not just what i put. Hope that helps you!! Message me if you need more help. Lumos Follow 0 followers 6 badges Send a private message to Lumos Follow 8 Last edited by Lumos; at Follow 9 Follow 10 Stratified sampling is good becauuse This is a good page on explaining stratified sampling: Follow 11 Follow 12 Follow 13 I understand how to do this now!!!
I am over the moon!!!! Follow 14 Follow 15 Follow 16 Actually, does anyone know whether my coursework is wrong? As you see, our service is the best way to success. We have already helped numerous students with their home assignments and we will be extremely glad to offer you some assistance as well. So, if you have some problems with statistics or want to take a pressure off, do not hesitate to contact us anytime you want.
Special offer only for you! Order homework at a discount! A letter with a promo code was successfully sent to your e-mail. There is a solution for perfectly done homework. Our experts are here to prove it. Call us Toll free US: Our support representative will call you back in 15 minutes. Ordinal scale is the level of measurement which is used to measure ordinal data. For instance, the salary of a person is considered as the example of ordinal data.
Categorical is also the type of data in statistics. Categorical data type is quite similar to the binary data type that is because the permissible statistics as well as the measurement scale of both these data types are same. 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.
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