et x be a random variable that represents white blood cell count per cubic milliliter of whole blood. Assume that x has a distribution that is approximately ormal, with mean u = 7100 and estimated standard deviation o = 2850. A test result of x < 3500 is an indication of leukopenia. This indicates bone marrow epression that may be the result of a viral infection. (a) What is the probability that, on a single test, x is less than 3500? (Round your answer to four decimal places.) .10383 (b) Suppose a doctor uses the average x for two tests taken about a week apart. What can we say about the probability distribution of x? O The probability distribution of x is approximately normal with u, = 7100 and o, = 1425.00. O The probability distribution of x is approximately normal with , = 7100 and o, = 2850. O The probability distribution of x is not normal. O The probability distribution of x is approximately normal with Hy = 7100 and o, = 2015.25. What is the probability of x < 3500? (Round your answer to four decimal places.) .003754

Q: the true answer is $

A:

Q: are you sure about A and D?

A: The given statement is "if the pentagon is purple, then the circle is green" (Converse is not true)

Q: I'm confused on how to get the answer to question 5.

A:

Q: How did you find the answer? Can you elaborate more?

A: Standard form of an LPP : Objective function is the maximize type , constraints are all less than…

Q: ARE YOU SURE ABOUT PART 2 ?

A: which is constant.

Q: what about questions 4-15?

A:

Q: what would be the conclusion?

A: From the obtained results, the p-value is 0.0676.

Q: So which one should I choose?

A: I am going to solve the problem by using some simple calculus to get the required result of the…

Q: What are the answers to this ? #3

A: Denote p as the true proportion of people, who own cats.

Q: can you do part 2 of the question and part 3

A: (ii) The Principal Component Analysis (PCA) is greatly affected by the Spectral Theorem. A…

Q: Could you explain part(b) as well?

A: Our objective is given below:

Q: What other ways can I show the result? Thanks.

A: Enter the data in the R studio in the following ways for data frame: Test= c(1,2,3,4,5,6,7,8,9)…

Q: I'm still not sure how this answer was reached

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Q: so what are the values of d and c?

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Q: The second question wasn't answered.

A: Probability is the measure of the chance that an event is likely to happen. It is calculated by…

Q: how did you get 2x in part c?

A: Joint probability density is used to understand the probability value of several continous random…

Q: Could you provide assistance with the first three questions?

A: Note: Hey there! Thank you for the question. As per your request, we have solved the first three for…

Q: Dsery? 2.

A:

Correlation

Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.

Linear Correlation

A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related. 

Regression Analysis

Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.