Why probabilty distributions range negative infinity to positive infinity transform it into zero to posoitive infinity be cause the real dataset is positively skew if it is true then explain it briefly?

Q: The table below gives the individual IQ scores of selected population (with N = 40). The IQ scores…

A: From the given information, the population with size N=40. The IQ scores range between 75 and 148.…

Q: Describe about TABLE FOR F DISTRIBUTION.

A: The F Distribution is a continuous probability distribution which is positively skewed (Right…

Q: You just finished statistics class and are eager to collect and analyze your own data! You run out…

A: Since, it is given that,student just finished statistics class to  collect data on the average score…

Q: When the Stanford-Binet IQ test came into use in 1932, it was adjusted so that scores for each age…

A: Given,  1. mean = 100 and standard deviation =15 2. mean = 120 and standard deviation = 15 we have…

Q: Why is it that interpolation is defined as the estimation of a function's value in a period that is…

A: Interpolation is the process of estimating the value of a function at points within an interval or…

Q: I need clarification on two topics in Business Statistics, this is density function. And poison…

A: Poisson Distribution: A discrete random variable X follows Poisson distribution with parameter λ, if…

Q: The descriptive measure of the center which is sentive to extreme values is the Other measures of…

A: Given problem Given that   The descriptive measure of the center which is sentive to extreme values…

Q: When working with a Chi-Squared test, we need data to be Normally distributed True False

A:

Q: How do you construct a residual plot using Statcrunch?

A: Regression analysis is a method of predicting the value for the one variable by the known value of…

Q: QUESTION 11 The mean and median of the uniform distribution are always equal. True O False

A: Let the Uniform distribution defined on (a,b)

Q: Distinguish Conditional Variance from Conditional Mean

A: Conditional Expectation: The conditional expectation or conditional mean of  random variable is the…

Q: The sum of deviations (of actual observations) around the mean are always equal to zero TRUE OR…

A:

Q: Assume that math test scores are normally distributed with a mean of 500 and a standard deviation of…

A:

Q: A very useful descriptive statistic that we use to see how spread out a data set is around the mean…

A: Here, we use the concept oh measure of dispersion... Which shows the variability of the data.

Q: I would like the solutions for each part of the problem

A: Given:The provided sample mean is  = 7.1 and the known population standard deviation is σ = 0.9, and…

Q: Explain in general terms the relationship that exists between the Poisson and exponential…

A:

Q: TRUE OR FALSE>Chi-square is one of the most commonly used forms of parametric statistics.

A: Parametric statistics assumes that the data points come from a fixed probability distribution.…

Q: If the quantile-quantile plot of your data versus a normal curve is linear, the data is likely…

A: If all the observations in the quantile plot are very close to the straight line, then it can be…

Q: What statistical test is most appropriate if you want to examine whether there is a difference in…

A: It is given, the graduation rates among home schooling, public schools, and private schools, and the…

Q: What are the examples of parameter and examples of statistic

A: Parameter : It is numerical characteristics of population. Parameter name : Population meanμ,…

Q: Distinguish briefly the descriptive and inferential statistics

A: Descriptive statistics: It is a simple way to describe a dataset. It is that part of statistics…

Q: what measurement is most appropriate for data regarding customer drive-thru times?  nominal,…

A: Drive thru times are generally taken as minutes minutes are a ratio level of measurement because it…

Q: Mention two real life applications for the distribution.

A: There are lot of real life applications of distributions. The of those are as following   1.…

Q: Figure shows three residual plots and a normal probability plot of residuals. For each part, decide…

A: Assumption for regression inferences: Population regression line: There exists constants β0 and β1,…

Q: last 20 minutes left thank you!

A: Data analysis refers to the process of gathering relevant information from the given data to make…

Q: State three examples where similar averages are associated with very different distributions Go…

A: Given :  State three examples where similar averages are associated with very different…

Q: Explain or draw a situation where the Mean Value Theorem or Rolle's Theorem wouldn't work.

A: Explain the roll's theorem and the mean value theorem.

Q: Esp A consumer products testing group is evaluating two competing brands of tires, Brand 1 and Brand…

A: From the provided information, Sample size (n) = 10 Level of significance (α) = 0.10

Q: Explain the application of normal curve in social science.

A: The normal distribution is the single most important distribution in the social sciences. It is…

Q: If we correctly summed all deviations from the mean of a distribution (without squaring those…

A: The property of sample mean is that the sum of deviations from the mean is always a zero.

Q: How to find Distribution while given Estimator in point estimator

A: If you have an estimate and wish to know the probability distribution from which it is formed (i.e.,…

Q: TRUE OR FALSE> In non-parametric statistics, you do not have to follow the same “rules” as…

A: Here we want to know given statement is true or not.

Q: Figure shows three residual plots and a normal probability plot of residuals. For each part, decide…

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Q: Explain in details that how do you evaluate if your data are a good fit for the assumptions of those…

A: Hello thankyou for the question. According to our honor code can answer three sub parts at a time.…

Q: How do nonparametric statistics differ from parametric statistics

A: Non parametric statistics is different than parametric statistics nonparametric statistics are…

Q: Briefly explain specifically why categorical and quantitative variables require different methods in…

A: Categorical and quantitative variables require different methods to describe their distributions…

Q: Suppose f(x) = 0.50 for 0 < x < 2. Determine the mean and variance of X. Mean = i (Round the answer…

A: It is given that  f(x) = 0.50,    0 &lt; x &lt; 2

Q: what is the formula for finding the inter quartile range

A: Quartiles:Three Quartiles,The first quartile separates the lowest 25% of the observations from the…

Q: Is blood pressure discrete or continuous quantitaive variable? Why?

A: We can say a quantitative variable is discrete if it takes only finite and countable values.We can…

Forecasting in Business

Forecasting is the process of predicting the future based on the past and the present data and circumstances. In other words, forecasting is the act of making a detailed analysis of future events based on the decisions made in the past as well as the present. Forecasting plays a very important role in operational management as it helps in planning and decision-making. It is not only important for the success of a business but also contributes to individual growth and success. Many business organizations or companies have failed due to the shortcomings of their forecasting.