kindly compare  the variances  between these  graphs

Q: One way analysis of variance is used to test for

A: One way analysis of variance also known as ANOVA.

Q: In a frequency distribution the coefficient of skewness based upon the quartile is 0.6. If the sum…

A: Skewness is used to measure the shape of the distribution. There are three types of skewness, they…

Q: What is the coefficient of determination for the data above?

A: Step-by-step procedure to find the regression line using Excel: In Excel sheet, enter x and y in…

Q: When data is normally distributed the mean equals the median True False

A: Normal distribution

Q: The median for the dataset used to create this histogram could possibly be in which range?

A: Frequency Distribution table : Class Frequency Cumulative Frequency 2-4 1 1 4-6 4 1+4=5 6-8…

Q: Suppose it is believed that the probability a patient will recover from a disease following…

A: Here we need to find the mean and variance of the given binomial distribution.

Q: If the industry has an average cash deposit of 2100, which bank is performing better? Which bank is…

A: For the provided data, the appropriate visual representation is the Line Graph. The distribution of…

Q: find mean devaition of this data??

A: Calculate Mean deviation from the following grouped data Class Frequency (f) 110 - 119 1 120…

Q: What is the variance of number of Sundays on a nonleap year?

A:

Q: the measure of variability that is influenced most by extreme values is

A: The range is the measure of dispersion or variability. The range can be calculated as: Range…

Q: Which one of these graphs does not represent a normal distribution?

A:

Q: the variance of a data set is 144 and mean is 72 then coefficient of variance is

A: Given,variance(σ2)=144mean(x¯)=72

Q: What type of graphs are suitable for displaying the mean, median, variance and standard deviation

A: Graphical displays complement tabular presentations of descriptive statistics. Generally, graphs are…

Q: If x is normal with mean and variance, find

A: Given Data: X is random variable   X~ Normal (μ, σ2)

Q: What is variance?

A: Variance is a measure of dispersion or spread of a data distribution. Variance of a data…

Q: Can we say that there is a significant positive correlation among the data? (a = .05)

A: Since you have asked multiple questions, we will solve the first question for you. If you want any…

Q: Which of the following is not affected by extreme value in the data? variance range median mean

A:

Q: if the standard deviation of a sample is 0.5 find the variance

A:

Q: The mean of F-distribution is given by ____________________ and the variance is given…

A: First of all we have to know random variable F- It is defined as the ratio of 2 independent…

Q: Is this histogram still skewed to the left even if there's a gap between the graph? Is there any…

A: On observing the graph we can see that the higher values have higher frequency. Even though there is…

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: An outlier is a data point that may be an abnormal result should sometimes be left out of a…

A: Solution :-

Q: After your research study your learned that there is a 6-point difference between two sample means.…

A: The effect size is the ratio of mean difference to the standard deviation.

Q: The . distribution might be used if one cannot guess much about the process to involve in a…

A: If we know only the minimum and maximum values of the data then the most useful distribution for the…

Q: Find the variance of these data

A: From the given given sample data : n=5 , ƩX=105 , ƩX2=2333  Our aim is to find the sample variance

Q: If there are outliers, then the mean will be greater than the median.

A: Consider the given statement, "If there are outliers, then the mean will be greater than the…

Q: A construction manager has determined the schedule Variance (SV) of a project is $5000 and the…

A: Schedule variance (SV) and schedule performance index (SPI) are two earned value calculations that…

Q: The sampling distribution of the mean will have the same mean as the original population from which…

A:

Q: Let's use the data from the previous question. Make sure to document, the mean, Variance and SD.

A: Solution-: We find mean, variance and standard deviation of given score of students.

Q: The average number of newspapers for sale in an airport newsstand is 12, and the variance is 25. The…

A: We have given that  Average and variance for newspapers.  Average = 12 Variance = 25 Standard…

Q: The foreman at a large plant estimates that there are defective parts about 1% of the time.  If the…

A: It is given that n =20,000 and p = 0.01.

Q: What is the value of the variance if the mean of a frequency distribution is 100 and the coefficient…

A:

Q: A population has a mean of μ = 100, a variance of σ2 = 9, and a standard deviation of σ = 3.  The…

A:

Q: If the probability that an object dropped from a certain height will strike the ground is 80 percent…

A: Solution- Given that , let p denote the probability that an object dropped from a certain height…

Q: The weekly income for a taxi driver during the first three weeks of lock down were recorded as…

A: Given, The weekly income for a taxi driver during the first three weeks of lockdown was recorded as…

Q: Does either distribution have any outliers?

A: It is an important part of statistics. It is widely used.

Q: true or false MSBetween represents the variability that is only affected by unsystematic factors.

A: The statement is not true.

Q: We have to compare the result of all variables using range,interquatile range,variance and standard…

A: As asked, for the given data we have to compare the result of all variables using the range,…

Q: It is the more reliable average when there are extremely large or extremely small values.

A: Answer is  MEDIAN

Q: A researcher says that 50% of the variance in blood pressure can be predicted from HR and that blood…

A: In this question we have the value of coefficient of determination which is equal to 0.50 and we…

Q: Based on this graph what is the approximate distribution of data?  X~___(___,___)

A: From the data given,we try to create the histogram of the data.

Q: Explain whether homogeneity of variance is satisfied for this analysis, and be clear on how you…

A: Homogeneity of Variance: Homogeneity of variance (homoscedasticity) is a crucial assumption shared…

Q: What is the difference between Discrete and Continous Data and prodivde an example for each.

A: Discrete random variable : Random variables that can assume only a countable number of values are…

Q: If the mean of grades in statistics = 65 and the variance : 400 , then the Z score of grade 50 =

A:

Q: In analysis of variance, the F-ratio is a ratio of

A: F ratio is a ratio of 2 variances or two mean squares. Mean squares are simple variances that…

Q: How to get rid of co-variances double head arrows among the demographic variables in semplot…

A: R- lavaan is an open-source package in R programming for latent variable modelling.

Q: Explain the concept of Range Restriction, and the issue it may pose to correlation statistics

A: The restricted range occurs when the range of the data from a variable is limited. Thus restricting…

Inverse Normal Distribution

The method used for finding the corresponding z-critical value in a normal distribution using the known probability is said to be an inverse normal distribution. The inverse normal distribution is a continuous probability distribution with a family of two parameters.

Mean, Median, Mode

It is a descriptive summary of a data set. It can be defined by using some of the measures. The central tendencies do not provide information regarding individual data from the dataset. However, they give a summary of the data set. The central tendency or measure of central tendency is a central or typical value for a probability distribution.

Z-Scores

A z-score is a unit of measurement used in statistics to describe the position of a raw score in terms of its distance from the mean, measured with reference to standard deviation from the mean. Z-scores are useful in statistics because they allow comparison between two scores that belong to different normal distributions.