Arthemetic mean is 32 and standard deviation is 24 then value 70 is transformed , what is that value using zero - score normalization.

Q: Q3 Find an estimate of the variance and standard deviation of the following data in Table 1 for the…

A: According to the Question below the Solution:

Q: Question 1 From the flowing population calculate 1- Range 2- Mean 3- Coefficient range 4- Standard…

A: 1.)Range = 18 2.)Mean = 0 3.)Coefficient Range = undefined 4.)Standard Deviation = 5.627

Q: In the goodness-of-fit measures, interpret the coefficient of determination for Earnings with Model…

A: For model coefficient of determination R​​​​​​2=0.7005 Interpretation of coefficient of…

Q: Q2. Use the fact table in Q1 to illustrate what is meant by “the sum() measure is distributive",…

A: The solution is given below for the above-given question:

Q: tate the result for each:  Provide explanation:

A: Given diagram: -

Q: For the data given below, find the best-fitting line (according to the criteria of the…

A: Instruction: linear fit {1, 1.2},{2, 2.3},{3, 3.6},{4, 4.9},{5,5.9}   Screenshot:

Q: OLS Regression Results Dep. Variable: Model: Method: Date: Time: No. Observations: Df Residuals: Df…

A: As per the given output :

Q: Which of the following correctly represents the coefficient of determination in terms of the…

A: Coefficient of determination is the proportion of variance explained. Hence, the term that…

Q: is this statement true? When outliers are important then it is important not to change the current…

A: answer is

Q: Which of the following distributions has the lowest variability? frequency mean Distribution 2 1…

A: Computer performance variability can be defined as the how far is the data points from one to other…

Q: 22 32 36 35 41 56 34 29 24 30 30 25 29 32 24   find One-way ANOVA (One-way analysis of variance)

A: your question is about finding one-way ANOVA. let's see the solution of the question

Q: Make a truth table for   P or not q What is your last column answer(read from top to bottom)?

A: Make a truth table for   P or not q

Q: Write a R-code to find mean, median and mode for your own raw data of 15 observations. Give the…

A: It is calculated by taking the sum of the values and dividing with the number of values in a data…

Q: After running a multiple regression on sample of 124 students in a university, following results are…

A: In point a: The value of t is critical because at 5% significance stage = 1.96 The variable is…

Q: A dataset consists of 1,000 elements. Using cross-validation, the sample error rate of hypothesis h1…

A: Answer: I have given answered in the handwritten format in brief explanation

Q: Don't forget to use the appropriate concepts for CI for mean, variance and median

A: Mean The formula for the mean of a population is

Q: When you use GRETL, how do you run a model for a generalised least squares guess?

A: Introduction: GRATL is an econometric program that may be used with various open-source statistical…

Q: There are 4 paths as follows:               Path 1: Start → 1 → 4 → 5 → 6 → 7 → 8 → 9 → 10 → End…

A: SOLUTION:-   1.1   Activity/event a c b Mean Variance Start      1 5 15 30 16.6666667 158.333333 2 5…

Q: The associated R function is dlnorm(x, meanlog = 0, sdlog = 1) is for ________ distribution. a)…

A: Please find the answer below :

Q: What’s does the Welch’s t test result means for two different groups? Welch’s t test result =…

A: The two-sample t-test (also known as the independent samples t-test) is a method used to test…

Q: Draw a histogram for each item below. Normalize the histogram. Also have the pdfs plotted and show…

A: The Rician distribution can be viewed as a distribution that models the square root of . sum of…

Q: Which of the following Python methods is used to perform an unpaired t-test for the difference in…

A: CORRECT OPTION: Which of the following Python methods is used to perform an unpaired t-test for the…

Q: Using box and whisker plot, what do we get? * a) Interquartile Range (IQR) and the outliers   b)…

A: Option A is correct answer

Q: Correlations are distorted if the data is standardized. True False

A: The answer is given in next step

Q: Which of the following is true for the normal distribution? o the mean, median, and mode are all…

A: Given: Which of the following statements about the normal distribution is correct?

Q: In order to address scale dependency of the correlation formula Corr,y = EN= x[n]y[n] we use…

A: Find the answers attached.

Q: independent and dependent variables.

A: NOTE: According to the guidelines of bartleby we can only answer one question.

Q: A correlation coefficient equal to means 100% correlation in the opposing sens O -100 O 1

A: Correlation is the measure of extent into which the changes in the values of two or more variables…

Q: calculate mean median and mode for the following data pertaining to marks in statistics out of 140…

A: The answer to the following question:-

Q: Use the truth table to check whether that P -> Q has the same results as ~P Ú Q.  Briefly explain…

A:

Q: What is “good fit” vs “poor fit” in chi square? And what happens if my chi value is a good fit?

A: The answer is

Q: This implies an assumption that the probability of each sample is independent  from the others.…

A:

Q: Given the following numbers that represent given course, find the following: 90, 85, 75, 45, 95, 66,…

A:

Q: In a left-skewed distribution, which is greater? O a. standard deviation O b. variance O c. mode O…

A: If one tail is longer than the other, then the distribution is skewed. If the left tail is long,…

Q: variance of a multiset {x1, x2, . .., xn} is defined as where µ is the mean, which equal n he…

A: Here we are required to develop a C++ code to find the minimum possible variance R.   First let's…

Q: Question 19 If R is a random variable on a sample space S and expected value E(R) = p, then the…

A: The variance of a random variable x , with mean Ex=μ , is defined as V(x)=E[(x-μ)2]

Q: Perform first normalization based on the table information given.

A: Please refer to the following step for the complete solution of the problem above.

Q: How does parameter K affect the prediction accuracy

A: KNN algorithm fairs across all parameters of considerations. It is commonly used for its easy of…

Q: Is this statement true? When outliers are important then it is important not to change the current…

A: Normalization is the process where the effectively and efficiently organising the data is taken care…

Q: Question 2: From normal distribution with mean of 20 and standard deviation of 10, generate to 1000…

A: Generating 1000 samples with the mean 20 and standard deviation of 10 norm <- rnorm(1000, 20, 10)…

Q: Fit the following data using Cubic Regression 1 0.452 3 4 5 8.5 f(x) 0.724 0.918 0.966 0.948 1.7

A: The fitted Cubic Regression for the given data is as follows.

Q: What must the sum of an HMM probablility distribution be? Why is this the case? Please explain the…

A: Emission probabilities are the probabilities that define how probable John is to phone us on a given…

Q: 158. The associated R function is dlnorm(x, meanlog = 0, sdlog = 1) is for ________ distribution

A: Question 158. The associated R function is dlnorm(x, meanlog = 0, sdlog = 1) is for ________…

Q: Testing

A: Given :-   H0:μ=5.945H0:μ=5.945 H1:μ>5.945H1:μ>5.945 Also, it is given that sample consists of…

Q: Outliers are values outside the range between Q1 - 1.5 * IQR and this

A:

Q: Make a truth table for   P or not q What is your last column answer(read from top to bottom)?…

A: The two variable are p and q.  The different columns we have are for p, q, not q and p or not q.

Q: Which of the following statements are true for bias and variance Classifiers with low bias typically…

A: Bias Bias is the difference between the average prediction of our model and the correct value which…

Q: 15 The test statistic for a multinomial test of proportions is: t р OF Previous

A: In the given question The test statistic for a multinomial test of proportions is: p

Q: A regression result of y = Bo + B1x1 + ɛ is given in the below plot, where y is Sales, and x, is TV.…

A:

Requirement Analysis

A process that determines the user expectations for a software product is called requirement analysis. In software engineering, requirement analysis is known as requirement engineering. It involves communication with end-users and stakeholders to determine whether the system or software requirements are validated, conflicts are solved, and key requirements are documented. The first activity of the Software Development Life Cycle (SDLC) is requirement analysis.