TRUE OR FALSE> When using parametric statistics, you are required to have a sample size of at least 30?

Q: Explain how the F-test statistics is calculated and what it tells us about the variance between and…

A: In ANOVA, “SS” stands for “sum of squares”, “df” stands for degrees of freedom, F is for the test…

Q: What is a sample mean? What is a sample proportion? Summarize the notation used for these…

A: Sample mean : It is sum of all observation in the sample divided by total number of observations.…

Q: The difference between two sample means follows a normal distribution if both populations follow a…

A: True We can find it by using the Central limit theorem. By the theorem, difference in sample means…

Q: What are three significant pieces of information we need to know to summarize a distribution?

A: The three significant pieces of information we need to know to summarize a distribution are as…

Q: MidHinge Yes = Is the MidHinge resistant to outliers? No (Lower Quartile + Upper Quarti 2

A: It is given asMidHinge = ( Lower quartile + Upper quartile )/2

Q: The distribution of sample proportions tends to approximate a normal distribution. true or false?

A: The sample proportion is the number of favorable outcomes to the total number of outcomes. It is…

Q: True/False   the sampling distribution of the mean will have the same mean as the original…

A: As standard deviation of the sampling distribution of the sample mean is σnwhich is not equal to σ

Q: The absolute difference between the population mean and the sample mean is called the

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Q: What are requirements for testing a claim about a population mean with a known?

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Q: Explain the formula for the variance of the sampling distribution of the mean?

A: Central Limit Theorem for mean: If a random sample of size n is taken from a population having mean…

Q: Z= 123 - 105 / 15  Second Part is a fraction. This is statistics to find the normal curve, please…

A:

Q: What is meant by the process of statistics

A: Process of statistics: It involves the following steps.

Q: Can you describe the normal curve and explain why the normal curve in real-life distributions will…

A: Normal distribution: A normal distribution is the proper term for a probability bell curve. In a…

Q: You cannot assume that a random sample taken from a population  follows a normal distribution if the…

A: Answer:- Normal distribution:-

Q: The distribution of sample variances tends to be a distribution skewed to the right. true or false?

A: When sampling from a normal distribution, by the definition of the Chi-square variate,…

Q: What are the characteristics of a normal distribution? What two characteristics make a distribution…

A: Given that  What are the characteristics of a normal distribution?   What two characteristics make a…

Q: When do we use a t-statistic instead of a z-statistic to help infer a mean?

A: Hypothesis tests are used to test population claims. It has two population statements, where one is…

Q: hen you have two independent populations, explain the similarities and differences between the test…

A: Our aim is to explain the similarities and differences between the test of hypothesis for the…

Q: What is the p-value for this sample ? ( Report answer accurate to four decimal places.)  p-value=

A: Introduction: For the given notations, the t-test statistic is: t = (M – μ) / (SD/√n).

Q: What is the best point estimate for the population's variance if the sample variance is 41?

A: Given,sample variance(s2)=41

Q: in to me a good example of what the mean of sampling distribution i

A: The sampling distribution of a statistic is known as the probability distribution of all the…

Q: The distribution of sample variances tends to be a normal distribution. true or false?

A: The statement provided that the distribution of sample variances tends to be normal.

Q: As the sample size increases, the margin of error Group of answer choices decreases increases stays…

A: As the sample size increases, the margin of error We have to choose correct option:    decreases…