n general, when we have a normal distribution, we change it to the standard normal distribution....

n general, when we have a normal distribution, we change it to the standard normal distribution. What is the reason for that?

Expert Solution

orchestra answered 2 years ago

4- In general, when we have a normal distribution, we change it to the standard normal...

4- In general, when we have a normal distribution, we change it to the standard normal distribution. What is the reason for that?

In a sample, we have n=140 and p=0.80. Using the normal distribution to find 99% confidence...

In a sample, we have n=140 and p=0.80. Using the normal distribution to find 99% confidence interval for the population proportion p. Round all answers to 3 decimal places. What is the standard error? What is the margin of error? Construct a 99% confidence interval for the population proportion p.

What is a t-distribution? Compare the t-distribution and the standard normal distribution. When do you use...

What is a t-distribution? Compare the t-distribution and the standard normal distribution. When do you use the t-distribution? The height of US women is normally distributed. A sample of 25 women shows an average hight of 160cm with a standard deviation of 5cm. Use t distribution to find the probability that the average height of randomly selected 25 women is greater than 172cm.

The standard normal distribution is a continuous distribution with a mean of 0 and a standard...

The standard normal distribution is a continuous distribution with a mean of 0 and a standard deviation of 1. The following is true: About 68% of all outcomes lie within 1 St.Dev. About 95% of all outcomes lie within 2 St.Devs. About 99.7% of all outcomes lie within 3 St. Devs. The probability/percentage/percentile for a normal distribution is the area under the curve. You will ALWAYS BE CALCULATING OVER AN INTERVAL. Values outside of 2 St.Devs. are considered “unusual values.”...

What is a standard normal distribution?

What is a standard normal distribution? Give details explaination.

Demonstrate the use of the normal distribution, the standard normal distribution, and the central limit theorem...

Demonstrate the use of the normal distribution, the standard normal distribution, and the central limit theorem for calculating areas under the normal curve and exploring these concepts in real life applications. Scenario Frank has only had a brief introduction to statistics when he was in high school 12 years ago, and that did not cover inferential statistics. He is not confident in his ability to answer some of the problems posed in the course. As Frank's tutor, you need to...

Open the Excel program Suppose we want to know the standard normal distribution up to the...

Open the Excel program Suppose we want to know the standard normal distribution up to the given value. That is P(Z < a). Lets use Excel instead of the standard normal distribution table In cell A1 type mean. In cell B1 type 0. That means that we are letting mean be zero. click on cell A2 and type SD. In cell B2 type 1. That means that we are letting standard deviation be one. That is, the normal distribution is...

Power questions. Suppose a population follows a normal distribution with a standard deviation of 1. We...

Power questions. Suppose a population follows a normal distribution with a standard deviation of 1. We take a random sample of n= 100 individuals from this population. We know, then, that sample mean for our population will have the property that X∼N(μ,1/100). (a)If μ= 10, find the probability that X >10.1645 (b)If μ= 10.3, find the probability that ̄X >10.1645 (c)Now, consider testing H0:μ= 10 vs H1:μ >10, using α= 0.05. What is the rejection rule for this test? Give...

What are the main differences between normal distribution and standard normal distribution? What are the main...

What are the main differences between normal distribution and standard normal distribution? What are the main characteristics of standard normal distribution and why do we need standard normal distribution?

The incomes of a population of lawyers have a normal distribution with mean US$88,000 and standard...

The incomes of a population of lawyers have a normal distribution with mean US$88,000 and standard deviation US$60,000. Forty-nine lawyers are selected at random from the above population to serve as a sample in a research project. Use the z for a sample mean formula and determine the probability that the one sample of 49 lawyers drawn at random will have a mean salary of US$90,000 or greater. a. .03 b. .23 c. -.03 d.-.23 e. .5120 f..4880 g. .5910...

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