Question

True or False: If we know the mean and the variance of the normal distribution we...

True or False: If we know the mean and the variance of the normal distribution we know its shape.

Math   Statistics-And-Probability   
0 0
Add a commentTranscribed image text
Next >

Homework Answers

Answer #1

0 0
Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Log In

Sign Up

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
Suppose we are testing null hypothesis that the mean of a normal distribution is 25 lbs...
Suppose we are testing null hypothesis that the mean of a normal distribution is 25 lbs against the alternative hypothesis that the mean is not 25 lbs using . We already know that the variance of the normal distribution is 4 lbs2 and we later find out that the true mean is actually 26 lbs.   Assuming we take n = 25 samples, what is the probability of a type II error for this test?  
True or False: a.) Variance is the mean of the squared deviation score. b.) For any...
True or False: a.) Variance is the mean of the squared deviation score. b.) For any population, a z-score of +1.00 corresponds to a location above the mean by one standard deviation. c.) In a distribution with s=8, a score of X=64 corresponds to z=-.50. The mean for this sample will be M=60. d.) Transforming X values into z-scores will not change the shape of the distribution. e.) One advantage of transforming X values into z-scores is that the transformation...
Indicate whether the following statements are true or false. If we took a random sample of...
Indicate whether the following statements are true or false. If we took a random sample of 35 subjects from some population, the associated sampling distribution of the mean would have the following properties: (a) Shape would approximate a normal curve. (b) Mean would equal the one sample mean. (c) Shape would approximate the shape of the population. (d) Compared to the population variability, the variability would be reduced by a factor equal to the square root of 35. (e) Mean...
1. True or False? A ChiSquare distribution and a normal distribution will always have the same...
1. True or False? A ChiSquare distribution and a normal distribution will always have the same shape? 2. What is the minimum value that a ChiSquare distribution can have? 3. Which ChiSquare distribution has a higher peak; One that has 15 degrees of freedom or one that has 5 degrees of freedom. 4. True or False?  If the differences between observed values and an expected values are small, you will get a large ChiSquare Statistic. 5. Explain in 4-6 sentences why...
TRUE OR FALSE: 1. The sampling distribution of (X-bar) is always a normal distribution according to...
TRUE OR FALSE: 1. The sampling distribution of (X-bar) is always a normal distribution according to the Central limit theorem. 4. If the sampled population is a normal distribution, then the sampling distribution of   (X-bar is normal only for a large enough sample size. 5. If p=.8 and n=50, then we can conclude that the sampling distribution of the proportions is approximately a normal distribution. 8. Assuming the same level of significancea, as the sample size increases, the critical t-value...
TRUE OR FALSE? Taking the natural log of a non-normal distribution will yield a distribution that...
TRUE OR FALSE? Taking the natural log of a non-normal distribution will yield a distribution that is closer to normal.
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...
Y~ Normal Distribution with mean 4 and variance 4. a. We have P(Y< y)=.9 find the...
Y~ Normal Distribution with mean 4 and variance 4. a. We have P(Y< y)=.9 find the y b. Find P(1<Y<2) c. Find P(Y< -2) d. Find P(Y>-2)
In which of the following scenarios can we assume a Normal distribution for the sample mean?...
In which of the following scenarios can we assume a Normal distribution for the sample mean? a. Sample of size 2 comes from a population with normal distribution (known variance) b. Sample of size 10 comes from a population with normal distribution (unknown variance) c. Sample of size 300 comes from a population with some unknown distribution d. Sample of size 15 comes from a population with some unknown distribution
The standard normal distribution is also called a finite distribution because its mean is zero and...
The standard normal distribution is also called a finite distribution because its mean is zero and standard deviation one, always. Select one: True False
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT