1. A Normal density curve (or distribution) has which of the following properties? A. It has a peak centered above its mean B. It is skewed C. The standard deviation is always equal to one D. All of the above 2. Assume X is a normally distributed random variable with a known population mean of 240 and a known population standard deviation 30. What can we conclude? A. Approximately 99.7% of the values of X are between 150 and 330. B. Approximately 99.7% of the values of X are between 210 and 270. C. Approximately 99.7% of the values of X are between 180 and 300. D. Approximately 95% of the values of X are between 150 and 330. 3. Scores on the national Pharmacy D. certification exam are approximately normally distributed with a mean of 575 points and a standard deviation of 42 points. If one person is selected at random, what is the probability that person will have score less than 600 points? A. 0.6000 B. 0.2743 C. 0.7257 D. 0.9583
Added by Andrew F.
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The correct properties are: - It has a peak centered above its mean - It is symmetric - The standard deviation is not always equal to one, it can vary Show more…
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1. The highest point of a skewed distribution curve occurs at _________. a. mean b. median c. mode d. None 2. If the mean of a normal distribution is negative, which of the following statement can be applied __________. a. the standard deviation must also be negative b. the variance must also be negative c. a mistake has been made in the computations because the mean of a normal distribution cannot be negative d. the standard deviation is always positive. 3. The standard deviation of the sampling distribution is also referred to as the _______. a. standard x b. standard error of the mean c. sample standard mean d. sample mean deviation 4. The standard deviation of a sampling distribution also called “standard error”, is an estimate of __________. a. sample standard deviation b. sample statistic c. point estimate d. population standard deviation 5. The purpose of statistical inference, from a sample data, is to provide information about the _________. a. sample based upon information contained in the population b. population based upon information contained in the sample c. population based upon information contained in the population d. mean of the sample based upon the mean of the population
Pritam S.
All possible samples of size 20 are taken from a population and the mean is computed for each sample. The mean of the sample means a) is equal to the square root of the sample variance. b) is less than the population mean c) is equal to the population mean d) can be any number Which of the following pairs of parameters is sufficient to define a specific normal curve? a) The mean and the standard deviation. b) The range and the standard deviation. c) The mean and the z-score. d) None of the above. Assume scores on a recent national statistics exam were normally distributed with a mean of 74 and a standard deviation of 6. a) Find the probability that a randomly selected student score more than 77 points? b) A random sample of 50 statistics students is selected. What is the probability that the mean score of this sample is more than 77 points? A sample of size 42 will be drawn from a population with mean 52 and standard deviation 9. a) Why is it appropriate to use the normal distribution to find probabilities for x (sample means)? b) Find the 55th percentile of x.
Frank D.
Please provide the following information. (a) What is the level of significance? State the null and alternate hypotheses. (b) Find the value of the chi-square statistic for the sample. Are all the expected frequencies greater than 5 ? What sampling distribution will you use? What are the degrees of freedom? (c) Find or estimate the $P$ -value of the sample test statistic. (d) Based on your answers in parts (a) to (c), will you reject or fail to reject the null hypothesis that the population fits the specified distribution of categories? (e) Interpret your conclusion in the context of the application. Ecology: Deer The types of browse favored by deer are shown in the following table (The Mule Deer of Mesa Verde National Park, edited by Mierau and Schmidt). Using binoculars, volunteers observed the feeding habits of a random sample of 320 deer. Use a $5 \%$ level of significance to test the claim that the natural distribution of browse fits the deer feeding pattern.
Chi-Square and $F$ Distributions
Chi-Square: Goodness of Fit
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