A large number of random variables observed in nature possess a frequency distribution that is approximately...
6 THE NORMAL PROBABILITY DISTRIBUTION (26) A large number of random variables observed in nature possess a frequency distribution that is approximately mound-shaped and can be modelled by a normal probability distri- bution (1) True (2) False (27) Suppose is a normal random variable with mean and standard deviation a. If is the standardized normal random variable of I, which of the following statements is false? (1) When the value of 2 = 0. (2) When I is less than...
Consider the observed frequency distribution for a set of grouped random variables available below. Perform a chi square test using a α =0.05 to determine if the observed frequencies follow the normal probability distribution with u-101 and ơ-19 EEl Click the icon to view the observed frequency distribution. State the appropriate null and alternative hypotheses. What is the null hypothesis? O A. H The mean number of the random variable is equal to 101 O B. Ho: The mean number...
Consider the observed frequency distribution for a set of grouped random variables available below. Perform a chi-square test using a=0.05 to determine if the observed frequencies follow the normal probability distribution with mu=99 and sigma=21. Random Variables X Frequency Fo Less than 78 10 78 to under 99 15 99 to under 120 19 120 and more 6 Total 50 Calculate the chi-square test statistic, chi squared χ2=_____. p-value=______.
Consider the observed frequency distribution for a set of grouped random variables available below. Perform a chi-square test using a alpha=0.05 to determine if the observed frequencies follow the normal probability distribution with mu=99 and sigma=20. Random Variable, x Frequency, f o Less than 79 9 79 to under 99 16 99 to under 119 18 119 and more 7 Total 50 Calculate the chi-square test statistic, χ2. χ2.=____ Determine the p-value_____ State the appropriate conclusion: Do not reject/Reject H...
Consider the observed frequency distribution for the set of random variables. a. Perform a chi-square test using alpha=0.05 to determine if the observed frequencies follow the binomial probability distribution when p=0.50 and n=4. b. Determine the p-value and interpret its meaning. Random Variable, X Frequency, Fo 0 29 1 96 2 151 3 96 4 28 Total 400 The chi-square test statistic is chi squared, χ2=______ p-value=______
3. Suppose that Yi and 2 are continuous random variables with joint pdf given by and zero otherwise, for some constant c >。 (a) Find the value of c. (b) Are Yi and Y2 independent ? Justify your answer. (c) Let Y = Yi + ½. compute the probability P(Y 3). (d) Let U and V be independent continuous random variables having the same (marginal) distri- 3 MARKS 1 MARK 3 MARKS bution as Y2. Identify the distribution of random...
1- Suppose a simple random sample of sizen is drawn froma large population with mean u and standard deviation o. The sampling distribution of x has mean ug and standard deviation= 2- As the number of degrees of freedom in the t-distribution increase, the spread of the distribution 3- True or False: The value of to.10 with 5 degrees of freedom is greater than the value of to.10 with 10 degrees of freedom. 4- True or False: To construct a...
Please answer the question clearly 8. Consider the random variables X and Y with joint probability density (PDF) given by f(r,y) below 2, r > 0, y > 0, i otherwise f(z, y)= 0, (a) Draw a graph of all the regions for values of X and Y you need to examine like the one given in Figure 10 on page 87. Label each one of the regions and clearly specify the values for r and y in each of...
11. Testing Goodness-of-Fit with a Discrete Uniform: An observed frequency distribution is as follows: Number of successes Frequency 0 90 1 1 18 2 60 3 19 It is claimed that the above observed distribution comes from a Discrete Uniform Distribution. • What is the hypothesis of interest? • What are the expected counts? • What is the name and value of appropriate test statistic? • What is the pvalue ? What is your conclusion?
3. The heights of all adults in a large city have an approximately normal distribution with a mean of 68 inches and a standard deviation of 4 inches. a) Find the probability that a randomly chosen height is less than 66 inches. b) Write the sampling distribution of sample mean for any sample size. Find the probability that the mean height of a random sample of 100 adults would be between 67.5 inches and 69 inches.