The following 14 numbers are generated by a computer using a
N(u, standard deviation2) model.
49.62...
The following 14 numbers are generated by a computer using a
N(u, standard deviation2) model.
49.62 55.87 44.59 54.38 55.80 55.85 53.11
53.34 49.12 47.80 55.28 49.27 48.72 43.66
we wish to test H0 : u = 55 vs. HA : u is not = 55.
1. compute x and s2;
2. compute the t-statistic;
3. give an accurate p-value using SAS;
4. draw your conclusion by conducting your t-test at the 5%
significance level;
5. construct a 95% confidence...
Using a standard (balanced) die, the following sequence of
numbers is rolled : 1, 3, 5,...
Using a standard (balanced) die, the following sequence of
numbers is rolled : 1, 3, 5, 2, 6. Compute the amount of
information in bits for this event (i.e. the minimal amount of
information required to store this sequence).
Generate 100 random numbers using the RAND function and create a
frequency distribution and a histogram...
Generate 100 random numbers using the RAND function and create a
frequency distribution and a histogram with bins of width 0.1.
Apply the chi-square goodness of fit test (see Chapter 5) to test
the hypothesis that the data are uniformly distributed.
This question is from Business Analytics 3rd Edition by James R
Evans and from Chapter 12 and question 1
The question is from following book and from Chapter 12 question
1
Textbook: James Evans, Business Analytics,
3nd edition, 2019,...
(1) Using a generator for a binomial distribution, we will test
the results of Example 3.8.2....
(1) Using a generator for a binomial distribution, we will test
the results of Example 3.8.2. Using software generate 500 random
deviates for X from a B(10, 0.3) distribution and 500 random
deviates for Y from a B(5, 0.3) distribution. Add corresponding
random deviates from each distribution to form an empirical W=X+Y.
Then use the theoretical result of Example 3.8.2 and directly
generate another 500 random deviates for W from a B(15, 0.3). Order
the result of the sum of...
Using R and install.packages("MASS"), library(MASS)
1. Generate the following vector using at least two methods.
0,...
Using R and install.packages("MASS"), library(MASS)
1. Generate the following vector using at least two methods.
0, 0.5, 1, 1.5, 2, 2.5, 3, 3.5, 4
2. Generate the following vector.
Apple1, Banana2, Orange3, Cranberry4,
Watermelon5
3. Generate the following vector using the “rep” function.
a, a, b, b, c, c, a, a, b, b, c, c
4. In vector y = (8, 3, 5, 7, 6, 6, 8, 9, 2, 3, 9, 4, 10, 4,
11), which elements of y contains...