a) Internal consistency
Explanation:
The consistency of different items meant to measure the same thing within the test. An internal consistency contains a special case of reliability to split half, the scores of two halves of a single test are compared. This comparison of two tests tends to index reliability.
Answer:
4%
Explanation:
If the real gross domestic product for the year grew by 2%
The inflation rate also grew by 2%
Then nominal GDP rate can be calculated as follows
= Real GDP + inflation rate
= 2% + 2%
= 4%
Hence the nominal gross domestic product grew by 4%
This type of sampling method is called cluster sampling. With cluster sampling, the researcher divides the population into distinct group so called clusters. Then, a simple random sample of clusters is particular from the population. The researcher conducts his investigation on data from the sampled clusters. Paralleled to simple random sampling and stratified sampling, cluster sampling has advantages and disadvantages. For example, given equal sample sizes, cluster sampling usually makes available less precision than either simple random sampling or stratified sampling. On the other hand, if travel costs between clusters are high, cluster sampling may be further cost-effective than the other methods.
Answer:
133 acres of sugar cane
and 300 of soybean provide a profit of $ 733,000
Explanation:
We setup the fromulas and use excel solver:
labor hours: 3 x sugar acres + 4 x soybean <= 1,600
profit = 1,000 x sugar acres + 2,000 soybean
with the restriction soybean <= 300
SOLVER
acres hours PROFIT
sugar cane 133 x 3 = 399 x 1,000 = 133,000
soybeans 300 x 4 = 1,200 x 2,000 =<u> 600,000 </u>
TOTAL 733,000
