The gross profit is more inportant than the net profit
Answer:
The correct answer is True.
Explanation:
This statement, a cost object is anything for which management desires a separate tracking of costs, while a cost driver is the factor that causes the cost object to increase or decrease, is correct.
These terms are mostly used in activity based costing (ABC) system.
Examples of Cost Object are material procurement costs, quality control costs, materal handling costs, line set up costs e.t.c.
Example of Cost drivers are number of purchase orders, number of inspections, numbers of set-ups e.t.c.
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.
The maximum number of accounts allowed within the chart of accounts in QuickBooks Online Plus is: 250 chart.
<h3>What is
chart of accounts in QuickBooks?</h3>
Chart of accounts in QuickBooks can be defined as the account that are mostly use in tracking every financial statement or information.
The Chart of accounts in QuickBooks should not be more than 250 chart of account based on the fact that if your account is higher than 250 in your chart of account this can tend to lead to suspension of the subscription you made.
Therefore the maximum number of accounts allowed within the chart of accounts in QuickBooks Online Plus is: 250 chart.
Learn more about chart of accounts in QuickBooks here:brainly.com/question/14493199
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Answer:
Because the test statistic is less than the critical value, we can reject the null hypothesis and conclude that the population correlation coefficient is less than zero.
Explanation:
Because the question is based on the hypothesis test of the significance of the correlation coefficient to decide whether the linear relationship in the sample data is strong enough to use to model the relationship in the population. If the tests concludes that the correlation coefficient is not significantly different from zero, it means that the correlation coefficient is not significant.
