Answer: B. A reduction in market price will lead to an increase in quantity demanded.
The law of demand states that normal goods have a higher demand at lower prices, because the demand curve is downward sloping which means that the lower the price the more of it people will be willing to buy, so a reduction in market price will mean that now more people are willing to buy that good. For eg a car normally sells $80,000 and 1000 cars are sold in a month, because of technological advances the company now sells the car for $60,000 because of this decrease in price more people will be willing to buy the car and the the monthly sales will be more than a 1,000 cars because at the price of $60,000 more people will be willing to buy this car.
Explanation:
The command that would help to show the total sales distributed in the month that she wants to see is the Show Field List.
<h3>What is the show field list?</h3>
This is the command that tells the spreadsheet that you want to view the values that are in a field.
This command would show the list after you carry out the action of right clicking on the pivot table.
Read more on the pivot table here:brainly.com/question/15214258
<span>Zahra
is an employee at colorz inc. she loves gossiping about her colleagues
during office hours, which causes her to receive a reprimand by her
supervisor, dan. a few days later, dan fires gunther, another
subordinate, from work for a similar reason. the employees reporting to
dan are most likely to conclude he demonstrates a lack of outcome fairness in
dealing with employees who gossip at work.
</span><span>Outcome fairness is a judgment that the consequences given to employees are just.</span>
Answer:
a) H0: u = presence of a unit root
HA: u ≠ presence of a unit root ( i.e. stationary series )
b) t stat = -0.064
c) We will reject the Null hypothesis and the next step will be to accept the alternative hypothesis
d) It is not valid to compare the estimated t stat with the corresponding critical value because a random walk is non-stationary while the difference is stationary because it is white noise
Explanation:
<u>a) stating the null and alternative hypothesis</u>
H0: u = presence of a unit root
HA: u ≠ presence of a unit root ( i.e. stationary series )
<u>b) performing the test </u>
critical value = -2.88
T stat = coefficient / std error
= -0.02 / 0.31 = -0.064
c) From the test, the value of T stat > critical value we will reject the Null hypothesis hence the next step will be to accept the alternative hypothesis
d) It is not valid to compare the estimated t stat with the corresponding critical value because a random walk is non-stationary while the difference is stationary because it is white noise
How can I ensure that my coworkers and I are in a safe working environment. If your company has an industrial hygienist and also your safety officer can inspect.
