Answer:
d. both the slope and price elasticity of demand are equal to 0.
Step-by-step explanation:
In order to graph the demand curve, the quantity demanded is plotted along x-axis and the price is plotted along y-axis. An image attached below shows the horizontal demand curve.
Horizontal demand curve, as its name indicates, is a horizontal line which is parallel to x-axis. Since, the slope of any line parallel to x-axis is 0, we can conclude that the slope of Horizontal demand curve is 0.
A horizontal demand curve can be observed for a perfectly competitive market. Since, its a perfect competition, the price of a product by all competitors will be the same. In this case, if a firm decides to increase the price, he will loose his market share as no customer will buy the product at increased price. They will rather go with the other competitor who is offering a similar product at lower price.
On the other hand, if a competitor decides to lower his price in such case, he will experience loss. Therefore, the competitors do not have the option to change the price. Therefore, we can say the price elasticity of demand in this case is 0.
So, option D describes the horizontal demand curve correctly.
Answer: same.
Step-by-step explanation:
To find the answer to this problem, you just need to figure out which total amount of candy is divisible by 7.
161/7=23
<span>162/7=23.1428571429
</span>145/7=<span>20.7142857143
128/7=</span><span>18.2857142857
Obviously, Julie cannot give a fraction of an amount of candy to someone. So that rules out that she had 162, 145, or 128 pieces of candy.
The only amount of candies that Julie could have that is divisible by 7 is 161 candies, which means that 161 is your answer.</span>
Answer: C.It has a negative association
Step-by-step explanation:
Answer:
Option Y is correct.
Step-by-step explanation:
We are given the table representing the relation between new students and returning students for difference classes.
It is required to form the relative frequency table for the given situation.
So, relative frequency table is obtained by dividing the valued by the total number of values in the data set.
<em>Thus, we will get the relative frequency table by dividing the given table values by 500.</em>
Hence, we will get the following table,
New Students Returning Students Total
10th 0.01 0.34 0.35
11th 0.006 0.324 0.33
12th 0.004 0.316 0.32
Total 0.02 0.98 1
Thus, option Y is correct.