The answer is zero because the the discriminant is negative
If Sajid’s scale is 1:32, the ratio of the length of his model and the lorry is, of course, 1/32. Meaning that the lorry is (32*45)cm long. So, it is 1440 cm. If Chitra’s model uses the scale 1:72, every 72 cm of length of the lorry is 1 cm on the model, meaning that the length of his model is (1440/72) cm= 20 cm
2 x 8 =16
16 granola bars a week
52 x 16 = 832 granola bars in a year
Answer:
2.41
Step-by-step explanation:
Magnifcation = Image distance/object distance
Given;
Image distance = -53cm
Object distance = 22cm
Substitute
Magnification = 53/22
Magnification = 2.41
Note that the negative sign is not used in calculating magnification
<em>Note. The original question with options given on the bottom</em>
Answer:
F - 1, B -2, A - 3, D - 4, C - 5, E - 6
Step-by-step explanation:
<u>F. Sample </u>
- The 25 customers that the manager observed leave
<u>B. Population </u>
- All of the bank's customers
<u>A. Statistic </u>
- The average length of time that the 25 customers waited before leaving the bank
<u>D. Parameter </u>
- The average length of time that all customers will wait before leaving the bank
<u>C. Data </u>
- The list of times for the 25 customers who left the bank
<u>E. Variable </u>
- The length of time a customer waits before leaving the bank<em>
</em>
<em>========================================================</em>
Question
<em>A bank manager is interested in the average length of time that customers are willing to wait in line before they give up and leave the bank. Match the vocabulary word with its corresponding example.</em>
<em>---------------------</em>
1. The 25 customers that the manager observed leave
2. All of the bank's customers
3. The average length of time that the 25 customers waited before leaving the bank
4. The average length of time that all customers will wait before leaving the bank
5. The list of times for the 25 customers who left the bank
6. The length of time a customer waits before leaving the bank<em>
</em>
<em>---------------------</em>
- A. Statistic
- B. Population
- C. Data
- D. Param
eter
- E. Variable
- F. Sample