In this problem situation:
- the independent quantity is <em><u>the money</u></em> Angela's grandfather gave her
- the dependent quantity is the <em><u>number of raffle ticket</u></em> Angela will buy.
An independent quantity is the quantity that affects or brings a change in a dependent quantity.
The dependent quantity is affected by the independent quantity. If the independent quantity changes, the dependent quantity will change.
The dependent quantity is dependent on the independent quantity.
<em><u>Let's relate it to the </u></em><em><u>problem situation</u></em><em><u>:</u></em>
- The amount of money Angela's grandfather gave her is unknown, therefore, the number of raffle tickets Angela can buy cannot be ascertain.
- If we know <em>how much Angela's grandfather gave her</em>, we can determine <em>how many </em><em>raffle tickets </em>Angela can buy.
- This implies that the number of raffle ticket Angela will buy is dependent on how much money her grandfather gave her.
Therefore, in this problem situation:
- the independent quantity is <em><u>the money</u></em> Angela's grandfather gave her
- the dependent quantity is the <em><u>number of raffle ticket</u></em> Angela will buy.
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I think 12. I'm not sure though. The way I came up with that answer is the tree diagram. I used the numbers 1, 2, 3, 4, . Then I did the tree diagram method.
Answer:
Z= 0.253
Z∝/2 = ± 1.96
Step-by-step explanation:
Formulate the null and alternative hypotheses as
H0 : u1= u2 against Ha : u1≠ u2 This is a two sided test
Here ∝= 0.005
For alpha by 2 for a two tailed test Z∝/2 = ± 1.96
Standard deviation = s= 15
n= 10
The test statistic used here is
Z = x- x`/ s/√n
Z= 2058- 2046 / 15 / √10
Z= 0.253
Since the calculated value of Z= 0.253 falls in the critical region we reject the null hypothesis.
There is evidence at the 0.05 level that the doors are too short and unusable.
Answer:
160 well it was 155 but u round up to 160
Step-by-step explanation: