Youre gonna need to reupload with a picture
Answer:
Step-by-step explanation:
Step-by-step explanation:
(-2,0) is over to the left 2 and don't go down or up
Answer:
Answer 4, the bottom right answer
Step-by-step explanation:
Question was pretty blurry so I had to write it out:
The school Spanish Club is holding a car wash to raise $200 to attend a conference. After spending $10 on supplies, the club will was cars for donations of $4 each.
The situation can be modeled by the inequality 4z-10≥200, which has the solution z≥52.5. What is the best way to interpret this solution?
1. At least 53 members of the Spanish Club must volunteer to help at the car wash.
2. The Spanish Club should have spent at least $52.50 on supplies.
3. The Spanish Club needs $52.50 more to meet its goal.
4. The Spanish Club must wash at least 53 cars to meet its goal.
The answer would be 4, because the inequality is saying 4 dollars times the number of cars minus 10 dollars (for supplies) has to be greater than or equal to their goal of 200 dollars they want to raise.
Another way to explain: The 4z would represent how much money they would make for all the cars they wash, but they have to subtract 10 dollars for the supplies. This total has to be equal to or more than their goal of 200 dollars.
Answer:
a) point estimate is 30%
b) null and alternative hypothesis would be
: p=27%
: p>27%
c) We reject the null hypothesis, percentage working people aged 65-69 had increased
Step-by-step explanation:
<em>a. </em>
Point estimate would be the proportion of the working people aged 65–69 to the sample size and equals 
ie 30%
<em>b.</em>
Let p be the proportion of people aged 65–69 who is working. OECD claims that percentage working had increased. Then null and alternative hypothesis would be
: p=27%
: p>27%
<em>c.</em>
z-score of the sample proportion assuming null hypothesis is:
where
- p(s) is the sample proportion of working people aged 65–69 (0.3)
- p is the proportion assumed under null hypothesis. (0.27)
- N is the sample size (600)
then z=
= 1.655
Since one tailed p value of 1.655 = 0.048 < 0.05, sample proportion is significantly different than the proportion assumed in null hypothesis. Therefore we reject the null hypothesis.
