Answer:
1
Step-by-step explanation:
Ok, so the third and fourth don't seem right. I am going to assume it's either 1 or 2. Sorry if you get it wrong because of me.
Answer:
720ft²
Step-by-step explanation:
Wall 1&2 = lh = 15*10=150
Wall 3&4 = wh = 12*10=120
Ceiling = lw = 12*15=180
120+150+120+150+180=720ft²
Yes it is true that commercial truck owners violate laws requiring front license plates at a higher rate than owners of passenger cars because null hypothesis is rejected.
Given among 2049 Connecticut passenger cars, 239 had only rear license plates. Among 334 Connecticut trucks, 45 had only rear license plates.
let
be the probability that commercial cars have rear license plates and
be the probability that connected trucks have rear license plates.
Cars Trucks Total
Total 2049 334 2383
x 239 45 284
p 0.1166 0.1347 0.1191
α=0.05
Hypothesis will be :


It is a left tailed test at 0.05 significance.
Standard errors of p=
=
=
=0.0066
Test statistic Z=p difference/standard error
=(0.1166-0.1347)/0.0066
=-0.0181/0.0061
=-2.967
p value=0.001505<5%
Since p is less than 5% we reject null hypothesis.
We cannot calculate standard deviation so we cannot calculate confidence interval.
Hence there is statistical evidence at 5% significance level to support that commercial truck owners violate laws requiring front license plates at a higher rate than owners of passenger cars.
Learn more about z test at brainly.com/question/14453510
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-452°F < 212°F
A negative number is always less than a positive.
Answer:
d. Ore treated with the new process.
Step-by-step explanation:
This is a common practice in statistics, in which we use a sample of a population to infer something about the entire population. We should use a sample of 100.
For example, if we want to know the proportion of residents of Buffalo, New York, who are Bills fans, we are going to take a sample of like, 100 residents, and then use this to estimate for the entire city.
In this problem, we have that:
A new process that is supposed to increase the recovered amount is being tested. In a simple random sample of 100 batches of ore, an average of 42 pounds per ton were recovered using the new process.
So the population of interest is the ore treated with new process. We use a sample of 100 to gather information about the entire population.
So the correct answer is:
d. Ore treated with the new process.