Answer:
See below
Step-by-step explanation:
A) The population of the poll is the United States Population EXCLUDING New England States. In other words, the population is all USA population except the New England population. Remember that population is all the set of individuals from where you extract your sample. The sample are those 2,700 adults interviewed.
B) The sampling used is, as said in the statement, a randome sampling.
C) Yes! There could be a bias because of the exclusion of New England States if the people who lives there tends to have more guns than the average american population. This could be, for example, due to that those states have the least gun owning in America or, contrary, if they have the highest. If Rode Island is the most violent state and has the highest gun owning rate, the results could be biased. However, we can't confirm it without seeing the data, but there is possible.
Answer:
The number of bacteria
after
days is given by

where
is the initial number of bacteria.
Step-by-step explanation:
The number of bacteria
in the sample triples every 10 days, this means after the first 10th day, the number of bacteria is

where
is the initial number of bacteria in the sample.
After the 2nd 10th days, the number of bacteria is

after the 3rd day,

and so on.
Thus, the formula we get for the number of bacteria after the <em>n</em>th 10-days is

where
is is the <em>n</em>th 10-days.
Since,
is 10 days, we have

or

Substituting that into
, we get:

Answer:
x+178x=2000 cans
Step-by-step explanation:
Hope this Helped
Answer:
Step-by-step explanation:
Hello!
To test if boys are better in math classes than girls two random samples were taken:
Sample 1
X₁: score of a boy in calculus
n₁= 15
X[bar]₁= 82.3%
S₁= 5.6%
Sample 2
X₂: Score in the calculus of a girl
n₂= 12
X[bar]₂= 81.2%
S₂= 6.7%
To estimate per CI the difference between the mean percentage that boys obtained in calculus and the mean percentage that girls obtained in calculus, you need that both variables of interest come from normal populations.
To be able to use a pooled variance t-test you have to also assume that the population variances, although unknown, are equal.
Then you can calculate the interval as:
[(X[bar]_1-X[bar_2) ±
*
]


[(82.3-81.2) ± 1.708* (6.11*
]
[-2.94; 5.14]
Using a 90% confidence level you'd expect the interval [-2.94; 5.14] to contain the true value of the difference between the average percentage obtained in calculus by boys and the average percentage obtained in calculus by girls.
I hope this helps!
K(-1+1.01)+0.03=-2.45-1.81k
0.01k+1.81k=-0.03-2.45
1.82k=-2.42
k=-2.45\1.82=1.3