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Wewaii [24]
3 years ago
6

A research scientist wants to know how many times per hour a certain strand of bacteria reproduces. The mean is found to be 10.3

reproductions and the population standard deviation is known to be 2.1. If a sample of 728 was used for the study, construct the 99% confidence interval for the true mean number of reproductions per hour for the bacteria. Round your answers to one decimal place.
Mathematics
1 answer:
user100 [1]3 years ago
6 0

Answer:

Confidence interval for the true mean number of reproductions per hour for the bacteria is (10.1,10.5).

Step-by-step explanation:

We are given the following in the question:

Population mean, μ = 10.3

Population standard deviation, σ = 2.1

Sample size, n = 728

Alpha, α = 0.01

Confidence interval:

\mu \pm z_{critical}\frac{\sigma}{\sqrt{n}}

Putting the values, we get,

z_{critical}\text{ at}~\alpha_{0.01} = \pm 2.58

10.3 \pm 2.58(\frac{2.1}{\sqrt{728}} ) = 10.3 \pm 0.2008 = (10.0992,10.5008) \approx (10.1,10.5)

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n Hamilton County, Ohio the mean number of days needed to sell a home is days (Cincinnati Multiple Listing Service, April, 2012)
Readme [11.4K]

Answer:

There is enough evidence to support the claim that the mean number of days until a home is sold is different than the Hamilton county mean of 86 days in the nearby county.

Test statistic t=-1.8974

P-value = 0.0326

Step-by-step explanation:

<em>The question is incomplete:</em>

<em>"In Hamilton County, Ohio the mean number of days needed to sell a home is 86 days (Cincinnati Multiple Listing Service, April, 2012). Data for the sale of 40 homes in a nearby county showed a sample mean of 80 days with a sample standard deviation of 20 days. Conduct a hypothesis test to determine whether the mean number of days until a home is sold is different than the Hamilton county mean of 86 days in the nearby county. Round your answer to four decimal places."</em>

This is a hypothesis test for the population mean.

The claim is that the mean number of days until a home is sold is different than the Hamilton county mean of 86 days in the nearby county.

Then, the null and alternative hypothesis are:

H_0: \mu=86\\\\H_a:\mu< 86

The significance level is 0.05.

The sample has a size n=40.

The sample mean is M=80.

As the standard deviation of the population is not known, we estimate it with the sample standard deviation, that has a value of s=20.

The estimated standard error of the mean is computed using the formula:

s_M=\dfrac{s}{\sqrt{n}}=\dfrac{20}{\sqrt{40}}=3.1623

Then, we can calculate the t-statistic as:

t=\dfrac{M-\mu}{s/\sqrt{n}}=\dfrac{80-86}{3.1623}=\dfrac{-6}{3.1623}=-1.8974

The degrees of freedom for this sample size are:

df=n-1=40-1=39

This test is a left-tailed test, with 39 degrees of freedom and t=-1.8974, so the P-value for this test is calculated as (using a t-table):

\text{P-value}=P(t

As the P-value (0.0326) is smaller than the significance level (0.05), the effect is  significant.

The null hypothesis is rejected.

There is enough evidence to support the claim that the mean number of days until a home is sold is different than the Hamilton county mean of 86 days in the nearby county.

4 0
3 years ago
NEED HELP!!! URGENT.................
OleMash [197]

Answer:

C because Thats the only one that is proportional on all three;hope this helps if it is right

6 0
3 years ago
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dimulka [17.4K]
It would be 1 and 6/7
8 0
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Can someone help me with this
stiks02 [169]

Answer:

x = 5

Step-by-step explanation:

4x = 1x + 15 \\ 4x - 1x = 15 \\ 3x = 15 \\  \frac{3x}{3}  =  \frac{15}{3}  \\ x = 5

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What’s the answer please??
vodomira [7]

Answer: C


Step-by-step explanation:


7 0
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