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never [62]
3 years ago
9

An article in a local town newspaper discusses the results of state test scores in their town. The reporter headlines, "The stud

ents in this town don't have the necessary skills." The state test says that a score of 261 or higher on its test reflects the student has the skills needed to graduate. A local town newspaper conducted a random sample of 200 students and found the mean to be 257 and a standard deviation of 41 points. Is this sample result good evidence that the mean of all students in this town is less than 261
Mathematics
1 answer:
Amiraneli [1.4K]3 years ago
8 0

Answer:

We are supposed to find Is this sample result good evidence that the mean of all students in this town is less than 261

Sample size = n = 200

\bar{x}=257

\mu = 257

Since n>30

Standard deviation = \sigma = 41

So,we will use z test

H_0:\mu \geq 261\\H_a:\mu < 261

Formula : z=\frac{\bar{x}-\mu}{\frac{\sigma}{\sqrt{n}}}

Substitute the values

z=\frac{257-261}{\frac{41}{\sqrt{200}}}

z=-1.37

Now find the p value from the z table

P(z<-1.37)=0.0853

Let us suppose the significance level is 5 %

So, α = 0.05

p value > α

So, we accept the null hypothesis \mu \geq 261

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46.18% of the items will weigh between 6.4 and 8.9 ounces.

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We are given that the weight of items produced by a machine is normally distributed with a mean of 8 ounces and a standard deviation of 2 ounces.

<em>Let X =  weight of items produced by a machine</em>

The z-score probability distribution for is given by;

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The Z-score measures how many standard deviations the measure is away from the mean. After finding the Z-score, we look at the z-score table and find the p-value (area) associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X.

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Therefore, P(6.4 < X < 8.9) = 0.67364 - 0.21186 = 0.4618 or 46.18%

<em>Hence, 46.18% of the items will weigh between 6.4 and 8.9 ounces.</em>

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