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ra1l [238]
4 years ago
11

Miraculin - a protein naturally produced in a rare tropical fruit - can convert a sour taste into a sweet taste. Consequently, m

iraculin has the potential to be an alternative low-calorie sweetener. In Plant Science (May 2010), a group of Japanese environmental scientists investigated the ability of a hybrid tomato plant to produce miraculin. For a particular generation of the tomato plant, the amount x of miraculin produced (measured in micrograms per gram of fresh weight) had a mean of 105.3 and a standard deviation of 8.0. Assume that x is normally distributed. a. Find P(x > 120). b. Find P(100 < x < 110). c. Find the value a for which P(x < a) = .25 .
Mathematics
1 answer:
sineoko [7]4 years ago
8 0

Answer:

a) P(x > 120) = 0.74537

b) P(100 < x < 110) = 0.46777

c) Value of a = 110.7

Step-by-step explanation:

Let x = amount of miraculin produced (measured in micro grams per gram of fresh weight)

We are given <em>Mean, </em>\mu<em> = 105.3  and  Standard Deviation, </em>\sigma<em> = 8.0</em>

Also, since x is normally distributed so;

                    Z = \frac{x - \mu}{\sigma} follows N(0,1)

a) P(x > 100) = P( \frac{x - \mu}{\sigma} > \frac{100 - 105.3}{8.0} ) = P(Z > -0.6625) = P(Z < 0.66) = 0.74537

b) P(100 < x < 110) = P(x < 110) - P(x <= 100)

     P(x <= 100) = 1 - P(x > 100) = 1 - 0.74537 = 0.25463

     P(x < 110) = P( \frac{x - \mu}{\sigma} < \frac{110 - 105.3}{8.0} ) = P(Z < 0.59) = 0.72240

Hence, <em>P(100 < x < 110) = 0.72240 - 0.25463 = 0.46777</em>

c) Given expression is P(x < a ) = 0.25

                       ⇒ P( \frac{x - \mu}{\sigma} < \frac{a - 105.3}{8.0} ) = 0.25

                       ⇒ P(Z < \frac{a - 105.3}{8.0} ) = 0.25

By seeing the Z % table we find that the value of z which have an are of 25% is 0.6745 i.e.

                     \frac{a - 105.3}{8.0} = 0.6745

So, value of a = 0.6745*8 + 105.3 = 110.7 .        

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H_0: \mu\leq514\\\\H_1: \mu>514

B. Z=2.255. P=0.01207.

C. Although it is not big difference, it is an improvement that has evidence. The scores are expected to be higher in average than without the review course.

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H_0: \mu\leq514\\\\H_1: \mu>514

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The P-value is smaller than the significance level, so the effect is significant. The null hypothesis is rejected.

Then we can conclude that the score of 520 is significantly higher than 514, in this case, specially because the big sample size.

C.​ do you think that a mean math score of 520 vs 514 will affect the decision of a school admissions adminstrator? in other words does the increase in the score have any practical significance?

Although it is not big difference, it is an improvement that has evidence. The scores are expected to be higher in average than without the review course.

D. test the hypothesis at the a=.10 level of confidence with n=350 students. assume that the sample mean is still 520 and the sample standard deviation is still 119. is a sample mean of 520 significantly more than 514? find test statistic, find p value, is the sample mean statisically significantly higher? what do you conclude about the impact of large samples on the p-value?

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