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Leno4ka [110]
3 years ago
13

Information on a packet of seeds claims that 93% of them will germinate. Of the 200 seeds that I planted, only 175 germinated. (

a) Find a 95% CI on the true proportion of seeds that germinate based on this sample. (b) Does this seem to provide evidence that the claim is wrong
Mathematics
1 answer:
Anvisha [2.4K]3 years ago
5 0

Answer:

We reject H₀

we accept Hₐ seeds in the packet would germinate smaller than 93%

Step-by-step explanation:

Test of proportions

One tail-test  (left side)

93 %   =  0.93

p₀  =  0,93

1.- Hypothesis

<h3>H₀            ⇒ null  hypothesis                p₀ = 0.93</h3><h3>Hₐ            ⇒ Alternative hypothesis     p  = 0.875</h3><h3>2.-Confidence interval   95 %</h3><h3>α = 0,05  </h3><h3>and </h3><h3>z(c)  =  -  1.64</h3><h3>3.- Compute z(s)</h3><h3>z(s) = (p  -  p₀)/√(p₀*q₀)/n    z(s) = (0.875-0.93)/√0.93*0.07)200</h3><h3>z(s) =  -  0,055/ √0.0003255</h3><h3>z(s) =  - 0.055/ 0.018</h3><h3>z(s) =  - 3,06</h3><h3>4.-Compere z(c)   and  z(s)</h3><h3>z(s)  <  z(c)          -3.06  <  -1.64</h3><h3>z(s)  is in rejection region, we reject H₀</h3>
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A repeated-measures study comparing two treatments with n = 4 participants produces md = 2 and ss = 75 for the difference scores
valentinak56 [21]

The estimated standard error for the sample mean difference is  2.5 .

According to the question

A repeated-measures study comparing two treatments

n = 4

MD(mean difference) = 2

SS (sum of square) = 75

Now,

error for the sample  

Formula for standard error

S^{2} = \frac{SS}{n-1}

by substituting the value

S^{2} = \frac{75}{4-1}

S^{2} = \frac{75}{3}

S² = 25

S = 5 (s is never negative)

Standard error of the estimate for the sample mean difference

As

The standard error of the estimate is the estimation of the accuracy of any predictions.

The formula for standard error of the mean difference

standard error of the mean difference  =\frac{standard\\\ error}{\sqrt{n} }  

standard error of the mean difference = \frac{5}{\sqrt{4} }  

standard error of the mean difference = 2.5

Hence, the estimated standard error for the sample mean difference is  2.5 .

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5 0
1 year ago
Attached as photo. Please help
Effectus [21]

By Euler's method the <em>numerical approximate</em> solution of the <em>definite</em> integral is 4.189 648.

<h3>How to estimate a definite integral by numerical methods</h3>

In this problem we must make use of Euler's method to estimate the upper bound of a <em>definite</em> integral. Euler's method is a <em>multi-step</em> method, related to Runge-Kutta methods, used to estimate <em>integral</em> values numerically. By integral theorems of calculus we know that definite integrals are defined as follows:

∫ f(x) dx = F(b) - F(a)     (1)

The steps of Euler's method are summarized below:

  1. Define the function seen in the statement by the label f(x₀, y₀).
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    xₙ₊₁ = xₙ + (n + 1) · Δx     (2)
    yₙ₊₁ = yₙ + Δx · f(xₙ, yₙ)     (3)
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The table for x, f(xₙ, yₙ) and y is shown in the image attached below. By direct subtraction we find that the <em>numerical</em> approximation of the <em>definite</em> integral is:

y(4) ≈ 4.189 648 - 0

y(4) ≈ 4.189 648

By Euler's method the <em>numerical approximate</em> solution of the <em>definite</em> integral is 4.189 648.

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2 years ago
In a housing estate the direct proportion of flats to houses is 2:5. If there are 80 flats, how many houses are there?
Kobotan [32]

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aliina [53]

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1. If p(x) = 3x + 4x² - 5x +8, find p(-2).​
levacccp [35]

Step-by-step explanation:

\small{\underline{\tt{\red{Given}}}}

\rightarrow p(x) = -2

\small{\underline{\tt{\green{solution}}}}

\rightarrowp(x) = 3x +  {4x }^{2}  - 5x + 8

\rightarrowp( - 2) = 3( - 2) + 4( { - 2}^{2} ) - 5( - 2) + 8

\rightarrowp( - 2) =  - 6 + 16  + 10 + 8

\rightarrowp( - 2) = 10 + 18

\rightarrowp( - 2) =  28

\small\boxed{p(-2) = 28 }

Hope it helps

4 0
3 years ago
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