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Vikki [24]
1 year ago
6

Please answer quickly

Mathematics
1 answer:
ValentinkaMS [17]1 year ago
4 0

1a. 10. 24

1b. 125/243

2a. 0. 0048

2b. 32/3125

3a. 0. 64

3b. 0. 0031

4a. 2/5

4b. 48. 735

5a. 2. 36

5b. 1. 39

<h3>How to determine the values</h3>

1a. Given the values

(2/5)^2/(1/2)^6

Multiply both the numerator and denominator by the powers

⇒ \frac{\frac{4}{25} }{\frac{1}{64} }

To find the common ration, multiply thus;

⇒ \frac{4}{25}<em> × </em>\frac{64}{1}

⇒ \frac{256}{25}

= 10. 24

1b. (5/7)^2 × (5/7)^1

= \frac{25}{49} × \frac{5}{7}

= \frac{125}{343}

= 125/243

2a. 0. 6^1  × 0. 2^3

= 0. 6 × 0. 008

= 0. 0048

2b. (2/5)^3 × (2/5)^2

= \frac{8}{125} × \frac{4}{25}

<em>= </em>\frac{32}{3125}

= 32/ 3125

3a. 1^99 - 0. 6^2

= 1 - 0. 36

= 0. 64

3b. (0. 2 ) ^1 × (1/8)^2

= 0. 2 × 1/64

= 0. 2 × 0. 016

= 0. 0031

4a. (1/2)^2/ (5/8)^1

= \frac{\frac{1}{4} }{\frac{5}{8} }

Take the inverse of the denominator

= \frac{1}{4} × \frac{8}{5}

= 2/5

4b. 7^2 - 0. 5^3

= 49 - 0. 125

= 48. 875

5a. 3^1 - 0. 8 ^2

= 3 - 0. 64

= 2. 36

5b. 0. 7^2 + 0. 9^1

= 0. 49 + 0. 9

= 1. 39

Learn more about index notation here:

brainly.com/question/10339517

#SPJ1

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Step-by-step explanation:

Data given and notation

n=98 represent the random sample taken

X=74 represent the number of cases correct

\hat p=\frac{74}{98}=0.755 estimated proportion of successes

p_o=0.8 is the value that we want to test

\alpha=0.05 represent the significance level

Confidence=95% or 0.95

z would represent the statistic (variable of interest)

p_v represent the p value (variable of interest)  

Concepts and formulas to use  

We need to conduct a hypothesis in order to test the claim that the true proportion of successes is less than 0.8.:  

Null hypothesis:p\geq 0.8  

Alternative hypothesis:p < 0.8  

When we conduct a proportion test we need to use the z statisitc, and the is given by:  

z=\frac{\hat p -p_o}{\sqrt{\frac{p_o (1-p_o)}{n}}} (1)  

The One-Sample Proportion Test is used to assess whether a population proportion \hat p is significantly different from a hypothesized value p_o.

Calculate the statistic  

Since we have all the info requires we can replace in formula (1) like this:  

z=\frac{0.755 -0.8}{\sqrt{\frac{0.8(1-0.8)}{98}}}=-1.114  

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The significance level provided \alpha=0.05. The next step would be calculate the p value for this test.  

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