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mars1129 [50]
4 years ago
15

Cisco wants to purchase three items at the sporting goods store. The items he wants to buy are football pants for $21.99, footba

ll pads for $25.95,and football cleats for $25.49. How much will the three items cost?
Mathematics
1 answer:
Sergeeva-Olga [200]4 years ago
8 0

Answer: \$73.43

Step-by-step explanation:

According to the information provided in the exercise, the prices of each item he wants to purchase in the sporting goods store are:

Football\ pants=\$21.99\\\\ Football\ pads=\$25.95\\\\Football\ cleats=\$25.49

Therefore you need to add these prices to solve this exercise. The sum will be the total cost for these three items.

You get that the sum is:

Total\ cost=\$21.99+\$25.95+\$25.49\\\\Total\ cost=\$73.43

Then, the three items that Cisco wants to purchase will cost $73.43.

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A simple random sample of 28 Lego sets is obtained and the number of pieces in each set was counted.The sample has a standard de
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Step-by-step explanation:

Given that:

A simple random sample n = 28

sample standard deviation S = 12.65

standard deviation \sigma = 11.53

Level of significance ∝ = 0.05

The objective is to test the claim that the number of pieces in a set has a standard deviation different from 11.53.

The null hypothesis and the alternative hypothesis can be computed as follows:

Null hypothesis:

H_0: \sigma^2 = \sigma_0^2

Alternative hypothesis:

H_1: \sigma^2 \neq \sigma_0^2

The test statistics can be determined by using the following formula in order to test if the claim is statistically significant or not.

X_0^2 = \dfrac{(n-1)S^2}{\sigma_0^2}

X_0^2 = \dfrac{(28-1)(12.65)^2}{(11.53)^2}

X_0^2 = \dfrac{(27)(160.0225)}{132.9409}

X_0^2 = \dfrac{4320.6075}{132.9409}

X_0^2 = 32.5002125

X^2_{1- \alpha/2 , df} = X^2_{1- 0.05/2 , n-1}

X^2_{1- \alpha/2 , df} = X^2_{1- 0.025 , 28-1}

From the chi-square probabilities table at 0.975 and degree of freedom 27;

X^2_{0.975 , 27} = 14.573

X^2_{\alpha/2 , df} = X^2_{ 0.05/2 , n-1}

X^2_{\alpha/2 , df} = X^2_{0.025 , 28-1}

From the chi-square probabilities table at 0.975 and degree of freedom 27;

X^2_{0.025 , 27}= 43.195

Decision Rule: To reject the null hypothesis if X^2_0  \ >  \ X^2_{\alpha/2 , df}  \ \  \ or \ \ \   X^2_0 \  < \  X^2_{1- \alpha/2 , df} ; otherwise , do not reject the null hypothesis:

The rejection region is X^2_0  \ >  43.195 \ \  \ or \ \ \   X^2_0 \  < \  14.573

Conclusion:

We fail to reject the null hypothesis since  test statistic value 32.5002125  lies  between 14.573 and 43.195.

6 0
3 years ago
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