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mars1129 [50]
3 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]3 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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Answer:

549

Step-by-step explanation:

<u>G</u><u>iven </u><u>:</u><u>-</u><u> </u>

  • A sequence 4 , 9 , 14 , ...

And we need to find out the 110th term . the given sequence is in Arithmetic progression . So the common difference is 9 -4 = 5 . Now using the formula to find out the nth term of AP ,

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:\implies T_n = a + ( n -1)d

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3 years ago
The sampling distribution used when making inferences about a single population variance is?
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We use the chi-square distribution when making inferences about a single population variance.

Short Description of Chi-Square Distribution

The continuous probability distribution known as the chi-square distribution. The number of degrees of freedom (k) a chi-square distribution has determines its shape. This type of sampling distribution has a variance of 2k and a mean equal to its number of degrees of freedom (k). The range is of a chi-square distribution is from 0 to ∞.

Variance plays a key role in the analysis of risk and uncertainty. The sample variance, an unbiased estimator of population variance, is expressed by the following formula of core statistic for a sample size 'n' and Y' as the sample mean:

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The formula, (n-1)S² / σ² has the central chi-square distribution as χ²ₙ₋₁. Here (n-1) represents the degrees of freedom.

Learn more about chi-square distribution here:

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