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goldenfox [79]
2 years ago
11

10 x 3 tens - unit form and standard form

Mathematics
2 answers:
Marta_Voda [28]2 years ago
8 0

unit form and standard form

Standard form is writing the numbers . for example 34

Unit form is writing the place value of numbers. For example , the unit form of 34 is 3 tens , 4 ones

10 x 3 tens- unit form and standard form. 3 tens is 30

10 x 30 = 300

The standard form is 300

The unit form is 3 hundreds, 0 tens , 0 ones

vfiekz [6]2 years ago
6 0
<span>10X3 tens in unit form is written:
10*3 tens = 30 tens = 300 units

10X3 tens in standard form:
10 x 3 tens = 10 x 30 = 300</span>
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valentinak56 [21]

Answer:

a. Descriptive statistics for the sample.

n= 9

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median Me= 20.30

min: 19.70

max: 21.40

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Step-by-step explanation:

Hello!

I don't have excel so I cannot install PHstat, I've used a statistic software called Infostat for the calculations.

There was a random sample of 9 bottles of shampoo taken to test if the process is operating correctly. If it is, the bottles should weight on average 20 ounces (this would be our study parameter)

The study variable is X: the weight of a bottle of shampoo.

X~N(μ;σ²)

a.

Descriptive statistics for the sample.

n= 9

mean X[bar]= 20.36

median Me= 20.30

min: 19.70

max: 21.40

standad deviation S= 0.61

b. 95% Confidence interval.

Since the variable has a normal distribution and the population variance is unknown, the statistic to use to construct this interval is the Students t:

X[bar] ± t_{n-1; 1- \alpha /2} * (S/√n)

20.36 ± t_{8; 0.975} * (0.61/√9)

[19.88; 20.83]

c. You have to test the hypothesis that the production is operating correctly, if it is so, then:

H₀: μ = 20

H₁: μ ≠ 20

α: 0.05

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p-value: 0.1198

When you use the p-value to decide on a statistical hypothesis, you should always contrast it with the level of significance using the following rule:

If p-value ≤ α, then you reject the null hypothesis.

If p-value > α, then you do not reject the null hypothesis.

Since the p-value is greater than the significance level, you do not reject the null hypothesis. This means that the average weight of the shampoo bottles is 20 ounces, i.e. the process is operating correctly.

I hope it helps!

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