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aleksandrvk [35]
3 years ago
5

Eric is studying people's typing habits. He surveyed 525 people and asked whether they leave one space or two spaces after a per

iod when typing. 440 people responded that they leave one space. Create a 90% confidence interval for the proportion of people who leave one space after a period. Round your results to four decimal places.
Mathematics
1 answer:
Otrada [13]3 years ago
3 0

Answer: (0.8115, 0.8645)

Step-by-step explanation:

Let p be the proportion of people who leave one space after a period.

Given:  Sample size : n= 525

Number of people responded that they leave one space. =440

i.e. sample proportion: \hat{p}=\dfrac{440}{525}\approx0.838

z-score for 90% confidence level : 1.645

Formula to find the confidence interval :

\hat{p}\pm z^*\sqrt{\dfrac{\hat{p}(1-\hat{p})}{n}}

0.838\pm (1.645)\sqrt{\dfrac{0.838(1-0.838)}{525}}\\\\=0.838\pm (1.645)\sqrt{0.00025858285}\\\\=0.838\pm (1.645)(0.01608)\\\\= 0.838\pm0.0265\\\\=(0.838-0.0265,\ 0.838+0.0265)\\\\=(0.8115,\ 0.8645)

Hence, a 90% confidence interval for the proportion of people who leave one space after a period: (0.8115, 0.8645)

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mihalych1998 [28]

Answer:

The length of each edge of the cube is 3 mm

Step-by-step explanation:

A cube has a volume of 27 mm.

<u>Volume of cube = l³</u>

l³ = 27 mm

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2 years ago
Use the given values of n an p to find the minimum usual value mean - 2standard deviations and the maximum usual value. N= 1056,
SCORPION-xisa [38]

Answer:

The minimum usual value: 818.803

The maximum usual value: 870.797

The population mean: 844.8

The standard deviation: 12.9985

Step-by-step explanation:

The parameters provided for the Binomial Distribution are:

                                         n=1056, p=0.80

The population mean can be computed as:

                                               μ = n ⋅ p

                                                  = 1056 × 0.80 = 844.8

The population variance is obtained by:

                                                 σ² = n ⋅ p ⋅ (1 − p)

                                                     = 1056 × 0.80 × 0.2 = 168.96

The standard deviation can be computed by taking the squared root of the variance:

                σ = \sqrt{n.p.(1-p)}

                   = \sqrt{168.96}

                   = 12.9985

The minimum usual value: μ - 2σ = 844.8 - 2(12.9985)

                                                       = 844.8 - 25.997

                                                        = 818.803

The maximum usual value: μ + 2σ = 844.8 + 2(12.9985)

                                                         = 844.8 + 25.997

                                                          = 870.797

<em>Keywords: minimum and maximum usual value, standard deviation, mean</em>

<em> Learn more about the minimum and maximum usual value from brainly.com/question/13698405</em>

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Answer:

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Step-by-step explanation:

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