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bogdanovich [222]
3 years ago
14

Previous Question Question 14 of 20 Next Question A company randomly surveys 15 VIP customers and records their customer satisfa

ction scores out of a possible 100 points. Based on the data provided, calculate a 90% confidence interval to estimate the true satisfaction score of all VIP customers.
Mathematics
1 answer:
Ann [662]3 years ago
6 0

Answer:

71.4699, 81.7301.

Step-by-step explanation:

So, the following are the scores: 74

90

84

78

61

65

62

67

73

75

76

95

71

98

80

Let,\;the\;total\;sum\;of\;the\;scores\;be:\sum x =1149

Then,\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\sum x^2=89795

The length of the score : 15

Then, let the size of the scores be n : 15.

Then, we have to find the mean.

                                      \bar{x}=\frac{\sum x}{n}

                                         =\frac{1149}{15}=76.6

Then,\;we\;have\;to\;find\;standard\;deviation:S=\sqrt{\frac{\sum x^2-n.(\bar{x})^2}{n-1} }

                                         =\sqrt{\frac{89795-15\times(76.6)^2}{15-1} }=11.2808

The\;degree\;of\;freedom:n-1=14

So,\;the\;significant\;level:\alpha=1-0.90=0.10

and\;the\;critical\;value:t_{\frac{\alpha}{2} }=1.7613

Finally:\\=\bar{x}\;\pm\;t_{\frac{\alpha}{2} }\;\frac{S}{\sqrt{n} }\\=(71.4699, 81.7301)

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A sample of 50 drills had a mean lifetime of 12.17 holes drilled when drilling a low-carbon steel. Assume the population standar
zmey [24]

Using the z-distribution, it is found that the 95% confidence interval for the mean lifetime of this type of drill, in holes drilled, is (10.4, 13.94).

We are given the <u>standard deviation for the population</u>, hence, the z-distribution is used. The parameters for the interval is:

  • Sample mean of \overline{x} = 12.17
  • Population standard deviation of \sigma = 6.37
  • Sample size of n = 50.

The margin of error is:

M = z\frac{\sigma}{\sqrt{n}}

In which z is the critical value.

We have to find the critical value, which is z with a p-value of \frac{1 + \alpha}{2}, in which \alpha is the confidence level.

In this problem, \alpha = 0.95, thus, z with a p-value of \frac{1 + 0.95}{2} = 0.975, which means that it is z = 1.96.

Then:

M = 1.96\frac{6.37}{\sqrt{50}} = 1.77

The confidence interval is the <u>sample mean plus/minutes the margin of error</u>, hence:

\overline{x} - M = 12.17 - 1.77 = 10.4

\overline{x} + M = 12.17 + 1.77 = 13.94

The 95% confidence interval for the mean lifetime of this type of drill, in holes drilled, is (10.4, 13.94).

A similar problem is given at brainly.com/question/22596713

6 0
3 years ago
Tiffany kicks a soccer ball off the ground and in the air, with an initial velocity of 28 feet per second. Using the formula H(t
Sedaia [141]

Answer:

The maximum height of soccer ball  is 12.25 ft.

Step-by-step explanation:

It is given that Tiffany kicks a soccer ball off the ground and in the air, with an initial velocity of 28 feet per second. It means v = 28 ft.

Given formula is

H(t)=-16t^2+vt+s

The initial height of ball is 0.

H(0)=-16(0)^2+v(0)+s

0=s

The height of ball defined by the function

H(t)=-16t^2+(28)t+0

H(t)=-16t^2+28t

It is a downward parabola and the vertex of a downward parabola is the point of maxima.

The vertex of a parabola f(x)=ax^2+bx+c is

(\frac{-b}{2a},f(\frac{-b}{2a}))

\frac{-b}{2a}=\frac{-28}{2(-16)}=0.875

H(0.875)=-16(0.875)^2+28(0.875)=12.25

Therefore the maximum height of soccer ball  is 12.25 ft.

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Answer:

its A

Step-by-step explanation:

Trust me

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