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Anna [14]
3 years ago
12

A random sample of 300 CitiBank VISA cardholder accounts indicated a sample mean debt of 1,220 with a sample standard deviation

of 840. Construct a 95 percent confidence interval estimate of the average debt of all cardholders.
Mathematics
1 answer:
pentagon [3]3 years ago
4 0

Answer: (1124.5619, 1315.4381)

Step-by-step explanation:

The confidence interval for population mean(\mu) when populatin standard deviation is unknown :-

\overline{x}\pm t^*\dfrac{s}{\sqrt{n}}

, where \overline{x} = Sample mean

s =Sample standard deviation

t* = Critical t-value.

Given : n= 300

Degree of freedom : df = n-1 = 299

\overline{x}=1220

s=840

Confidence interval = 95%

Significance level : \alpha=1-0.95=0.05

Using t-distribution table ,

The critical value for 95% Confidence interval for significance level 0.05 and df = 299 : t^*=t_{\alpha/2,\ df}=t_{0.025,\ 299}=1.9679

Then, a 95% confidence interval estimate of the average debt of all cardholders will be :-

1220\pm (1.9679)\dfrac{840}{\sqrt{300}}

=1220\pm (1.9679)\dfrac{840}{17.3205080757}

=1220\pm (1.9679)(48.4974226119)

\approx1220\pm 95.4381=(1220-95.438,\ 1220+95.438)\\\\=(1124.5619,\ 1315.4381)

Hence, a 95% confidence interval estimate of the average debt of all cardholders is (1124.5619, 1315.4381) .

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A group of high school athletes has an average GPA of 2.7 with a standard deviation of 0.9. a)Find the percentage of athletes wh
mart [117]

Answer:

a) The percentage of athletes whose GPA more than 1.665 is 87.49%.

b) John's GPA is 3.645.

Step-by-step explanation:

In a set with mean \mu and standard deviation \sigma, the zscore of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

In this problem, we have that:

\mu = 2.7, \sigma = 0.9

a)Find the percentage of athletes whose GPA more than 1.665.

This is 1 subtracted by the pvalue of Z when X = 1.665. So

Z = \frac{X - \mu}{\sigma}

Z = \frac{1.665 - 2.7}{0.9}

Z = -1.15

Z = -1.15 has a pvalue of 0.1251

1 - 0.1251 = 0.8749

The percentage of athletes whose GPA more than 1.665 is 87.49%.

b) John's GPA is more than 85.31 percent of the athletes in the study. Compute his GPA.

His GPA is X when Z has a pvalue of 0.8531. So it is X when Z = 1.05.

Z = \frac{X - \mu}{\sigma}

1.05 = \frac{X - 2.7}{0.9}

X - 2.7 = 1.05*0.9

X = 3.645

John's GPA is 3.645.

8 0
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