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anyanavicka
2 months ago
14

A Washington, D.C., "think tank" announces the typical teenager sent 67 text messages per day in 2017. To update that estimate,

you phone a sample of 12 teenagers and ask them how many text messages they sent the previous day. Their responses were:
51 175 47 49 44 54 145 203 21 59 42 100

(a) state the decision rule for 0.05 significance level (round to 3 decimal places)
(b) Compute the value of the test statistic (round to 3 decimal places)
Mathematics
1 answer:
PIT_PIT [12.4K]2 months ago
5 0

Answer:

We reject the null hypothesis, leading us to revise the estimate that a typical teenager sends 67 text messages each day.

Step-by-step explanation:

The sample provided is:

51, 175, 47, 49, 44, 54, 145, 203, 21, 59, 42, 100

Formula:

\text{Standard Deviation} = \sqrt{\displaystyle\frac{\sum (x_i -\bar{x})^2}{n-1}}

where x_i represents the data points, \bar{x} denotes the mean, and n indicates the number of observations.

Mean = \displaystyle\frac{\text{Sum of all observations}}{\text{Total number of observation}}

Mean =\displaystyle\frac{990}{12} = 82.5

The sum of squares of differences equals 992.25 + 8556.25 + 1260.25 + 1122.25 + 1482.25 + 812.25 + 3906.25 + 14520.25 + 3782.25 + 552.25 + 1640.25 + 306.25 = 3539.363636

S.D = \sqrt{\frac{3539.363636}{11}} = 59.5

The following information is provided in the question:

Population mean, μ = 67

Sample mean, \bar{x} = 82.5

Sample size, n = 12

Alpha, α = 0.05

Sample standard deviation, s = 59.5

Initially, we formulate the null and alternate hypothesis

H_{0}: \mu = 67\\H_A: \mu > 67

We apply the One-tailed t test for this hypothesis testing.

b) Formula:

t_{stat} = \displaystyle\frac{\bar{x} - \mu}{\frac{s}{\sqrt{n-1}} }

Substituting all the values gives us

t_{stat} = \displaystyle\frac{82.5 - 67}{\frac{59.5}{\sqrt{11}} } = 0.864 Now,

t_{critical} \text{ at 0.05 level of significance, 11 degree of freedom } = 1.795

a) As such,

t_{stat} < t_{critical}

We discard the null hypothesis and adjust the estimate, concluding that teenagers send more than 67 text messages daily.

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