Question

In: Statistics and Probability

The accompanying table contains data on the​ weight, in​ grams, of a sample of 50 tea...

The accompanying table contains data on the​ weight, in​ grams, of a sample of 50 tea bags produced during an​ eight-hour shift. Complete parts​ (a) through​ (d).

a. Is there evidence that the mean amount of tea per bag is different from 5.5 ​grams? (Use alphaαequals=0.10)

State the null and alternative hypotheses.

Upper H equals

5.55

Upper H ≠5.55

A). Determine the test statistic.

B). Find the p-value.

C). Construct a 90% confidence interval estimate of the population mean amount of tea per bag. Interpret this interval.

The 90% confidence interval is _ <= u <= _

Table:  

5.64
5.43
5.43
5.41
5.55
5.33
5.55
5.43
5.52
5.42
5.58
5.41
5.53
5.52
5.55
5.62
5.55
5.45
5.44
5.49
5.48
5.39
5.47
5.61
5.51
5.33
5.66
5.28
5.48
5.54
5.76
5.59
5.44
5.56
5.59
5.52
5.32
5.48
5.53
5.57
5.62
5.43
5.43
5.26
5.55
5.64
5.49
5.57
5.68
5.35

Solutions

Expert Solution

n=50,   = 5.55, = 0.10

Calculate mean and standard deviation for given data

We get,

= 5.4996, s= 0.105829

Ho: ​​​​​​​ = 5.55

Ha: ≠ 5.55

a)

Calculate the test statistic

t = -3.3675

test statistics =   -3.3675

b)

calculate the p-value using calculaor for two tailed test with

df= n-1 = 50-1 = 49

we get,

P-Value = 0.0015

c)

c= 90%

formula for confidenceinterval is

Where tc is the t critical value for c= 90% with df= n-1 = 50-1 =49

using t table we get

tc = 1.677

5.4745     5.5247

The 90% confidence interval is  5.4745     5.5247


Related Solutions

2. Following is the weight data (in grams) of 25 tea bags samples produced by a...
2. Following is the weight data (in grams) of 25 tea bags samples produced by a machine in 1 hour: 5.65 5.44 5.42 5.40 5.53 | 5.34 5.54 5.45 5.52 5.41 | 5.57 5.40 5.53 5.54 5.55 | 5.62 5.56 5.46 5.44 5.51 | 5.47 5.40 5.47 5.61 5.53 | a. Calculate the average, median, quartile 1 and quartile 3 b. Calculate range, interquartile range, variance, standard deviation, and coefficient of variation. c.Draw the boxplot, give a conclusion
Refer to the data set in the accompanying table. Assume that the paired sample data is...
Refer to the data set in the accompanying table. Assume that the paired sample data is a simple random sample and the differences have a distribution that is approximately normal. Use a significance level of 0.10 to test for a difference between the weights of discarded paper? (in pounds) and weights of discarded plastic? (in pounds). LOADING... Click the icon to view the data. In this? example, mu Subscript d is the mean value of the differences d for the...
Refer to the data set in the accompanying table. Assume that the paired sample data is...
Refer to the data set in the accompanying table. Assume that the paired sample data is a simple random sample and the differences have a distribution that is approximately normal. Use a significance level of 0.100.10 to test for a difference between the weights of discarded paper​ (in pounds) and weights of discarded plastic​ (in pounds). Household   Paper   Plastic 1   6.05   2.73 2   5.86   3.91 3   6.98   2.65 4   16.39   9.70 5   12.73   14.83 6   7.98   6.09 7   15.09   9.11...
Refer to the data set in the accompanying table. Assume that the paired sample data is...
Refer to the data set in the accompanying table. Assume that the paired sample data is a simple random sample and the differences have a distribution that is approximately normal. Use a significance level of 0.10 to test for a difference between the weights of discarded paper​ (in pounds) and weights of discarded plastic​ (in pounds). Household   Paper   Plastic 1   5.86   3.91 2   9.83   6.26 3   9.55   9.20 4   12.43   8.57 5   6.98   2.65 6   11.42   12.81 7   7.57   5.92...
Refer to the data set in the accompanying table. Assume that the paired sample data is...
Refer to the data set in the accompanying table. Assume that the paired sample data is a simple random sample and the differences have a distribution that is approximately normal. Use a significance level of 0.05 to test for a difference between the weights of discarded paper​ (in pounds) and weights of discarded plastic​ (in pounds). In this​ example, μd is the mean value of the differences d for the population of all pairs of​ data, where each individual difference...
The data in the accompanying table represent the heights and weights of a random sample of...
The data in the accompanying table represent the heights and weights of a random sample of professional baseball players. Complete parts ​(a) through ​(c) below. Player   Height_(inches)   Weight_(pounds) Player_1   76   227 Player_2   75   197 Player_3   72   180 Player_4   82   231 Player_5   69   185 Player_6   74   190 Player_7   75   228 Player_8   71   200 Player_9   75   230 (b) Determine the​ least-squares regression line. Test whether there is a linear relation between height and weight at the alphaαequals=0.05 level of significance. Determine the​...
The data in the accompanying table represent the heights and weights of a random sample of...
The data in the accompanying table represent the heights and weights of a random sample of professional baseball players. Complete parts ​(a) through ​(c) below. Player Height​ (inches) Weight​ (pounds) Player 1 75 225 Player 2 75 197 Player 3 72 180 Player 4 82 231 Player 5 69 185 Player 6 7474 190190 Player 7 75 228 Player 8 71 200 Player 9 75 230 (a) Draw a scatter diagram of the​ data, treating height as the explanatory variable...
The data in the accompanying table represent the heights and weights of a random sample of...
The data in the accompanying table represent the heights and weights of a random sample of professional baseball players. Complete parts ​(a) through ​(c) below. Player   Height_(inches)   Weight_(pounds) Player_1   75   227 Player_2   75   195 Player_3   72   180 Player_4   82   231 Player_5   69   185 Player_6   74   190 Player_7   75   228 Player_8   71   200 Player_9   75   230 ​(a) Draw a scatter diagram of the​ data ​(b) Determine the​ least-squares regression line. Test whether there is a linear relation between height and weight...
13. Refer to the data set in the accompanying table. Assume that the paired sample data...
13. Refer to the data set in the accompanying table. Assume that the paired sample data is a simple random sample and the differences have a distribution that is approximately normal. Use a significance level of 0.10 to test for a difference between the number of words spoken in a day by each member of 30 different couples. Couple Male      Female 1              12320    11172 2              2410       1134 3              16390    9702 4              9550       9198 5              11360    10248 6              9450       3024 7             ...
The accompanying data table contains the listed prices and weights of the diamonds in 30 rings...
The accompanying data table contains the listed prices and weights of the diamonds in 30 rings offered for sale in a newspaper. The prices are in​ dollars, with the weights in carats. Formulate the regression model with price as the response and weight as the explanatory variable. Complete parts​ (a) and​ (b) below. Weight (Carat) Price ($) 0.21 540 0.18 444 0.18 430 0.16 350 0.15 330 0.25 667 0.22 526 0.27 723 0.24 655 0.25 640 0.22 605 0.29...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT