A manufacturer of chocolate candies uses machines to package candies as they move along a filling line. Although the packages are labeled as 8 ounces, the company wants the packages to contain a mean of 8.17 ounces so that virtually none of the packages contain less than 8 ounces. A sample of 50 packages is selected periodically, and the packaging process is stopped if there is evidence that the mean amount packaged is different from 8.17 ounces. Suppose that in a particular sample of 50 packages, the mean amount dispensed is 8.155 ounces, with a sample standard deviation of 0.056 ounce. Complete parts (a) and (b). Click here to view page 1 of the critical values for the t Distribution. Click here to view page 2 of the critical values for the t Distribution a. Is there evidence that the population mean amount is different from 8.17 ounces? (Use a 0.01 level of significance.) State the null and alternative hypotheses. Ho: HY H₁: HY (Type integers or decimals.) Identify the critical value(s). The critical value(s) is (are). (Round to four decimal places as needed. Use a comma to separate answers as needed.) Determine the test statistic. The test statistic is (Round to four decimal places as needed.) State the conclusion. Ho. There is evidence to conclude the population mean amount is different from 8.17 ounces

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.3: Measures Of Spread
Problem 1GP
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Critical Values of t. For a particular number of degrees of freedom, entry represents the critical value of t corresponding to the cumulative probability 1 minus alpha and a specified upper-tail area alpha. Cumulative Probabilities 0.75 0.90 0.95 0.975 0.99 0.995 Upper-Tail Areas Degrees of Freedom 0.25 0.10 0.05 0.025 0.01 0.005 1 1.0000 3.0777 6.3138 12.7062 31.8207 63.6574 2 0.8165 1.8856 2.9200 4.3027 6.9646 9.9248 3 0.7649 1.6377 2.3534 3.1824 4.5407 5.8409 4 0.7407 1.5332 2.1318 2.7764 3.7469 4.6041 5 0.7267 1.4759 2.0150 2.5706 3.3649 4.0322 6 0.7176 1.4398 1.9432 2.4469 3.1427 3.7074 7 0.7111 1.4149 1.8946 2.3646 2.9980 3.4995 8 0.7064 1.3968 1.8595 2.3060 2.8965 3.3554 9 0.7027 1.3830 1.8331 2.2622 2.8214 3.2498 10 0.6998 1.3722 1.8125 2.2281 2.7638 3.1693 11 0.6974 1.3634 1.7959 2.2010 2.7181 3.1058 12 0.6955 1.3562 1.7823 2.1788 2.6810 3.0545 13 0.6938 1.3502 1.7709 2.1604 2.6503 3.0123 14 0.6924 1.3450 1.7613 2.1448 2.6245 2.9768 15 0.6912 1.3406 1.7531 2.1315 2.6025 2.9467 16 0.6901 1.3368 1.7459 2.1199 2.5835 2.9208 17 0.6892 1.3334 1.7396 2.1098 2.5669 2.8982 18 0.6884 1.3304 1.7341 2.1009 2.5524 2.8784 19 0.6876 1.3277 1.7291 2.0930 2.5395 2.8609 20 0.6870 1.3253 1.7247 2.0860 2.5280 2.8453 21 0.6864 1.3232 1.7207 2.0796 2.5177 2.8314 22 0.6858 1.3212 1.7171 2.0739 2.5083 2.8188 23 0.6853 1.3195 1.7139 2.0687 2.4999 2.8073 24 0.6848 1.3178 1.7109 2.0639 2.4922 2.7969 25 0.6844 1.3163 1.7081 2.0595 2.4851 2.7874 26 0.6840 1.3150 1.7056 2.0555 2.4786 2.7787 27 0.6837 1.3137 1.7033 2.0518 2.4727 2.7707 28 0.6834 1.3125 1.7011 2.0484 2.4671 2.7633 29 0.6830 1.3114 1.6991 2.0452 2.4620 2.7564 30 0.6828 1.3104 1.6973 2.0423 2.4573 2.7500 31 0.6825 1.3095 1.6955 2.0395 2.4528 2.7440 32 0.6822 1.3086 1.6939 2.0369 2.4487 2.7385 33 0.6820 1.3077 1.6924 2.0345 2.4448 2.7333 34 0.6818 1.3070 1.6909 2.0322 2.4411 2.7284 35 0.6816 1.3062 1.6896 2.0301 2.4377 2.7238 36 0.6814 1.3055 1.6883 2.0281 2.4345 2.7195 37 0.6812 1.3049 1.6871 2.0262 2.4314 2.7154 38 0.6810 1.3042 1.6860 2.0244 2.4286 2.7116 39 0.6808 1.3036 1.6849 2.0227 2.4258 2.7079 40 0.6807 1.3031 1.6839 2.0211 2.4233 2.7045 41 0.6805 1.3025 1.6829 2.0195 2.4208 2.7012 42 0.6804 1.3020 1.6820 2.0181 2.4185 2.6981 43 0.6802 1.3016 1.6811 2.0167 2.4163 2.6951 44 0.6801 1.3011 1.6802 2.0154 2.4141 2.6923 45 0.6800 1.3006 1.6794 2.0141 2.4121 2.6896 46 0.6799 1.3002 1.6787 2.0129 2.4102 2.6870 47 0.6797 1.2998 1.6779 2.0117 2.4083 2.6846 48 0.6796 1.2994 1.6772 2.0106 2.4066 2.6822 Critical Values of t. Cumulative Probabilities 0.75 0.90 0.95 0.975 0.99 0.995 Upper-Tail Areas Degrees of Freedom 0.25 0.10 0.05 0.025 0.01 0.005 49 0.6795 1.2991 1.6766 2.0096 2.4049 2.6800 50 0.6794 1.2987 1.6759 2.0086 2.4033 2.6778 51 0.6793 1.2984 1.6753 2.0076 2.4017 2.6757 52 0.6792 1.2980 1.6747 2.0066 2.4002 2.6737 53 0.6791 1.2977 1.6741 2.0057 2.3988 2.6718 54 0.6791 1.2974 1.6736 2.0049 2.3974 2.6700 55 0.6790 1.2971 1.6730 2.0040 2.3961 2.6682 56 0.6789 1.2969 1.6725 2.0032 2.3948 2.6665 57 0.6788 1.2966 1.6720 2.0025 2.3936 2.6649 58 0.6787 1.2963 1.6716 2.0017 2.3924 2.6633 59 0.6787 1.2961 1.6711 2.0010 2.3912 2.6618 60 0.6786 1.2958 1.6706 2.0003 2.3901 2.6603 61 0.6785 1.2956 1.6702 1.9996 2.3890 2.6589 62 0.6785 1.2954 1.6698 1.9990 2.3880 2.6575 63 0.6784 1.2951 1.6694 1.9983 2.3870 2.6561 64 0.6783 1.2949 1.6690 1.9977 2.3860 2.6549 65 0.6783 1.2947 1.6686 1.9971 2.3851 2.6536 66 0.6782 1.2945 1.6683 1.9966 2.3842 2.6524 67 0.6782 1.2943 1.6679 1.9960 2.3833 2.6512 68 0.6781 1.2941 1.6676 1.9955 2.3824 2.6501 69 0.6781 1.2939 1.6672 1.9949 2.3816 2.6490 70 0.6780 1.2938 1.6669 1.9944 2.3808 2.6479 71 0.6780 1.2936 1.6666 1.9939 2.3800 2.6469 72 0.6779 1.2934 1.6663 1.9935 2.3793 2.6459 73 0.6779 1.2933 1.6660 1.9930 2.3785 2.6449 74 0.6778 1.2931 1.6657 1.9925 2.3778 2.6439 75 0.6778 1.2929 1.6654 1.9921 2.3771 2.6430 76 0.6777 1.2928 1.6652 1.9917 2.3764 2.6421 77 0.6777 1.2926 1.6649 1.9913 2.3758 2.6412 78 0.6776 1.2925 1.6646 1.9908 2.3751 2.6403 79 0.6776 1.2924 1.6644 1.9905 2.3745 2.6395 80 0.6776 1.2922 1.6641 1.9901 2.3739 2.6387 81 0.6775 1.2921 1.6639 1.9897 2.3733 2.6379 82 0.6775 1.2920 1.6636 1.9893 2.3727 2.6371 83 0.6775 1.2918 1.6634 1.9890 2.3721 2.6364 84 0.6774 1.2917 1.6632 1.9886 2.3716 2.6356 85 0.6774 1.2916 1.6630 1.9883 2.3710 2.6349 86 0.6774 1.2915 1.6628 1.9879 2.3705 2.6342 87 0.6773 1.2914 1.6626 1.9876 2.3700 2.6335 88 0.6773 1.2912 1.6624 1.9873 2.3695 2.6329 89 0.6773 1.2911 1.6622 1.9870 2.3690 2.6322 90 0.6772 1.2910 1.6620 1.9867 2.3685 2.6316 91 0.6772 1.2909 1.6618 1.9864 2.3680 2.6309 92 0.6772 1.2908 1.6616 1.9861 2.3676 2.6303 93 0.6771 1.2907 1.6614 1.9858 2.3671 2.6297 94 0.6771 1.2906 1.6612 1.9855 2.3667 2.6291 95 0.6771 1.2905 1.6611 1.9853 2.3662 2.6286 96 0.6771 1.2904 1.6609 1.9850 2.3658 2.6280 97 0.6770 1.2903 1.6607 1.9847 2.3654 2.6275 98 0.6770 1.2902 1.6606 1.9845 2.3650 2.6269 99 0.6770 1.2902 1.6604 1.9842 2.3646 2.6264 100 0.6770 1.2901 1.6602 1.9840 2.3642 2.6259 110 0.6767 1.2893 1.6588 1.9818 2.3607 2.6213 120 0.6765 1.2886 1.6577 1.9799 2.3578 2.6174 infinity 0.6745 1.2816 1.6449 1.9600 2.3263 2.5758
A manufacturer of chocolate candies uses machines to package candies as they move along a filling line. Although the packages are labeled as 8
ounces, the company wants the packages to contain a mean of 8.17 ounces so that virtually none of the packages contain less than 8 ounces. A sample
of 50 packages is selected periodically, and the packaging process is stopped if there is evidence that the mean amount packaged is different from 8.17
ounces. Suppose that in a particular sample of 50 packages, the mean amount dispensed is 8.155 ounces, with a sample standard deviation of 0.056
ounce. Complete parts (a) and (b).
Click here to view page 1 of the critical values for the t Distribution.
Click here to view page 2 of the critical values for the t Distribution
a. Is there evidence that the population mean amount is different from 8.17 ounces? (Use a 0.01 level of significance.)
State the null and alternative hypotheses.
Hoi H
H₁: H
▼
(Type integers or decimals.)
...
Identify the critical value(s).
The critical value(s) is (are).
(Round to four decimal places as needed. Use a comma to separate answers as needed.)
Determine the test statistic.
The test statistic is
(Round to four decimal places as needed.)
State the conclusion.
Ho. There is
evidence to conclude the population mean amount is different from 8.17 ounces.
Transcribed Image Text:A manufacturer of chocolate candies uses machines to package candies as they move along a filling line. Although the packages are labeled as 8 ounces, the company wants the packages to contain a mean of 8.17 ounces so that virtually none of the packages contain less than 8 ounces. A sample of 50 packages is selected periodically, and the packaging process is stopped if there is evidence that the mean amount packaged is different from 8.17 ounces. Suppose that in a particular sample of 50 packages, the mean amount dispensed is 8.155 ounces, with a sample standard deviation of 0.056 ounce. Complete parts (a) and (b). Click here to view page 1 of the critical values for the t Distribution. Click here to view page 2 of the critical values for the t Distribution a. Is there evidence that the population mean amount is different from 8.17 ounces? (Use a 0.01 level of significance.) State the null and alternative hypotheses. Hoi H H₁: H ▼ (Type integers or decimals.) ... Identify the critical value(s). The critical value(s) is (are). (Round to four decimal places as needed. Use a comma to separate answers as needed.) Determine the test statistic. The test statistic is (Round to four decimal places as needed.) State the conclusion. Ho. There is evidence to conclude the population mean amount is different from 8.17 ounces.
A manufacturer of chocolate candies uses machines to package candies as they move along a filling line. Although the packages are labeled as 8
ounces, the company wants the packages to contain a mean of 8.17 ounces so that virtually none of the packages contain less than 8 ounces. A sample
of 50 packages is selected periodically, and the packaging process is stopped if there is evidence that the mean amount packaged is different from 8.17
ounces. Suppose that in a particular sample of 50 packages, the mean amount dispensed is 8.155 ounces, with a sample standard deviation of 0.056
ounce. Complete parts (a) and (b).
Click here to view page 1 of the critical values for the t Distribution.
Click here to view page 2 of the critical values for the t Distribution
(Kouna to Tour decimal places as needea.)
State the conclusion.
evidence to conclude the population mean amount is different from 8.17 outices.
Ho. There is
b. Determine the p-value and interpret its meaning.
The p-value is.
(Round to four decimal places as needed.)
Interpret the meaning of the p-value. Choose the correct answer below.
OA. The p-value is the probability of obtaining a sample mean that is equal to or more extreme than 0.015 ounce above 8.17 if the null hypothesis is
false.
OB. The p-value is the probability of obtaining a sample mean that is equal to or more extreme than 0.015 ounce away from 8.17 if the null
hypothesis is true.
OC. The p-value is the probability of obtaining a sample mean that is equal to or more extreme than 0.015 ounce below 8.17 if the null hypothesis is
false.
D. The p-value is the probability of not rejecting the null hypothesis when it is false.
Transcribed Image Text:A manufacturer of chocolate candies uses machines to package candies as they move along a filling line. Although the packages are labeled as 8 ounces, the company wants the packages to contain a mean of 8.17 ounces so that virtually none of the packages contain less than 8 ounces. A sample of 50 packages is selected periodically, and the packaging process is stopped if there is evidence that the mean amount packaged is different from 8.17 ounces. Suppose that in a particular sample of 50 packages, the mean amount dispensed is 8.155 ounces, with a sample standard deviation of 0.056 ounce. Complete parts (a) and (b). Click here to view page 1 of the critical values for the t Distribution. Click here to view page 2 of the critical values for the t Distribution (Kouna to Tour decimal places as needea.) State the conclusion. evidence to conclude the population mean amount is different from 8.17 outices. Ho. There is b. Determine the p-value and interpret its meaning. The p-value is. (Round to four decimal places as needed.) Interpret the meaning of the p-value. Choose the correct answer below. OA. The p-value is the probability of obtaining a sample mean that is equal to or more extreme than 0.015 ounce above 8.17 if the null hypothesis is false. OB. The p-value is the probability of obtaining a sample mean that is equal to or more extreme than 0.015 ounce away from 8.17 if the null hypothesis is true. OC. The p-value is the probability of obtaining a sample mean that is equal to or more extreme than 0.015 ounce below 8.17 if the null hypothesis is false. D. The p-value is the probability of not rejecting the null hypothesis when it is false.
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