Question
In: Math
The data set contains the weight (grams) of 10 mice before and after the treatment. Weight...
The data set contains the weight (grams) of 10 mice before and after the treatment. Weight of the mice before treatment before:
(200.1, 190.9, 192.7, 213, 241.4, 196.9, 172.2, 185.5, 205.2, 193.7)
Weight of the mice after treatment after:
(392.9, 393.2, 345.1, 393, 434, 427.9, 422, 383.9, 392.3, 352.2)
Is there enough evidence in the data that the treatment increases the weight population average weight by at least 150 grams?
Please answer with R programming code. Thanks!
Solutions
milcah answered 3 months agoRelated Solutions
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...
The cigarette data set (partially given below) presents data on tar, nicotine, weight (in grams) and...
The cigarette data set (partially given below) presents data on
tar, nicotine, weight (in grams) and carbon monoxide contents (in
milligrams) for a sample of 25 (filter) brands of cigarettes tested
in a recent year.
Tar (x1)
Nicotine (x2)
Weight (x3)
Carbon Monoxide (y)
14.1
0.86
0.9853
13.6
.
.
.
.
.
.
.
.
12.0
0.82
1.1184
14.9
Question 1
Answer the following for the variables Carbon
Monoxide (response variable) and
Tar(predictor variable).
a. Fit the regression line....
1.) The file cats.csv contains a data set consisting of the body weight (in kilograms) and...
1.) The file cats.csv contains a data set consisting of the body
weight (in kilograms) and heart weight (in grams) for 12 cats. Give
the estimated regression line using the body weight as the
predictor variable (x-variable) and the heart weight as the
response variable (y-variable). Also, provide interpretations in
terms of the problem for the slope and the y-intercept.
2.) The file cats.csv contains a data set consisting of the body
weight (in kilograms) and heart weight (in grams)...
1.) The file cats.csv contains a data set consisting of the body weight (in kilograms) and...
1.) The file cats.csv contains a data set consisting of the body
weight (in kilograms) and heart weight (in grams) for 12 cats. Test
at the 5% significance level that a positive linear relationship
exists between the body weight of cat and their mean heart weight.
Provides all parts of the test including hypotheses, test
statistic, p-value, decision, and interpretation.
2.) The file cats.csv contains a data set consisting of the body
weight (in kilograms) and heart weight (in grams)...
The data set contains 86 domestic beer brands with the percent alcohol, carbohydrates (in grams), and...
The data set contains 86 domestic beer brands with the percent
alcohol, carbohydrates (in grams), and calories per 12 ounces.
Round answers to 4 decimal places.
Simple linear regression results:
Dependent Variable: Calories
Independent Variable: Carbohydrates
Calories = 82.659903 + 5.2765795 Carbohydrates
Sample size: 86
R (correlation coefficient) = 0.80319062
R-sq = 0.64511518
Estimate of error standard deviation: 16.6542
Parameter estimates:
Parameter
Estimate
Std. Err.
Alternative
DF
T-Stat
P-value
Intercept
82.659903
5.0556247
≠ 0
84
16.350087
<0.0001
Slope
5.2765795
0.42700988...
This data set presents 17 paired data corresponding to the weights of girls before and after...
This data set presents 17 paired data corresponding to the
weights of girls before and after treatment for anorexia.
Prior
Post
83.8
95.2
83.3
94.3
86.0
91.5
82.5
91.9
86.7
100.3
79.6
76.7
76.9
76.8
94.2
101.6
73.4
94.9
80.5
75.2
81.6
77.8
82.1
95.5
77.6
90.7
83.5
92.5
89.9
93.8
86.0
91.7
87.3
98.0
a. What is the appropriate t-test?
b. What are the dependent and independent variables?
c. State the null and alternative hypothesis.
d. For α =.05,...
The Excel file Burglaries contains data on the number of burglaries before and after a Citizen...
The Excel file Burglaries contains data on the number of
burglaries before and after a Citizen Police program. Apply the
Descriptive Statistics tool to these data. Does Chebyshev’s theorem
hold for the number of monthly burglaries before and after the
citizen-police program?
Data :
Before Citizen-Police Program
Month
Monthly burglaries
1
60
2
44
3
37
4
54
5
59
6
69
7
108
8
89
9
82
10
61
11
47
12
72
13
87
14
60
15
64...
The following data represents females' weights before and after pregnancy. Weight Before Pregnancy, 114, 107, 123,...
The following data represents females' weights before and after
pregnancy.
Weight Before Pregnancy, 114, 107, 123, 118, 136, 119, 127, 123,
129, 134, 134, 131, 132, 124, 134, 112, 122, 114, 109, 114, 116,
133, 129, 127, 128, 122, 134, 121, 122, 118, 126, 120, 118, 131,
124, 108, 127, 127, 129, 136
Weight After Pregnancy, 168, 161, 166, 157, 158, 166, 156, 157,
154, 153, 159, 158, 155, 164, 166, 157, 161, 166, 162, 148, 158,
165, 164, 159,...
psychological test before and after treatment in order to determine the effectiveness of the treatment. Researchers...
psychological test before and after treatment in order to
determine the effectiveness of the treatment. Researchers hope to
find a difference in test scores before and after treatment. A 95%
CI for the population average difference in test scores
(before-after) is given by (0.25, 3.75), which was computed based
on a random sample of 36 patients.
a) What is the population parameter of interest? mu1?
mu2? mud?
b) Based on the confidence interval, at a 5%
significance level, would 0...
Assume that Data Set A depicts the scores of 10 subjects who received either Treatment 1 or Treatment 2.
Assume that Data Set A depicts the scores of 10 subjects who received either Treatment 1 or Treatment 2. Calculate a t-test for independent means to determine whether the means are significantly different from each other. In your complete answer, remember to include your t-statistic, critical value, and your decision about whether to reject the null hypothesis. For this question, you should assume that different participants received the two different treatments.
Data Set A
Treatment 1
Treatment 2
45...
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