Refer to the accompanying data set and construct a 95 % confidence interval estimate of the mean pulse rate of adult females; then do the same for adult males. Compare the results. Construct a 95 % confidence interval of the mean pulse rate for adult females. nothing bpmless than muless thannothing bpm (Round to one decimal place as needed.) Construct a 95 % confidence interval of the mean pulse rate for adult males. nothing bpmless than muless thannothing bpm (Round to one decimal place as needed.) Compare the results. A. The confidence intervals overlap, so it appears that there is no significant difference in mean pulse rates between adult females and adult males. B. The confidence intervals overlap, so it appears that adult males have a significantly higher mean pulse rate than adult females. C. The confidence intervals do not overlap, so it appears that there is no significant difference in mean pulse rates between adult females and adult males. D. The confidence intervals do not overlap, so it appears that adult females have a significantly higher mean pulse rate than adult males. Males Females 84 82 75 92 53 56 59 64 49 57 59 84 51 79 73 86 51 87 60 59 71 39 62 67 64 86 80 74 79 76 67 63 66 63 94 76 45 58 87 62 73 86 61 83 71 72 71 72 57 85 67 87 58 85 79 88 71 92 61 96 64 70 99 89 60 79 68 80 57 77 59 56 69 103 70 77 84 77 57 74
Correlation
Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.
Linear Correlation
A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.
Regression Analysis
Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.
Refer to the accompanying data set and construct a
95
%
confidence
Construct a
95
%
confidence interval of the mean pulse rate for adult females.
nothing
bpmless than
muless thannothing
bpm
(Round to one decimal place as needed.)
Construct a
95
%
confidence interval of the mean pulse rate for adult males.
nothing
bpmless than
muless thannothing
bpm
(Round to one decimal place as needed.)
Compare the results.
A.
The confidence intervals overlap, so it appears that there is no significant difference in mean pulse rates between adult females and adult males.
B.
The confidence intervals overlap, so it appears that adult males have a significantly higher mean pulse rate than adult females.
C.
The confidence intervals do not overlap, so it appears that there is no significant difference in mean pulse rates between adult females and adult males.
D.
The confidence intervals do not overlap, so it appears that adult females have a significantly higher mean pulse rate than adult males.
Males Females
84 82
75 92
53 56
59 64
49 57
59 84
51 79
73 86
51 87
60 59
71 39
62 67
64 86
80 74
79 76
67 63
66 63
94 76
45 58
87 62
73 86
61 83
71 72
71 72
57 85
67 87
58 85
79 88
71 92
61 96
64 70
99 89
60 79
68 80
57 77
59 56
69 103
70 77
84 77
57 74
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