Reported weights ending in either a 0 or a 5 is 27
Reported weights ending in 1, 2, 3, 4, 6, 7, 8, or 9 is 26
Let P: proportion of all weights should end in either a 0 or a 5
Ho: P=0.2
Ho: P?0.2
Observed (1) | Expected (2) | O - E (3) = (1) - (2) | (O - E)² / E (4)= (3)2 / (2) |
27 | 10.6 | 16.4 | 25.374 |
26 | 42.4 | -16.4 | 6.343 |
53 | 53 | 0 | 31.717 |
chi-square = 31.717 | |||
df = 1 | |||
p-value = 0 |
Critical chi square with df=1 is 3.841
chi square 31.717 which is > 3.841. Ho is rejected
weights are rounded to the nearest pound end in either a 0 or a 5
19.12 In Chapter 1, Table 1.1 lists the weights of 53 male statistics students. Although students...
The weights in pounds of a set of male students are described as follows: Weight Frequency 130 2 138 1 145 3 150 6 152 1 155 3 160 1 164 1 165 3 167 4 170 3 172 2 175 1 Generate a scaled frequency bar chart of the data. From your chart, read off the scaled frequency for 130 pounds.
Consider the compressive strength data 6-2. What propotion of thespecimens exhibit compressive strength of at least 1379 KN/m^2? ■ TABLE 62 Compressive Strength (in psi) of 80 Aluminum-Lithium Alloy Specimens 105 97 245 163 207 134 218 199 160 196 221 154 228 131 180 178 157 151 175 201 183 153 174 154 190 76 101 142 149 200 186 174 199 115 193 167 121 120 181 160 194 184 165 145 160 150 181 168 158 208...
Show all work Question 4 3 pts In Table 2.11, What is the relative frequency for the males? (Enter as a decimal rounded to two decimal places) TABLE 2.10 Nurse Sick Nurse Sick Nurse Sick Number Days Number Days Number Days 15 10 8 17 12 13 19 20 21 7 TABLE 2.11 App Numb. Gender Ws Wp Numb. Gender Ws Wp 165 167 m 215 210 17 190 186 App 16 18 m m 220 225 f 135 137...
Population 1 Female weights Population 2 male weights 128 190 142 145 130 150 133 127 195 165 166 155 112 155 180 180 180 156 155 188 144 220 140 154 143 200 110 210 160 270 125 250 130 180 150 250 145 240 180 170 175 150 108 155 200 195 151 210 170 155 141 165 200 145 185 190 142 234 125 205 130 151 240 153 160 172 120 200 210 130 220 210...
%201%20-%20Frequency%20Distributions%20&%20H.stograms%20Tables.pdf TABLE 2.10 Nurse Sick Nurse Sick Nurse Sick Number Days Number Days Number Days 8 17 18 3 19 7 20 12 14 TABLE 2.11 App App. Numb. Gender Ws Wp Numb. Gender Ws Wp 165 167 16 m 220 225 f 135 137 f 180 201 m 210 205 f 145 144 f131 133 m 177 180 m 135 135 m 183 180 m 165 166 m 215 210 17 m 190 186 f 115 111 19 m...
4 pts Question 2 What is the relative frequency of nurses using at least 4 but no more than 6 sick days? (Enter as a decimal rounded to two decimal places) Window Help abi-FX @ Course c x|囚Ausif Ma × Expedia × 目Untitled × 01%20-%20Frequency%20Distributions%20&%20Histograms%20 Tables.pdf | expe。 TABLE 2.10 Nurse Sick Nurse Sick Nurse Sick Number Days Numher Days Number Days 10 6 18 12 4 13 7 20 TABLE 2.11 App. App Numb. Gender Ws Wp Numb. Gender...
Show work and explain please %20.%20Frequency%20Distributions%20&%20Histograms%20Tables.pdf TABLE 2.10 Nurse Sick Nurse Sick Nurse Sick Number Days Number Days Number Days 9 8 16 I1 12 13 14 18 21 TABLE 2.11 App Numb. Gender Ws Wp Numb. Gender Ws Wp m 220 225 f 135 137 f 180 201 m 210 205 f 145 144 f 131 133 m 177 180 m 135 135 m 183 180 m 165 166 f 160 166 m 178 180 m 155 152 155...
Maintaining a healthy weight is important for women’s health. Some physicians recommend being back to your pre-pregnancy weight six months after giving birth. Public health officials are interested in whether this is a realistic goal. Do the women in North Carolina weigh more than their pre-pregnancy weight six months postpartum? In other words, is the six months post-pregnancy weight greater than their pre-pregnancy weight? Use a paired samples t-test to compare pst6wght (variable 1) and prewght (variable 2). This uses...
I need help with my applied managerial statistics project Do a descriptive analysis(calculate mean, mode ,range ,variance ,std ,deviation etc ) on each of the four variables sales ,calls, time, years and plot a histogram (using Excel)for each of the four variables. B Sales (Y) 37 38 40 117 45 43 34 37 137 138 44 45 37 38 43 46 45 Calls (X1) Time (X2) Years (X3) 117 14.8 117 15.3 15.6 117 15.8 120 18.2 120 13.6 131...
Sample A SUBJ WTPRE WTPST Sa SEX WTLOSS var 1 165 160 M -5 2 202 200 M -2 3 256 259 M 3 4 155 156 M 1 5 175 162 M -13 6 180 187 M 7 174 172 M -2 8 136 138 M 2 9 168 162 M -6 10 155 155 M 0 11 220 205 M - 15 12 163 153 M -10 13 159 150 M -9 14 253 255 F 15 138...