Estimate for the mean number of dessert orders

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Reference no: EM133045958

During the past year, Bubba's Burgers introduced a new dessert product into its Canadian market area. The product had already passed all the internal hurdles including focus groups and operational analysis, such as the time it takes to make and equipment constraints. The next step was to see how well the product would be received in the marketplace. In particular, Bubba's Burgers' Vice President for Production, Stephanie Linwood, was interested in estimating the mean number of orders for this dessert per 1,000 customer transactions. A random sample of 142 stores throughout Canada was selected. Store managers tracked the number of dessert orders per 1,000 transactions during a two-week trial period. See the file Bubba's Burgers 

1. Based on these sample data construct and interpret a 95% confidence interval estimate for the mean number of dessert orders per 1,000 orders. 

2. Suppose that Stephanie is not happy with the margin of error associated with the confidence interval estimate you found in question 1 and wants the margin of error to be no greater than +/-6 dessert orders per 1,000 customer orders. To meet this objective, how many more stores should be included in the sample? Alternatively, if Stephanie doesn't wish to increase the sample size, what other option is available to reduce the margin of error? Discuss the pros and cons of both approaches. 

  • You need to answer the questions above in paragraph form as if you are writing to Stephanie Linwood.
  • Students can work together on the case study. However, each student must turn in their answers in their own words. Your paper needs to be uploaded to Blackboard. It should not be longer than 1 page.

Sampled Store

Dessert Orders Per 1,000 Transactions

Store 1

185

Store 2

226

Store 3

290

Store 4

226

Store 5

255

Store 6

293

Store 7

138

Store 8

203

Store 9

276

Store 10

173

Store 11

275

Store 12

199

Store 13

213

Store 14

321

Store 15

97

Store 16

152

Store 17

319

Store 18

193

Store 19

126

Store 20

215

Store 21

186

Store 22

289

Store 23

181

Store 24

196

Store 25

183

Store 26

90

Store 27

178

Store 28

103

Store 29

173

Store 30

231

Store 31

158

Store 32

202

Store 33

234

Store 34

273

Store 35

218

Store 36

247

Store 37

223

Store 38

108

Store 39

238

Store 40

143

Store 41

206

Store 42

300

Store 43

89

Store 44

202

Store 45

250

Store 46

210

Store 47

137

Store 48

215

Store 49

204

Store 50

188

Store 51

255

Store 52

196

Store 53

123

Store 54

189

Store 55

206

Store 56

146

Store 57

136

Store 58

211

Store 59

164

Store 60

246

Store 61

324

Store 62

125

Store 63

195

Store 64

173

Store 65

179

Store 66

76

Store 67

248

Store 68

199

Store 69

223

Store 70

240

Store 71

224

Store 72

215

Store 73

222

Store 74

170

Store 75

147

Store 76

185

Store 77

207

Store 78

148

Store 79

273

Store 80

156

Store 81

213

Store 82

155

Store 83

201

Store 84

176

Store 85

111

Store 86

106

Store 87

232

Store 88

207

Store 89

210

Store 90

255

Store 91

242

Store 92

278

Store 93

224

Store 94

170

Store 95

225

Store 96

242

Store 97

309

Store 98

209

Store 99

203

Store 100

148

Store 101

190

Store 102

266

Store 103

256

Store 104

216

Store 105

230

Store 106

175

Store 107

127

Store 108

208

Store 109

240

Store 110

169

Store 111

91

Store 112

273

Store 113

218

Store 114

170

Store 115

210

Store 116

189

Store 117

111

Store 118

292

Store 119

151

Store 120

176

Store 121

132

Store 122

226

Store 123

241

Store 124

155

Store 125

239

Store 126

215

Store 127

205

Store 128

257

Store 129

189

Store 130

205

Store 131

178

Store 132

166

Store 133

211

Store 134

146

Store 135

183

Store 136

192

Store 137

145

Store 138

229

Store 139

304

Store 140

227

Store 141

139

Store 142

155

Reference no: EM133045958

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