Lottery choice

1 - keep the product 2 - take the money

## 
##   1   2 
##  35 135

How many people clicked product detail page

## [1] "Number of users that checked product detail page: 30"
## [1] "Percentage of users that checked product detail page: 0.88235294117647"

How long do people spend on the shopping task?

## [1] "Summary of browsing time (seconds):"
##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
##    6.00   47.75   94.00  157.06  257.25  603.00
## [1] "Detailed statistics:"
##       mean median      sd min max  n
## 1 157.0588     94 147.443   6 603 34

How many choices people made?

## Number of people who made one choice: 8 ( 23.53 %)
## Number of people who made two choices: 26 ( 76.47 %)
## Number of people who made more than two choices: 0 ( 0 %)
## Total number of unique users: 34
## How many chosen product's clinical image is checked out: 3 ( 14.29 %)
## How many chosen product's clinical results is checked out: 2 ( 9.52 %)
## How many chosen product's clinical results/images is checked out: 5 ( 23.81 %)

data pattern: How many checked at clinical result text or image when it is present (for selected users)

## Proportion of people who checked the product page: 30 out of 34 ( 88.24 %)
## Of people in the treatment group who checked product pages, 4 out of 19 ( 21.05 %) also viewed clinical results/images
##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
##   1.000   2.000   2.000   2.971   3.000  13.000
## Standard Deviation: 2.46

Proportion that choose Group I product (with claim in treatment condition)

## # A tibble: 2 × 7
##   Group         n mean_treatment_pa sd_treatment_pa se_treatment_pa ci_lower
##   <chr>     <int>             <dbl>           <dbl>           <dbl>    <dbl>
## 1 Control      22             0.636           0.492          0.105     0.418
## 2 Treatment    38             0.553           0.504          0.0817    0.387
## # ℹ 1 more variable: ci_upper <dbl>
## 
##  Welch Two Sample t-test
## 
## data:  treatment_pa by Group
## t = 0.62935, df = 44.833, p-value = 0.5323
## alternative hypothesis: true difference in means between group Control and group Treatment is not equal to 0
## 95 percent confidence interval:
##  -0.1842634  0.3517275
## sample estimates:
##   mean in group Control mean in group Treatment 
##               0.6363636               0.5526316

## # A tibble: 2 × 7
##   Group         n mean_treatment_pa sd_treatment_pa se_treatment_pa ci_lower
##   <chr>     <int>             <dbl>           <dbl>           <dbl>    <dbl>
## 1 Control      12             0.667           0.492           0.142    0.354
## 2 Treatment    22             0.455           0.510           0.109    0.229
## # ℹ 1 more variable: ci_upper <dbl>
## 
##  Welch Two Sample t-test
## 
## data:  treatment_pa by Group
## t = 1.1856, df = 23.424, p-value = 0.2477
## alternative hypothesis: true difference in means between group Control and group Treatment is not equal to 0
## 95 percent confidence interval:
##  -0.1576101  0.5818525
## sample estimates:
##   mean in group Control mean in group Treatment 
##               0.6666667               0.4545455